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1.4.0 | GHSA-c968-pq7h-7fxv | 2021-05-18T23:22:10Z | 2021-05-21T14:21:39Z | null | ['CVE-2021-29522'] | Division by 0 in `Conv3DBackprop*` | ### Impact
The `tf.raw_ops.Conv3DBackprop*` operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0:
```python
import tensorflow as tf
input_sizes = tf.constant([0, 0, 0, 0, 0], shape=[5], dtype=tf.int32)
filter_tensor = tf.constant([], shape=[0, 0, 0, 1, 0], dtype=tf.float32)
out_backprop = tf.constant([], shape=[0, 0, 0, 0, 0], dtype=tf.float32)
tf.raw_ops.Conv3DBackpropInputV2(input_sizes=input_sizes, filter=filter_tensor, out_backprop=out_backprop, strides=[1, 1, 1, 1, 1], padding='SAME', data_format='NDHWC', dilations=[1, 1, 1, 1, 1])
```
```python
import tensorflow as tf
input_sizes = tf.constant([1], shape=[1, 1, 1, 1, 1], dtype=tf.float32)
filter_tensor = tf.constant([0, 0, 0, 1, 0], shape=[5], dtype=tf.int32)
out_backprop = tf.constant([], shape=[1, 1, 1, 1, 0], dtype=tf.float32)
tf.raw_ops.Conv3DBackpropFilterV2(input=input_sizes, filter_sizes=filter_tensor, out_backprop=out_backprop, strides=[1, 1, 1, 1, 1], padding='SAME', data_format='NDHWC', dilations=[1, 1, 1, 1, 1])
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/a91bb59769f19146d5a0c20060244378e878f140/tensorflow/core/kernels/conv_grad_ops_3d.cc#L430-L450) does not check that the divisor used in computing the shard size is not zero:
```cc
const int64 size_A = output_image_size * dims.out_depth;
const int64 size_B = filter_total_size * dims.out_depth;
const int64 size_C = output_image_size * filter_total_size;
const int64 work_unit_size = size_A + size_B + size_C;
...
const size_t shard_size =
use_parallel_contraction
? 1
: (target_working_set_size + work_unit_size - 1) / work_unit_size;
```
Thus, if attacker controls the input sizes, they can trigger a denial of service via a division by zero error.
### Patches
We have patched the issue in GitHub commit [311403edbc9816df80274bd1ea8b3c0c0f22c3fa](https://github.com/tensorflow/tensorflow/commit/311403edbc9816df80274bd1ea8b3c0c0f22c3fa).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c968-pq7h-7fxv'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29522'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/311403edbc9816df80274bd1ea8b3c0c0f22c3fa'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:22:10Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-j7rm-8ww4-xx2g | 2021-05-18T17:02:05Z | 2021-05-21T14:26:45Z | null | ['CVE-2021-29587'] | Division by zero in TFLite's implementation of `SpaceToDepth` | ### Impact
The `Prepare` step of the `SpaceToDepth` TFLite operator [does not check for 0 before division](https://github.com/tensorflow/tensorflow/blob/5f7975d09eac0f10ed8a17dbb6f5964977725adc/tensorflow/lite/kernels/space_to_depth.cc#L63-L67).
```cc
const int block_size = params->block_size;
const int input_height = input->dims->data[1];
const int input_width = input->dims->data[2];
int output_height = input_height / block_size;
int output_width = input_width / block_size;
```
An attacker can craft a model such that `params->block_size` would be zero.
### Patches
We have patched the issue in GitHub commit [0d45ea1ca641b21b73bcf9c00e0179cda284e7e7](https://github.com/tensorflow/tensorflow/commit/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by members of the Aivul Team from Qihoo 360. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j7rm-8ww4-xx2g'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29587'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T17:02:05Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-xcwj-wfcm-m23c | 2021-05-18T23:03:26Z | 2021-05-21T14:22:09Z | null | ['CVE-2021-29530'] | Invalid validation in `SparseMatrixSparseCholesky` | ### Impact
An attacker can trigger a null pointer dereference by providing an invalid `permutation` to `tf.raw_ops.SparseMatrixSparseCholesky`:
```python
import tensorflow as tf
import numpy as np
from tensorflow.python.ops.linalg.sparse import sparse_csr_matrix_ops
indices_array = np.array([[0, 0]])
value_array = np.array([-10.0], dtype=np.float32)
dense_shape = [1, 1]
st = tf.SparseTensor(indices_array, value_array, dense_shape)
input = sparse_csr_matrix_ops.sparse_tensor_to_csr_sparse_matrix(
st.indices, st.values, st.dense_shape)
permutation = tf.constant([], shape=[1, 0], dtype=tf.int32)
tf.raw_ops.SparseMatrixSparseCholesky(input=input, permutation=permutation, type=tf.float32)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/kernels/sparse/sparse_cholesky_op.cc#L85-L86) fails to properly validate the input arguments:
```cc
void Compute(OpKernelContext* ctx) final {
...
const Tensor& input_permutation_indices = ctx->input(1);
...
ValidateInputs(ctx, *input_matrix, input_permutation_indices, &batch_size, &num_rows);
...
}
void ValidateInputs(OpKernelContext* ctx,
const CSRSparseMatrix& sparse_matrix,
const Tensor& permutation_indices, int* batch_size,
int64* num_rows) {
OP_REQUIRES(ctx, sparse_matrix.dtype() == DataTypeToEnum<T>::value, ...)
...
}
```
Although `ValidateInputs` is called and there are checks in the body of this function, the code proceeds to the next line in `ValidateInputs` since [`OP_REQUIRES`](https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/framework/op_requires.h#L41-L48) is a macro that only exits the current function.
```cc
#define OP_REQUIRES(CTX, EXP, STATUS) \
do { \
if (!TF_PREDICT_TRUE(EXP)) { \
CheckNotInComputeAsync((CTX), "OP_REQUIRES_ASYNC"); \
(CTX)->CtxFailure(__FILE__, __LINE__, (STATUS)); \
return; \
} \
} while (0)
```
Thus, the first validation condition that fails in `ValidateInputs` will cause an early return from that function. However, the caller will continue execution from the next line. The fix is to either explicitly check `context->status()` or to convert `ValidateInputs` to return a `Status`.
### Patches
We have patched the issue in GitHub commit [e6a7c7cc18c3aaad1ae0872cb0a959f5c923d2bd](https://github.com/tensorflow/tensorflow/commit/e6a7c7cc18c3aaad1ae0872cb0a959f5c923d2bd).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xcwj-wfcm-m23c'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29530'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/e6a7c7cc18c3aaad1ae0872cb0a959f5c923d2bd'}] | {'cwe_ids': ['CWE-476'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:03:26Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-8v27-2fg9-7h62 | 2021-05-06T16:12:57Z | 2021-05-06T16:11:25Z | 2021-05-04T20:26:20Z | ['CVE-2021-23334'] | Withdrawn: Arbitrary Code Execution in static-eval | All versions of package static-eval are vulnerable to Arbitrary Code Execution using FunctionExpressions and TemplateLiterals. PoC: var evaluate = require('static-eval'); var parse = require('esprima').parse; var src="(function (x) { return ${eval("console.log(global.process.mainModule.constructor._load('child_process').execSync('ls').toString())")} })()" var ast = parse(src).body[0].expression; evaluate(ast)
# WITHDRAWN
This was deemed not a vulnerability. See [this issue](https://github.com/browserify/static-eval/issues/34) for details. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'static-eval'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '2.1.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-23334'}, {'type': 'WEB', 'url': 'https://github.com/browserify/static-eval/blob/master/index.js%23L180'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1071860'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-STATICEVAL-1056765'}] | {'cwe_ids': ['CWE-94'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-03-18T23:01:14Z', 'nvd_published_at': '2021-02-11T12:15:00Z'} |
1.4.0 | GHSA-h74j-692g-48mq | 2023-09-29T17:04:48Z | 2021-05-18T15:31:53Z | null | ['CVE-2019-10743'] | Path Traversal in MHolt Archiver | All versions of archiver allow attacker to perform a Zip Slip attack via the "unarchive" functions. It is exploited using a specially crafted zip archive, that holds path traversal filenames. When exploited, a filename in a malicious archive is concatenated to the target extraction directory, which results in the final path ending up outside of the target folder. For instance, a zip may hold a file with a "../../file.exe" location and thus break out of the target folder. If an executable or a configuration file is overwritten with a file containing malicious code, the problem can turn into an arbitrary code execution issue quite easily.
### Specific Go Packages Affected
github.com/mholt/archiver/cmd/arc | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/mholt/archiver'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '3.0.0'}, {'fixed': '3.3.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-10743'}, {'type': 'WEB', 'url': 'https://github.com/mholt/archiver/pull/169'}, {'type': 'WEB', 'url': 'https://github.com/mholt/archiver/pull/203'}, {'type': 'WEB', 'url': 'https://github.com/mholt/archiver/commit/8217ed3a206c0473b4ec1aff51375b398838073a'}, {'type': 'WEB', 'url': 'https://github.com/snyk/zip-slip-vulnerability'}, {'type': 'WEB', 'url': 'https://snyk.io/research/zip-slip-vulnerability'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-GOLANG-GITHUBCOMMHOLTARCHIVERCMDARC-174728,'}] | {'cwe_ids': ['CWE-29'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:21:43Z', 'nvd_published_at': None} |
1.4.0 | GHSA-pgmg-gf5p-54j8 | 2023-09-07T00:00:21Z | 2021-05-06T18:26:14Z | null | ['CVE-2020-7718'] | Prototype Pollution in gammautils | All versions of package gammautils up to and including version 0.0.81 are vulnerable to Prototype Pollution via the `deepSet` and `deepMerge` functions. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'gammautils'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.0.81'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7718'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-GAMMAUTILS-598670'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T18:05:47Z', 'nvd_published_at': '2020-09-01T10:15:00Z'} |
1.4.0 | GHSA-3p3g-vpw6-4w66 | 2023-09-29T17:16:04Z | 2021-05-27T18:43:22Z | null | ['CVE-2020-5300'] | Authentication Bypass in hydra | ### Impact
When using client authentication method "private_key_jwt" [1], OpenId specification says the following about assertion `jti`:
> A unique identifier for the token, which can be used to prevent reuse of the token. These tokens MUST only be used once, unless conditions for reuse were negotiated between the parties
Hydra does not seem to check the uniqueness of this `jti` value. Here is me sending the same token request twice, hence with the same `jti` assertion, and getting two access tokens:
```
$ curl --insecure --location --request POST 'https://localhost/_/oauth2/token' \
--header 'Content-Type: application/x-www-form-urlencoded' \
--data-urlencode 'grant_type=client_credentials' \
--data-urlencode 'client_id=c001d00d-5ecc-beef-ca4e-b00b1e54a111' \
--data-urlencode 'scope=application openid' \
--data-urlencode 'client_assertion_type=urn:ietf:params:oauth:client-assertion-type:jwt-bearer' \
--data-urlencode 'client_assertion=eyJhb [...] jTw'
{"access_token":"zeG0NoqOtlACl8q5J6A-TIsNegQRRUzqLZaYrQtoBZQ.VR6iUcJQYp3u_j7pwvL7YtPqGhtyQe5OhnBE2KCp5pM","expires_in":3599,"scope":"application openid","token_type":"bearer"}⏎ ~$ curl --insecure --location --request POST 'https://localhost/_/oauth2/token' \
--header 'Content-Type: application/x-www-form-urlencoded' \
--data-urlencode 'grant_type=client_credentials' \
--data-urlencode 'client_id=c001d00d-5ecc-beef-ca4e-b00b1e54a111' \
--data-urlencode 'scope=application openid' \
--data-urlencode 'client_assertion_type=urn:ietf:params:oauth:client-assertion-type:jwt-bearer' \
--data-urlencode 'client_assertion=eyJhb [...] jTw'
{"access_token":"wOYtgCLxLXlELORrwZlmeiqqMQ4kRzV-STU2_Sollas.mwlQGCZWXN7G2IoegUe1P0Vw5iGoKrkOzOaplhMSjm4","expires_in":3599,"scope":"application openid","token_type":"bearer"}
```
### Severity
We rate the severity as medium because the following reasons make it hard to replay tokens without the patch:
- TLS protects against MITM which makes it difficult to intercept valid tokens for replay attacks
- The expiry time of the JWT gives only a short window of opportunity where it could be replayed
### Patches
This will be patched with v1.4.0+oryOS.17
### Workarounds
Two workarounds have been identified:
- Do not allow clients to use `private_key_jwt`
- Use short expiry times for the JWTs
### References
https://openid.net/specs/openid-connect-core-1_0.html#ClientAuthentication
### Upstream
This issue will be resolved in the upstream repository https://github.com/ory/fosite | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:N/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/ory/hydra'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.4.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/ory/hydra/security/advisories/GHSA-3p3g-vpw6-4w66'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-5300'}, {'type': 'WEB', 'url': 'https://github.com/ory/hydra/commit/700d17d3b7d507de1b1d459a7261d6fb2571ebe3'}, {'type': 'PACKAGE', 'url': 'https://github.com/ory/hydra'}, {'type': 'WEB', 'url': 'https://github.com/ory/hydra/releases/tag/v1.4.0'}, {'type': 'WEB', 'url': 'https://openid.net/specs/openid-connect-core-1_0.html#ClientAuthentication'}] | {'cwe_ids': ['CWE-294'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-24T21:19:26Z', 'nvd_published_at': None} |
1.4.0 | GHSA-23x4-m842-fmwf | 2023-06-30T20:30:26Z | 2021-05-11T00:04:40Z | null | ['CVE-2021-21428'] | Creation of Temporary File in Directory with Insecure Permissions in the OpenAPI-Generator online generator | ### Impact
On Unix like systems, the system's temporary directory is shared between all users on that system. A collocated user can observe the process of creating a temporary sub directory in the shared temporary directory and race to complete the creation of the temporary subdirectory.
This vulnerability is local privilege escalation because the contents of the outputFolder can be appended to by an attacker. As such, code written to this directory, when executed can be attacker controlled.
openapi-generator-online creates insecure temporary folders with `File.createTempFile` during the code generation process. The insecure temporary folders store the auto-generated files which can be read and appended to by any users on the system.
### Vulnerable Code
https://github.com/OpenAPITools/openapi-generator/blob/c6530519975341d7784a252132b2f0854f488901/modules/openapi-generator-online/src/main/java/org/openapitools/codegen/online/service/Generator.java#L184-L187
This vulnerability exists due to a race condition between the deletion of the randomly generated temporary file and the creation of the temporary directory.
```java
File outputFolder = File.createTempFile("codegen-", "-tmp"); // Attacker knows the full path of the file that will be generated
// delete the file that was created
outputFolder.delete(); // Attacker sees file is deleted and begins a race to create their own directory before the code generator
// and make a directory of the same name
// SECURITY VULNERABILITY: Race Condition! - Attacker beats the code generator and now owns this directory
outputFolder.mkdir();
```
### Patches
The issue has been patched by changing the underlying logic to use `Files.createTempFile` and has been released in the v5.1.0 stable version.
This vulnerability has the same root cause as CVE-2021-21363 from the `swagger-api/swagger-codegen` project as this project and that one both share the same original source tree.
See: https://github.com/swagger-api/swagger-codegen/security/advisories/GHSA-pc22-3g76-gm6j
### For more information
If you have any questions or comments about this advisory:
* Open an issue in [OpenAPI Generator Github repo](https://github.com/openAPITools/openapi-generator/)
* Email us at [security@openapitools.org](mailto:security@openapitools.org) | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.openapitools:openapi-generator-online'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '5.1.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/OpenAPITools/openapi-generator/security/advisories/GHSA-23x4-m842-fmwf'}, {'type': 'WEB', 'url': 'https://github.com/swagger-api/swagger-codegen/security/advisories/GHSA-pc22-3g76-gm6j'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-21428'}, {'type': 'WEB', 'url': 'https://github.com/OpenAPITools/openapi-generator/pull/8788'}, {'type': 'PACKAGE', 'url': 'https://github.com/OpenAPITools/openapi-generator'}, {'type': 'WEB', 'url': 'https://github.com/OpenAPITools/openapi-generator/blob/c6530519975341d7784a252132b2f0854f488901/modules/openapi-generator-online/src/main/java/org/openapitools/codegen/online/service/Generator.java#L184-L187'}] | {'cwe_ids': ['CWE-269', 'CWE-377', 'CWE-378', 'CWE-379', 'CWE-668'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-10T18:52:04Z', 'nvd_published_at': '2021-05-10T19:15:00Z'} |
1.4.0 | GHSA-79fv-9865-4qcv | 2021-05-18T18:02:34Z | 2021-05-21T14:26:23Z | null | ['CVE-2021-29579'] | Heap buffer overflow in `MaxPoolGrad` | ### Impact
The implementation of `tf.raw_ops.MaxPoolGrad` is vulnerable to a heap buffer overflow:
```python
import tensorflow as tf
orig_input = tf.constant([0.0], shape=[1, 1, 1, 1], dtype=tf.float32)
orig_output = tf.constant([0.0], shape=[1, 1, 1, 1], dtype=tf.float32)
grad = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32)
ksize = [1, 1, 1, 1]
strides = [1, 1, 1, 1]
padding = "SAME"
tf.raw_ops.MaxPoolGrad(
orig_input=orig_input, orig_output=orig_output, grad=grad, ksize=ksize,
strides=strides, padding=padding, explicit_paddings=[])
```
The [implementation](https://github.com/tensorflow/tensorflow/blob/ab1e644b48c82cb71493f4362b4dd38f4577a1cf/tensorflow/core/kernels/maxpooling_op.cc#L194-L203) fails to validate that indices used to access elements of input/output arrays are valid:
```cc
for (int index = out_start; index < out_end; ++index) {
int input_backprop_index = out_arg_max_flat(index);
FastBoundsCheck(input_backprop_index - in_start, in_end - in_start);
input_backprop_flat(input_backprop_index) += out_backprop_flat(index);
}
```
Whereas accesses to `input_backprop_flat` are guarded by `FastBoundsCheck`, the indexing in `out_backprop_flat` can result in OOB access.
### Patches
We have patched the issue in GitHub commit [a74768f8e4efbda4def9f16ee7e13cf3922ac5f7](https://github.com/tensorflow/tensorflow/commit/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-79fv-9865-4qcv'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29579'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7'}] | {'cwe_ids': ['CWE-119', 'CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T18:02:34Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-3892-2r52-p65m | 2023-01-25T22:49:54Z | 2021-05-24T18:20:07Z | null | ['CVE-2020-7671'] | HTTP Request Smuggling in goliath | goliath through 1.0.6 allows request smuggling attacks where goliath is used as a backend and a frontend proxy also being vulnerable. It is possible to conduct HTTP request smuggling attacks by sending the Content-Length header twice. Furthermore, invalid Transfer Encoding headers were found to be parsed as valid which could be leveraged for TE:CL smuggling attacks. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N'}] | [{'package': {'ecosystem': 'RubyGems', 'name': 'goliath'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.0.6'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7671'}, {'type': 'WEB', 'url': 'https://github.com/postrank-labs/goliath/issues/351'}, {'type': 'PACKAGE', 'url': 'https://github.com/postrank-labs/goliath'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-RUBY-GOLIATH-569136'}] | {'cwe_ids': ['CWE-444'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-13T17:20:47Z', 'nvd_published_at': '2020-06-10T16:15:00Z'} |
1.4.0 | GHSA-vh5w-fg69-rc8m | 2021-05-06T20:57:55Z | 2021-05-07T16:06:34Z | null | ['CVE-2020-8910'] | Improper Input Validation in Google Closure Library | A URL parsing issue in goog.uri of the Google Closure Library versions up to and including v20200224 allows an attacker to send malicious URLs to be parsed by the library and return the wrong authority. Mitigation -- update your library to version v20200315. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'google-closure-library'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '20200315.0.0'}]}], 'database_specific': {'last_known_affected_version_range': '<= 20200224.0.0'}}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-8910'}, {'type': 'WEB', 'url': 'https://github.com/google/closure-library/commit/294fc00b01d248419d8f8de37580adf2a0024fc9'}, {'type': 'WEB', 'url': 'https://github.com/google/closure-library/releases/tag/v20200315'}] | {'cwe_ids': ['CWE-20'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-06T20:57:55Z', 'nvd_published_at': '2020-03-26T12:15:00Z'} |
1.4.0 | GHSA-v2jv-33gh-xx29 | 2022-07-05T18:00:39Z | 2021-05-07T16:06:23Z | null | ['CVE-2021-23374'] | Command Injection in ps-visitor | This affects all versions up to and including version 0.0.2 of package ps-visitor. If attacker-controlled user input is given to the kill function, it is possible for an attacker to execute arbitrary commands. This is due to use of the child_process exec function without input sanitization. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'ps-visitor'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.0.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-23374'}, {'type': 'PACKAGE', 'url': 'https://github.com/WisdomKwan/ps-visitor'}, {'type': 'WEB', 'url': 'https://github.com/WisdomKwan/ps-visitor/blob/cdfc934a8e4af95aa0473f4b2a4bd091d09faf2f/index.js#23L404'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-PSVISITOR-1078544'}] | {'cwe_ids': ['CWE-77'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-06T22:31:21Z', 'nvd_published_at': '2021-04-18T19:15:00Z'} |
1.4.0 | GHSA-4943-9vgg-gr5r | 2022-03-22T15:00:36Z | 2021-05-10T15:38:12Z | null | ['CVE-2021-3163'] | Cross-site Scripting in quill | A vulnerability in the HTML editor of Slab Quill allows an attacker to execute arbitrary JavaScript by storing an XSS payload (a crafted `onloadstart` attribute of an IMG element) in a text field. No patch exists and no further releases are planned.
This CVE is disputed. Researchers have claimed that this issue is not within the product itself, but is intended behavior in a web browser. More information can be found [here](https://github.com/quilljs/quill/issues/3364). | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'quill'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.3.7'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-3163'}, {'type': 'WEB', 'url': 'https://github.com/quilljs/quill/issues/3273'}, {'type': 'WEB', 'url': 'https://github.com/quilljs/quill/issues/3359'}, {'type': 'WEB', 'url': 'https://github.com/quilljs/quill/issues/3364'}, {'type': 'WEB', 'url': 'https://burninatorsec.blogspot.com/2021/04/cve-2021-3163-xss-slab-quill-js.html'}, {'type': 'PACKAGE', 'url': 'https://github.com/quilljs/quill'}, {'type': 'WEB', 'url': 'https://quilljs.com'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-07T18:12:32Z', 'nvd_published_at': '2021-04-12T21:15:00Z'} |
1.4.0 | GHSA-36vm-xw34-x4pj | 2021-05-18T19:48:31Z | 2021-05-21T14:25:02Z | null | ['CVE-2021-29562'] | CHECK-fail in `tf.raw_ops.IRFFT` | ### Impact
An attacker can cause a denial of service by exploiting a `CHECK`-failure coming from the implementation of `tf.raw_ops.IRFFT`:
```python
import tensorflow as tf
values = [-10.0] * 130
values[0] = -9.999999999999995
inputs = tf.constant(values, shape=[10, 13], dtype=tf.float32)
inputs = tf.cast(inputs, dtype=tf.complex64)
fft_length = tf.constant([0], shape=[1], dtype=tf.int32)
tf.raw_ops.IRFFT(input=inputs, fft_length=fft_length)
```
The above example causes Eigen code to operate on an empty matrix. This triggers on an assertion and causes program termination.
### Patches
We have patched the issue in GitHub commit [1c56f53be0b722ca657cbc7df461ed676c8642a2](https://github.com/tensorflow/tensorflow/commit/1c56f53be0b722ca657cbc7df461ed676c8642a2).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-36vm-xw34-x4pj'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29562'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/1c56f53be0b722ca657cbc7df461ed676c8642a2'}] | {'cwe_ids': ['CWE-617'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T19:48:31Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-4j46-mp85-mv8c | 2021-05-18T01:51:52Z | 2021-05-18T01:52:24Z | null | ['CVE-2020-7684'] | Path traversal in rollup-plugin-serve | Path traversal in npm package `rollup-plugin-serve` before version 1.0.2. There is no path sanitization in `readFile` operation. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'rollup-plugin-serve'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.0.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7684'}, {'type': 'WEB', 'url': 'https://github.com/thgh/rollup-plugin-serve/commit/3d144f2f47e86fcba34f5a144968da94220e3969'}, {'type': 'WEB', 'url': 'https://github.com/thgh/rollup-plugin-serve/releases/tag/v1.0.2'}, {'type': 'WEB', 'url': 'https://vuldb.com/?id.158745'}] | {'cwe_ids': ['CWE-22'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-10T21:12:24Z', 'nvd_published_at': '2020-07-17T08:15:00Z'} |
1.4.0 | GHSA-cpcr-74q9-74gp | 2022-03-02T21:02:00Z | 2021-05-10T15:19:04Z | null | ['CVE-2021-26074'] | Broken Authentication in Atlassian Connect Spring Boot | Broken Authentication in Atlassian Connect Spring Boot (ACSB) from version 1.1.0 before version 2.1.3. Atlassian Connect Spring Boot is a Java Spring Boot package for building Atlassian Connect apps. Authentication between Atlassian products and the Atlassian Connect Spring Boot app occurs with a server-to-server JWT or a context JWT. Atlassian Connect Spring Boot versions between 1.1.0 - 2.1.2 erroneously accept context JWTs in lifecycle endpoints (such as installation) where only server-to-server JWTs should be accepted, permitting an attacker to send authenticated re-installation events to an app. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N'}] | [{'package': {'ecosystem': 'Maven', 'name': 'com.atlassian.connect:atlassian-connect-spring-boot-starter'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.1.0'}, {'fixed': '2.1.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-26074'}, {'type': 'WEB', 'url': 'https://community.developer.atlassian.com/t/action-required-atlassian-connect-vulnerability-allows-bypass-of-app-qsh-verification-via-context-jwts/47072'}, {'type': 'WEB', 'url': 'https://confluence.atlassian.com/pages/viewpage.action?pageId=1051986106'}] | {'cwe_ids': ['CWE-287', 'CWE-863'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-19T21:31:53Z', 'nvd_published_at': '2021-04-16T03:15:00Z'} |
1.4.0 | GHSA-crch-j389-5f84 | 2021-05-17T22:28:10Z | 2021-05-21T14:28:15Z | null | ['CVE-2021-29603'] | Heap OOB write in TFLite | ### Impact
A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of [`ArgMin`/`ArgMax`](https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/arg_min_max.cc#L52-L59):
```cc
TfLiteIntArray* output_dims = TfLiteIntArrayCreate(NumDimensions(input) - 1);
int j = 0;
for (int i = 0; i < NumDimensions(input); ++i) {
if (i != axis_value) {
output_dims->data[j] = SizeOfDimension(input, i);
++j;
}
}
```
If `axis_value` is not a value between 0 and `NumDimensions(input)`, then the condition in the `if` is never true, so code writes past the last valid element of `output_dims->data`.
### Patches
We have patched the issue in GitHub commit [c59c37e7b2d563967da813fa50fe20b21f4da683](https://github.com/tensorflow/tensorflow/commit/c59c37e7b2d563967da813fa50fe20b21f4da683).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by members of the Aivul Team from Qihoo 360. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-crch-j389-5f84'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29603'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/c59c37e7b2d563967da813fa50fe20b21f4da683'}] | {'cwe_ids': ['CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T22:28:10Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-rjqq-98f6-6j3r | 2022-04-27T19:14:02Z | 2021-05-06T16:10:05Z | null | ['CVE-2021-26539'] | Improper Input Validation in sanitize-html | Apostrophe Technologies sanitize-html before 2.3.1 does not properly handle internationalized domain name (IDN) which could allow an attacker to bypass hostname whitelist validation set by the "allowedIframeHostnames" option. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'sanitize-html'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.3.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-26539'}, {'type': 'WEB', 'url': 'https://github.com/apostrophecms/sanitize-html/pull/458'}, {'type': 'WEB', 'url': 'https://github.com/apostrophecms/sanitize-html/commit/bdf7836ef8f0e5b21f9a1aab0623ae8fcd09c1da'}, {'type': 'WEB', 'url': 'https://advisory.checkmarx.net/advisory/CX-2021-4308'}, {'type': 'PACKAGE', 'url': 'https://github.com/apostrophecms/sanitize-html'}, {'type': 'WEB', 'url': 'https://github.com/apostrophecms/sanitize-html/blob/main/CHANGELOG.md#231-2021-01-22'}] | {'cwe_ids': ['CWE-20'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-03-29T23:13:26Z', 'nvd_published_at': '2021-02-08T17:15:00Z'} |
1.4.0 | GHSA-j7cg-h9v9-6vqp | 2023-09-07T22:07:24Z | 2021-05-06T17:29:19Z | null | ['CVE-2020-7708'] | Prototype Pollution in irrelon-path and @irrelon/path | The package irrelon-path before 4.7.0; the package @irrelon/path before 4.7.0 are vulnerable to Prototype Pollution via the set, unSet, pushVal and pullVal functions. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'irrelon-path'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '4.7.0'}]}]}, {'package': {'ecosystem': 'npm', 'name': '@irrelon/path'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '4.7.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7708'}, {'type': 'WEB', 'url': 'https://github.com/Irrelon/irrelon-path/commit/8a126b160c1a854ae511659c111413ad9910ebe3'}, {'type': 'PACKAGE', 'url': 'https://github.com/Irrelon/irrelon-path'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-IRRELONPATH-598672'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-IRRELONPATH-598673'}] | {'cwe_ids': ['CWE-1321', 'CWE-915'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T21:25:03Z', 'nvd_published_at': '2020-08-18T15:15:00Z'} |
1.4.0 | GHSA-5jqp-qgf6-3pvh | 2021-05-13T18:54:35Z | 2021-05-13T20:23:17Z | null | ['CVE-2021-29510'] | Use of "infinity" as an input to datetime and date fields causes infinite loop in pydantic |
Impact
Passing either 'infinity', 'inf' or float('inf') (or their negatives) to datetime or date fields causes validation to run forever with 100% CPU usage (on one CPU).
Patches
Pydantic is be patched with fixes available in the following versions:
v1.8.2
v1.7.4
v1.6.2
All these versions are available on pypi, and will be available on conda-forge soon.
See the changelog for details.
Workarounds
If you absolutely can't upgrade, you can work around this risk using a validator to catch these values, brief demo:
from datetime import date
from pydantic import BaseModel, validator
class DemoModel(BaseModel):
date_of_birth: date
@validator('date_of_birth', pre=True)
def skip_infinite_values(cls, v):
try:
seconds = float(v)
except (ValueError, TypeError):
return v
else:
if seconds == float('inf'):
return date.max
elif seconds == float('-inf'):
return date.min
else:
return seconds
Note: this is not an ideal solution (in particular you'll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic.
If you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.
References
This was fixed in commit 7e83fdd.
| [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'pydantic'}, 'ecosystem_specific': {'affected_functions': ['pydantic.datetime_parse.from_unix_seconds']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.8.0'}, {'fixed': '1.8.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'pydantic'}, 'ecosystem_specific': {'affected_functions': ['pydantic.datetime_parse.from_unix_seconds']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.7.0'}, {'fixed': '1.7.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'pydantic'}, 'ecosystem_specific': {'affected_functions': ['pydantic.datetime_parse.from_unix_seconds']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.6.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/samuelcolvin/pydantic/security/advisories/GHSA-5jqp-qgf6-3pvh'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29510'}, {'type': 'WEB', 'url': 'https://github.com/pydantic/pydantic/commit/1c24f1d74ba95ea985b50bdc001ce96c813229aa'}, {'type': 'WEB', 'url': 'https://github.com/pydantic/pydantic/commit/80e0dd3f752bef145dce12f160d262bb40ec8d47'}, {'type': 'WEB', 'url': 'https://github.com/pydantic/pydantic/commit/bdde15b7b947c94ca00fd6eb92da8db390a13520'}, {'type': 'WEB', 'url': 'https://github.com/samuelcolvin/pydantic/commit/7e83fdd2563ffac081db7ecdf1affa65ef38c468'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/S2HT266L6Q7H6ICP7DFGXOGBJHNNKMKB/'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UEFWM7DYKD2ZHE7R5YT5EQWJPV4ZKYRB/'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UMKAJX4O6IGBBCE32CO2G7PZQCCQSBLV/'}] | {'cwe_ids': ['CWE-835'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-13T18:54:35Z', 'nvd_published_at': '2021-05-13T19:15:00Z'} |
1.4.0 | GHSA-4gw3-8f77-f72c | 2021-04-21T17:29:09Z | 2021-05-10T18:46:27Z | null | ['CVE-2020-7760'] | Regular expression denial of service in codemirror | This affects the package codemirror before 5.58.2; the package org.apache.marmotta.webjars:codemirror before 5.58.2.
The vulnerable regular expression is located in https://github.com/codemirror/CodeMirror/blob/cdb228ac736369c685865b122b736cd0d397836c/mode/javascript/javascript.jsL129. The ReDOS vulnerability of the regex is mainly due to the sub-pattern (s|/*.*?*/)* | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'npm', 'name': 'codemirror'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '5.58.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7760'}, {'type': 'WEB', 'url': 'https://github.com/codemirror/CodeMirror/commit/55d0333907117c9231ffdf555ae8824705993bbb'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGAPACHEMARMOTTAWEBJARS-1024450'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARS-1024449'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSBOWER-1024445'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSBOWERGITHUBCODEMIRROR-1024448'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSBOWERGITHUBCOMPONENTS-1024446'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1024447'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-CODEMIRROR-1016937'}, {'type': 'WEB', 'url': 'https://www.debian.org/security/2020/dsa-4789'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/package/codemirror'}, {'type': 'WEB', 'url': 'https://www.oracle.com//security-alerts/cpujul2021.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuApr2021.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuapr2022.html'}] | {'cwe_ids': ['CWE-400'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-21T17:29:09Z', 'nvd_published_at': '2020-10-30T11:15:00Z'} |
1.4.0 | GHSA-v24h-pjjv-mcp6 | 2022-10-06T21:49:52Z | 2021-05-27T18:44:09Z | null | ['CVE-2020-5303'] | Denial of service in Tendermint | ### Description
**Denial of Service 1**
Tendermint 0.33.2 and earlier does not limit the number of P2P connection requests. For each p2p connection, Tendermint allocates XXX bytes. Even though this memory is garbage collected once the connection is terminated (due to duplicate IP or reaching a maximum number of inbound peers), temporary memory spikes can lead to OOM (Out-Of-Memory) exceptions.
Tendermint 0.33.3 (and 0.32.10) limits the total number of P2P incoming connection requests to to `p2p.max_num_inbound_peers + len(p2p.unconditional_peer_ids)`.
Notes:
- Tendermint does not rate limit P2P connection requests per IP (an attacker can saturate all the inbound slots);
- Tendermint does not rate limit HTTP(S) requests. If you expose any RPC endpoints to the public, please make sure to put in place some protection (https://www.nginx.com/blog/rate-limiting-nginx/). We may implement this in the future (https://github.com/tendermint/tendermint/issues/1696).
**Denial of Service 2**
Tendermint 0.33.2 and earlier does not reclaim `activeID` of a peer after it's removed in `Mempool` reactor. This does not happen all the time. It only happens when a connection fails (for any reason) before the `Peer` is created and added to all reactors. `RemovePeer` is therefore called before `AddPeer`, which leads to always growing memory (`activeIDs` map). The `activeIDs` map has a maximum size of 65535 and the node will panic if this map reaches the maximum. An attacker can create a lot of connection attempts (exploiting Denial of Service 1), which ultimately will lead to the node panicking.
Tendermint 0.33.3 (and 0.32.10) claims `activeID` for a peer in `InitPeer`, which is executed before `MConnection` is started.
Notes:
- `InitPeer` function was added to all reactors to combat a similar issue - https://github.com/tendermint/tendermint/issues/3338;
- Denial of Service 2 is independent of Denial of Service 1 and can be executed without it.
### Impact
- All full nodes (except for validators who are behind closed networks)
- Node's memory usage increases, then it panics either in the mempool or due to OOM.
### Patches
- v0.33.3
- v0.32.10
- v0.31.12
### Workarounds
No workarounds.
### References
- https://hackerone.com/reports/820317 (not disclosed yet)
- https://github.com/tendermint/tendermint/issues/3338
- https://github.com/tendermint/tendermint/issues/1696
### For more information
If you have any questions or comments about this advisory:
* Open an issue in [tendermint/tendermint](https://github.com/tendermint/tendermint)
* Email us at [security@tendermint.com](mailto:security@tendermint.com)
More information can be found [here](https://tendermint.com/security/).
### Credits
- [fudongbai](https://hackerone.com/fudongbai) for discovering and reporting Denial of Service 2
- Ethan Buchman (@ebuchman) for writing a test case for Denial of Service 2 and Tess Rinearson (@tessr) for fixing it
- Anton Kaliaev (@melekes) for fixing Denial of Service 1 | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/tendermint/tendermint/p2p'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0.33.0'}, {'fixed': '0.33.3'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/tendermint/tendermint/p2p'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.31.12'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/tendermint/tendermint/p2p'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0.32.0'}, {'fixed': '0.32.10'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tendermint/tendermint/security/advisories/GHSA-v24h-pjjv-mcp6'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-5303'}, {'type': 'WEB', 'url': 'https://github.com/tendermint/tendermint/issues/1696'}, {'type': 'WEB', 'url': 'https://github.com/tendermint/tendermint/issues/3338'}, {'type': 'WEB', 'url': 'https://github.com/tendermint/tendermint/commit/e2d6859afd7dba4cf97c7f7d412e7d8fc908d1cd'}, {'type': 'WEB', 'url': 'https://hackerone.com/reports/820317'}, {'type': 'PACKAGE', 'url': 'https://github.com/tendermint/tendermint'}, {'type': 'WEB', 'url': 'https://github.com/tendermint/tendermint/blob/master/CHANGELOG.md#denial-of-service-1'}] | {'cwe_ids': ['CWE-787', 'CWE-789'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-24T21:16:50Z', 'nvd_published_at': None} |
1.4.0 | GHSA-v2wx-jj66-2hp7 | 2021-05-21T17:58:38Z | 2021-05-25T18:45:05Z | null | ['CVE-2021-3536'] | Cross-site Scripting in Wildfly | A flaw was found in Wildfly in versions before 23.0.2.Final while creating a new role in domain mode via the admin console, it is possible to add a payload in the name field, leading to XSS. This affects Confidentiality and Integrity. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.wildfly:wildfly-parent'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '23.0.2.Final'}]}], 'database_specific': {'last_known_affected_version_range': '<= 23.0.1.Final'}}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-3536'}, {'type': 'WEB', 'url': 'https://bugzilla.redhat.com/show_bug.cgi?id=1948001'}] | {'cwe_ids': ['CWE-79'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T17:58:38Z', 'nvd_published_at': '2021-05-20T13:15:00Z'} |
1.4.0 | GHSA-m3f9-w3p3-p669 | 2021-05-18T22:38:55Z | 2021-05-21T14:22:28Z | null | ['CVE-2021-29535'] | Heap buffer overflow in `QuantizedMul` | ### Impact
An attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization:
```python
import tensorflow as tf
x = tf.constant([256, 328], shape=[1, 2], dtype=tf.quint8)
y = tf.constant([256, 328], shape=[1, 2], dtype=tf.quint8)
min_x = tf.constant([], dtype=tf.float32)
max_x = tf.constant([], dtype=tf.float32)
min_y = tf.constant([], dtype=tf.float32)
max_y = tf.constant([], dtype=tf.float32)
tf.raw_ops.QuantizedMul(x=x, y=y, min_x=min_x, max_x=max_x, min_y=min_y, max_y=max_y)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly:
```cc
const float min_x = context->input(2).flat<float>()(0);
const float max_x = context->input(3).flat<float>()(0);
const float min_y = context->input(4).flat<float>()(0);
const float max_y = context->input(5).flat<float>()(0);
```
However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow.
### Patches
We have patched the issue in GitHub commit [efea03b38fb8d3b81762237dc85e579cc5fc6e87](https://github.com/tensorflow/tensorflow/commit/efea03b38fb8d3b81762237dc85e579cc5fc6e87).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m3f9-w3p3-p669'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29535'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/efea03b38fb8d3b81762237dc85e579cc5fc6e87'}] | {'cwe_ids': ['CWE-131', 'CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T22:38:55Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-hf44-3mx6-vhhw | 2021-05-19T19:49:11Z | 2021-05-19T23:02:57Z | null | ['CVE-2021-29506'] | Navigate endpoint is vulnerable to regex injection that may lead to Denial of Service. | ### Impact
The regex injection that may lead to Denial of Service.
### Patches
Will be patched in 2.4 and 3.0
### Workarounds
Versions lower than 2.x are only affected if the navigation module is added
### References
See this pull request for the fix: https://github.com/graphhopper/graphhopper/pull/2304
If you have any questions or comments about this advisory please [send us an Email](https://www.graphhopper.com/contact-form/) or create a topic [here](https://discuss.graphhopper.com/). | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'Maven', 'name': 'com.graphhopper:graphhopper-nav'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.4'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/graphhopper/graphhopper/security/advisories/GHSA-hf44-3mx6-vhhw'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29506'}, {'type': 'WEB', 'url': 'https://github.com/graphhopper/graphhopper/pull/2304'}, {'type': 'WEB', 'url': 'https://github.com/graphhopper/graphhopper/commit/eb189be1fa7443ebf4ae881e737a18f818c95f41'}] | {'cwe_ids': ['CWE-400'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-19T19:49:11Z', 'nvd_published_at': '2021-05-13T19:15:00Z'} |
1.4.0 | GHSA-rgfv-v3jh-7ffp | 2021-05-05T18:56:42Z | 2021-05-06T18:11:52Z | null | ['CVE-2020-7716'] | Prototype Pollution in deeps | All versions of package deeps up to and including version 1.4.5 are vulnerable to Prototype Pollution via the set function. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'deeps'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.4.5'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7716'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-DEEPS-598667'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T18:56:42Z', 'nvd_published_at': '2020-09-01T10:15:00Z'} |
1.4.0 | GHSA-8c89-2vwr-chcq | 2021-05-18T22:35:23Z | 2021-05-21T14:22:35Z | null | ['CVE-2021-29537'] | Heap buffer overflow in `QuantizedResizeBilinear` | ### Impact
An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization:
```python
import tensorflow as tf
images = tf.constant([], shape=[0], dtype=tf.qint32)
size = tf.constant([], shape=[0], dtype=tf.int32)
min = tf.constant([], dtype=tf.float32)
max = tf.constant([], dtype=tf.float32)
tf.raw_ops.QuantizedResizeBilinear(images=images, size=size, min=min, max=max, align_corners=False, half_pixel_centers=False)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly:
```cc
const float in_min = context->input(2).flat<float>()(0);
const float in_max = context->input(3).flat<float>()(0);
```
However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow.
### Patches
We have patched the issue in GitHub commit [f6c40f0c6cbf00d46c7717a26419f2062f2f8694](https://github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f2062f2f8694).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcq'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29537'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f2062f2f8694'}] | {'cwe_ids': ['CWE-131', 'CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T22:35:23Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-5684-g483-2249 | 2021-10-05T17:07:09Z | 2021-05-24T16:59:47Z | null | [] | Signature Validation Bypass | ### Impact
Given a valid SAML Response, an attacker can potentially modify the document, bypassing signature validation in order to pass off the altered document as a signed one.
This enables a variety of attacks, including users accessing accounts other than the one to which they authenticated in the identity provider, or full authentication bypass if an external attacker can obtain an expired, signed SAML Response.
### Patches
A patch is available, users of gosaml2 should upgrade to v0.5.0 or higher.
### References
See the [underlying advisory on goxmldsig](https://github.com/russellhaering/goxmldsig/security/advisories/GHSA-q547-gmf8-8jr7) for more details. | [] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/russellhaering/gosaml2'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.5.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/russellhaering/gosaml2/security/advisories/GHSA-5684-g483-2249'}, {'type': 'PACKAGE', 'url': 'https://github.com/russellhaering/gosaml2'}] | {'cwe_ids': ['CWE-347'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T22:17:56Z', 'nvd_published_at': None} |
1.4.0 | GHSA-xm2v-8rrw-w9pm | 2021-05-18T23:17:46Z | 2021-05-21T14:21:51Z | null | ['CVE-2021-29525'] | Division by 0 in `Conv2DBackpropInput` | ### Impact
An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropInput`:
```python
import tensorflow as tf
input_tensor = tf.constant([52, 1, 1, 5], shape=[4], dtype=tf.int32)
filter_tensor = tf.constant([], shape=[0, 1, 5, 0], dtype=tf.float32)
out_backprop = tf.constant([], shape=[52, 1, 1, 0], dtype=tf.float32)
tf.raw_ops.Conv2DBackpropInput(input_sizes=input_tensor, filter=filter_tensor,
out_backprop=out_backprop, strides=[1, 1, 1, 1],
use_cudnn_on_gpu=True, padding='SAME',
explicit_paddings=[], data_format='NHWC',
dilations=[1, 1, 1, 1])
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/b40060c9f697b044e3107917c797ba052f4506ab/tensorflow/core/kernels/conv_grad_input_ops.h#L625-L655) does a division by a quantity that is controlled by the caller:
```cc
const size_t size_A = output_image_size * dims.out_depth;
const size_t size_B = filter_total_size * dims.out_depth;
const size_t size_C = output_image_size * filter_total_size;
const size_t work_unit_size = size_A + size_B + size_C;
...
const size_t shard_size =
use_parallel_contraction ? 1 :
(target_working_set_size + work_unit_size - 1) / work_unit_size;
```
### Patches
We have patched the issue in GitHub commit [2be2cdf3a123e231b16f766aa0e27d56b4606535](https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xm2v-8rrw-w9pm'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29525'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:17:46Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-pw54-mh39-w3hc | 2021-04-20T17:21:44Z | 2021-05-10T19:08:15Z | null | ['CVE-2020-7754'] | Regular expression denial of service in npm-user-validate | This affects the package npm-user-validate before 1.0.1. The regex that validates user emails took exponentially longer to process long input strings beginning with @ characters. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'npm-user-validate'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.0.1'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/npm/npm-user-validate/security/advisories/GHSA-xgh6-85xh-479p'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7754'}, {'type': 'WEB', 'url': 'https://github.com/npm/npm-user-validate/commit/c8a87dac1a4cc6988b5418f30411a8669bef204e'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1019353'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-NPMUSERVALIDATE-1019352'}] | {'cwe_ids': ['CWE-400'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-20T17:21:44Z', 'nvd_published_at': '2020-10-27T15:15:00Z'} |
1.4.0 | GHSA-2rvv-w9r2-rg7m | 2021-04-06T21:27:31Z | 2021-05-13T22:30:02Z | null | ['CVE-2021-24122'] | Information Disclosure in Apache Tomcat | When serving resources from a network location using the NTFS file system, Apache Tomcat versions 10.0.0-M1 to 10.0.0-M9, 9.0.0.M1 to 9.0.39, 8.5.0 to 8.5.59 and 7.0.0 to 7.0.106 were susceptible to JSP source code disclosure in some configurations. The root cause was the unexpected behaviour of the JRE API File.getCanonicalPath() which in turn was caused by the inconsistent behaviour of the Windows API (FindFirstFileW) in some circumstances. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.apache.tomcat.embed:tomcat-embed-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '10.0.0-M1'}, {'fixed': '10.0.0-M10'}]}], 'database_specific': {'last_known_affected_version_range': '<= 10.0.0-M9'}}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.tomcat.embed:tomcat-embed-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '9.0.0'}, {'fixed': '9.0.40'}]}]}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.tomcat.embed:tomcat-embed-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '8.5.0'}, {'fixed': '8.5.60'}]}]}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.tomcat.embed:tomcat-embed-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '7.0.0'}, {'fixed': '7.0.107'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-24122'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r1595889b083e05986f42b944dc43060d6b083022260b6ea64d2cec52%40%3Cannounce.tomcat.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r1595889b083e05986f42b944dc43060d6b083022260b6ea64d2cec52@%3Cannounce.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r1595889b083e05986f42b944dc43060d6b083022260b6ea64d2cec52@%3Cannounce.tomcat.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r7382e1e35b9bc7c8f320b90ad77e74c13172d08034e20c18000fe710@%3Cdev.tomee.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r776c64337495bf28b7d5597268114a888e3fad6045c40a0da0c66d4d@%3Cdev.tomee.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r7e0bb9ea415724550e2b325e143b23e269579e54d66fcd7754bd0c20@%3Cdev.tomcat.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rb32a73b7cb919d4f44a2596b6b951274c0004fc8b0e393d6829a45f9@%3Cusers.tomcat.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rca833c6d42b7b9ce1563488c0929f29fcc95947d86e5e740258c8937@%3Cdev.tomcat.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.debian.org/debian-lts-announce/2021/03/msg00018.html'}, {'type': 'WEB', 'url': 'https://security.netapp.com/advisory/ntap-20210212-0008/'}, {'type': 'WEB', 'url': 'https://www.oracle.com//security-alerts/cpujul2021.html'}, {'type': 'WEB', 'url': 'http://www.openwall.com/lists/oss-security/2021/01/14/1'}] | {'cwe_ids': ['CWE-200', 'CWE-706'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-06T21:27:31Z', 'nvd_published_at': '2021-01-14T15:15:00Z'} |
1.4.0 | GHSA-7r83-w6r8-fh6w | 2021-12-13T21:34:08Z | 2021-05-13T22:31:14Z | null | ['CVE-2021-21043'] | Reflected Cross-site Scripting (XSS) in ACS Commons | ACS Commons version 4.9.2 (and earlier) suffers from a Reflected Cross-site Scripting (XSS) vulnerability in version-compare and page-compare due to invalid JCR characters that are not handled correctly. An attacker could potentially exploit this vulnerability to inject malicious JavaScript content into vulnerable form fields and execute it within the context of the victim's browser. Exploitation of this issue requires user interaction in order to be successful. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'Maven', 'name': 'com.adobe.acs:acs-aem-commons'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '4.10.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/Adobe-Consulting-Services/acs-aem-commons/security/advisories/GHSA-f92j-qf46-p6vm'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-21043'}, {'type': 'WEB', 'url': 'https://github.com/Adobe-Consulting-Services/acs-aem-commons/commit/14d769c86606c4ce9a93c47a19f87e1ad72788d6'}, {'type': 'PACKAGE', 'url': 'https://github.com/Adobe-Consulting-Services/acs-aem-commons'}, {'type': 'WEB', 'url': 'https://helpx.adobe.com/security/products/indesign/apsb21-22.html'}] | {'cwe_ids': ['CWE-787', 'CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-05T21:38:56Z', 'nvd_published_at': '2021-02-02T23:15:00Z'} |
1.4.0 | GHSA-vf7p-j8x6-xvwp | 2021-04-23T18:49:03Z | 2021-05-10T15:17:58Z | null | ['CVE-2021-29943'] | Incorrect Authorization in Apache Solr | When using ConfigurableInternodeAuthHadoopPlugin for authentication, Apache Solr versions prior to 8.8.2 would forward/proxy distributed requests using server credentials instead of original client credentials. This would result in incorrect authorization resolution on the receiving hosts. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.apache.solr:solr-parent'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '8.8.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29943'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r91dd0ff556e0c9aab4c92852e0e540c59d4633718ce12881558cf44d%40%3Cusers.solr.apache.org%3E'}, {'type': 'WEB', 'url': 'https://security.netapp.com/advisory/ntap-20210604-0009/'}] | {'cwe_ids': ['CWE-863'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-04-14T15:14:38Z', 'nvd_published_at': '2021-04-13T07:15:00Z'} |
1.4.0 | GHSA-vf94-36g5-69v8 | 2021-05-17T23:06:31Z | 2021-05-21T14:27:49Z | null | ['CVE-2021-29595'] | Division by zero in TFLite's implementation of `DepthToSpace` | ### Impact
The implementation of the `DepthToSpace` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/depth_to_space.cc#L63-L69):
```cc
const int block_size = params->block_size;
...
const int input_channels = input->dims->data[3];
...
int output_channels = input_channels / block_size / block_size;
```
An attacker can craft a model such that `params->block_size` is 0.
### Patches
We have patched the issue in GitHub commit [106d8f4fb89335a2c52d7c895b7a7485465ca8d9](https://github.com/tensorflow/tensorflow/commit/106d8f4fb89335a2c52d7c895b7a7485465ca8d9).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by members of the Aivul Team from Qihoo 360. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vf94-36g5-69v8'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29595'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/106d8f4fb89335a2c52d7c895b7a7485465ca8d9'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T23:06:31Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-cfx7-2xpc-8w4h | 2021-05-18T15:44:05Z | 2021-05-21T14:27:01Z | null | ['CVE-2021-29593'] | Division by zero in TFLite's implementation of `BatchToSpaceNd` | ### Impact
The implementation of the `BatchToSpaceNd` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/b5ed552fe55895aee8bd8b191f744a069957d18d/tensorflow/lite/kernels/batch_to_space_nd.cc#L81-L82):
```cc
TF_LITE_ENSURE_EQ(context, output_batch_size % block_shape[dim], 0);
output_batch_size = output_batch_size / block_shape[dim];
```
An attacker can craft a model such that one dimension of the `block` input is 0. Hence, the corresponding value in `block_shape` is 0.
### Patches
We have patched the issue in GitHub commit [2c74674348a4708ced58ad6eb1b23354df8ee044](https://github.com/tensorflow/tensorflow/commit/2c74674348a4708ced58ad6eb1b23354df8ee044).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by members of the Aivul Team from Qihoo 360. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfx7-2xpc-8w4h'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29593'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/2c74674348a4708ced58ad6eb1b23354df8ee044'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T15:44:05Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-6f89-8j54-29xf | 2021-05-18T18:08:57Z | 2021-05-21T14:26:21Z | null | ['CVE-2021-29578'] | Heap buffer overflow in `FractionalAvgPoolGrad` | ### Impact
The implementation of `tf.raw_ops.FractionalAvgPoolGrad` is vulnerable to a heap buffer overflow:
```python
import tensorflow as tf
orig_input_tensor_shape = tf.constant([1, 3, 2, 3], shape=[4], dtype=tf.int64)
out_backprop = tf.constant([2], shape=[1, 1, 1, 1], dtype=tf.int64)
row_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)
col_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)
tf.raw_ops.FractionalAvgPoolGrad(
orig_input_tensor_shape=orig_input_tensor_shape, out_backprop=out_backprop,
row_pooling_sequence=row_pooling_sequence,
col_pooling_sequence=col_pooling_sequence, overlapping=False)
```
The [implementation](https://github.com/tensorflow/tensorflow/blob/dcba796a28364d6d7f003f6fe733d82726dda713/tensorflow/core/kernels/fractional_avg_pool_op.cc#L216) fails to validate that the pooling sequence arguments have enough elements as required by the `out_backprop` tensor shape.
### Patches
We have patched the issue in GitHub commit [12c727cee857fa19be717f336943d95fca4ffe4f](https://github.com/tensorflow/tensorflow/commit/12c727cee857fa19be717f336943d95fca4ffe4f).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6f89-8j54-29xf'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29578'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/12c727cee857fa19be717f336943d95fca4ffe4f'}] | {'cwe_ids': ['CWE-119', 'CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T18:08:57Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-23jv-v6qj-3fhh | 2023-09-29T15:52:57Z | 2021-05-18T18:19:21Z | null | ['CVE-2020-7219'] | Denial of Service (DoS) in HashiCorp Consul | HashiCorp Consul and Consul Enterprise up to 1.6.2 HTTP/RPC services allowed unbounded resource usage, and were susceptible to unauthenticated denial of service. Fixed in 1.6.3.
### Specific Go Packages Affected
github.com/hashicorp/consul/agent/consul | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/hashicorp/consul'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.6.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7219'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/consul/issues/7159'}, {'type': 'WEB', 'url': 'https://www.hashicorp.com/blog/category/consul/'}] | {'cwe_ids': ['CWE-400', 'CWE-770'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-13T15:07:53Z', 'nvd_published_at': '2020-01-31T13:15:00Z'} |
1.4.0 | GHSA-chwr-hf3w-c984 | 2021-04-21T17:36:43Z | 2021-05-10T18:44:38Z | null | ['CVE-2020-7755'] | Regular Expression Denial of Service in dat.gui | All versions of package dat.gui are vulnerable to Regular Expression Denial of Service (ReDoS) via specifically crafted rgb and rgba values. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'dat.gui'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.7.7'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7755'}, {'type': 'WEB', 'url': 'https://github.com/dataarts/dat.gui/issues/278'}, {'type': 'WEB', 'url': 'https://github.com/dataarts/dat.gui/pull/279'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-DATGUI-1016275'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/package/dat.gui'}] | {'cwe_ids': ['CWE-400'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-21T17:36:43Z', 'nvd_published_at': '2020-10-27T18:15:00Z'} |
1.4.0 | GHSA-qm28-7hqv-wg5j | 2021-10-05T16:28:05Z | 2021-05-07T16:47:32Z | null | ['CVE-2020-7735'] | OS Command Injection in ng-packagr | The package ng-packagr before 10.1.1 are vulnerable to Command Injection via the styleIncludePaths option. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'ng-packagr'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '10.1.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7735'}, {'type': 'WEB', 'url': 'https://github.com/ng-packagr/ng-packagr/commit/bda0fff3443301f252930a73fdc8fb9502de596d'}, {'type': 'PACKAGE', 'url': 'https://github.com/ng-packagr/ng-packagr'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-NGPACKAGR-1012427'}] | {'cwe_ids': ['CWE-78'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-27T22:00:56Z', 'nvd_published_at': '2020-09-25T12:15:00Z'} |
1.4.0 | GHSA-wgfq-7857-4jcc | 2021-04-28T16:57:11Z | 2021-05-07T16:47:19Z | null | ['CVE-2020-8237'] | Uncontrolled Resource Consumption in json-bigint | Prototype pollution in json-bigint npm package < 1.0.0 may lead to a denial-of-service (DoS) attack. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'json-bigint'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.0.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-8237'}, {'type': 'WEB', 'url': 'https://hackerone.com/reports/916430'}] | {'cwe_ids': ['CWE-400'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-28T16:57:11Z', 'nvd_published_at': '2020-09-18T21:15:00Z'} |
1.4.0 | GHSA-m6rw-m2v9-7hx4 | 2021-07-29T19:48:29Z | 2021-05-17T21:00:59Z | null | ['CVE-2020-15362'] | OS Command Injection in wifiscanner | wifiscanner.js in thingsSDK WiFi Scanner 1.0.1 allows Code Injection because it can be used with options to overwrite the default executable/binary path and its arguments. An attacker can abuse this functionality to execute arbitrary code. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'wifiscanner'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.0.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-15362'}, {'type': 'WEB', 'url': 'https://github.com/thingsSDK/wifiscanner/issues/1'}] | {'cwe_ids': ['CWE-78'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-11T21:36:14Z', 'nvd_published_at': '2020-06-29T17:15:00Z'} |
1.4.0 | GHSA-4mf2-f3wh-gvf2 | 2021-05-21T21:37:23Z | 2021-05-25T18:42:20Z | null | ['CVE-2021-21291'] | Subdomain checking of whitelisted domains could allow unintended redirects in oauth2-proxy | ### Impact
_What kind of vulnerability is it? Who is impacted?_
For users that use the whitelist domain feature, a domain that ended in a similar way to the intended domain could have been allowed as a redirect.
For example, if a whitelist domain was configured for `.example.com`, the intention is that subdomains of `example.com` are allowed.
Instead, `example.com` and `badexample.com` could also match.
### Patches
_Has the problem been patched? What versions should users upgrade to?_
This is fixed in version 7.0.0 onwards.
### Workarounds
_Is there a way for users to fix or remediate the vulnerability without upgrading?_
Disable the whitelist domain feature and run separate OAuth2 Proxy instances for each subdomain.
# Original Issue Posted by @semoac:
Whitelist Domain feature is not working as expected because is not matching a dot to ensure the redirect is a subdomain.
## Expected Behavior
If whitelist domain is set to `.example.com` , then `hack.alienexample.com` should be rejected as a valid redirect.
## Current Behavior
The code is removing the `dot` from `.example.com` and only checking if the redirect string end with `example.com`
## Possible Solution
Here
https://github.com/oauth2-proxy/oauth2-proxy/blob/c377466411f2aee180a732187edb638f2f7e57fb/oauthproxy.go#L661
Include the dot when checking the string:
```
strings.HasSuffix(redirectHostname, "." + domainHostname)
```
## Steps to Reproduce (for bugs)
```
package main
import (
"fmt"
"strings"
)
func validOptionalPort(port string) bool {
if port == "" || port == ":*" {
return true
}
if port[0] != ':' {
return false
}
for _, b := range port[1:] {
if b < '0' || b > '9' {
return false
}
}
return true
}
func splitHostPort(hostport string) (host, port string) {
host = hostport
colon := strings.LastIndexByte(host, ':')
if colon != -1 && validOptionalPort(host[colon:]) {
host, port = host[:colon], host[colon+1:]
}
if strings.HasPrefix(host, "[") && strings.HasSuffix(host, "]") {
host = host[1 : len(host)-1]
}
return
}
func main() {
domain := ".example.com"
domainHostname, _ := splitHostPort(strings.TrimLeft(domain, "."))
redirectHostname := "https://hack.alienexample.com"
if (strings.HasPrefix(domain, ".") && strings.HasSuffix(redirectHostname, domainHostname)) { fmt.Println("This should not have happen.")}
}
```
Users of `github.com/oauth2-proxy/oauth2-proxy` are advised to update to `github.com/oauth2-proxy/oauth2-proxy/v7` | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/oauth2-proxy/oauth2-proxy/v7'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '7.0.0'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/oauth2-proxy/oauth2-proxy'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '3.2.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/oauth2-proxy/oauth2-proxy/security/advisories/GHSA-4mf2-f3wh-gvf2'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-21291'}, {'type': 'WEB', 'url': 'https://github.com/oauth2-proxy/oauth2-proxy/commit/780ae4f3c99b579cb2ea9845121caebb6192f725'}, {'type': 'WEB', 'url': 'https://github.com/oauth2-proxy/oauth2-proxy/releases/tag/v7.0.0'}, {'type': 'WEB', 'url': 'https://pkg.go.dev/github.com/oauth2-proxy/oauth2-proxy/v7'}] | {'cwe_ids': ['CWE-601'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T21:37:23Z', 'nvd_published_at': None} |
1.4.0 | GHSA-r6pg-pjwc-j585 | 2021-05-18T19:34:50Z | 2021-05-21T14:25:11Z | null | ['CVE-2021-29565'] | Null pointer dereference in `SparseFillEmptyRows` | ### Impact
An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.SparseFillEmptyRows`:
```python
import tensorflow as tf
indices = tf.constant([], shape=[0, 0], dtype=tf.int64)
values = tf.constant([], shape=[0], dtype=tf.int64)
dense_shape = tf.constant([], shape=[0], dtype=tf.int64)
default_value = 0
tf.raw_ops.SparseFillEmptyRows(
indices=indices, values=values, dense_shape=dense_shape,
default_value=default_value)
```
This is because of missing [validation](https://github.com/tensorflow/tensorflow/blob/fdc82089d206e281c628a93771336bf87863d5e8/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L230-L231) that was covered under a `TODO`. If the `dense_shape` tensor is empty, then `dense_shape_t.vec<>()` would cause a null pointer dereference in the implementation of the op:
```cc
template <typename T, typename Tindex>
struct SparseFillEmptyRows<CPUDevice, T, Tindex> {
Status operator()(OpKernelContext* context, const Tensor& default_value_t,
const Tensor& indices_t, const Tensor& values_t,
const Tensor& dense_shape_t,
typename AsyncOpKernel::DoneCallback done) {
...
const auto dense_shape = dense_shape_t.vec<Tindex>();
...
}
}
```
### Patches
We have patched the issue in GitHub commit [faa76f39014ed3b5e2c158593b1335522e573c7f](https://github.com/tensorflow/tensorflow/commit/faa76f39014ed3b5e2c158593b1335522e573c7f).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r6pg-pjwc-j585'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29565'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/faa76f39014ed3b5e2c158593b1335522e573c7f'}] | {'cwe_ids': ['CWE-476'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T19:34:50Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-jjhw-5mxp-2g2q | 2021-05-28T22:27:50Z | 2021-05-25T18:47:01Z | null | ['CVE-2021-25933'] | Cross-site Scripting in OpenNMS Horizon | In OpenNMS Horizon, versions opennms-1-0-stable through opennms-27.1.1; OpenNMS Meridian, versions meridian-foundation-2015.1.0-1 through meridian-foundation-2019.1.18-1; meridian-foundation-2020.1.0-1 through meridian-foundation-2020.1.6-1 are vulnerable to Stored Cross-Site Scripting, since the function `validateFormInput()` performs improper validation checks on the input sent to the `groupName` and `groupComment` parameters. Due to this flaw, an authenticated attacker could inject arbitrary script and trick other admin users into downloading malicious files which can cause severe damage to the organization using opennms. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.opennms:opennms'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.0.0'}, {'fixed': '27.1.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-25933'}, {'type': 'WEB', 'url': 'https://github.com/OpenNMS/opennms/commit/8a97e6869d6e49da18b208c837438ace80049c01,'}, {'type': 'WEB', 'url': 'https://github.com/OpenNMS/opennms/commit/eb08b5ed4c5548f3e941a1f0d0363ae4439fa98c'}, {'type': 'WEB', 'url': 'https://github.com/OpenNMS/opennms/commit/f3ebfa3da5352b4d57f238b54c6db315ad99f10e'}, {'type': 'WEB', 'url': 'https://www.whitesourcesoftware.com/vulnerability-database/CVE-2021-25933'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T17:29:49Z', 'nvd_published_at': '2021-05-20T15:15:00Z'} |
1.4.0 | GHSA-whr9-vfh2-7hm6 | 2021-05-18T18:52:27Z | 2021-05-21T14:25:28Z | null | ['CVE-2021-29571'] | Memory corruption in `DrawBoundingBoxesV2` | ### Impact
The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs:
```python
import tensorflow as tf
images = tf.fill([10, 96, 0, 1], 0.)
boxes = tf.fill([10, 53, 0], 0.)
colors = tf.fill([0, 1], 0.)
tf.raw_ops.DrawBoundingBoxesV2(images=images, boxes=boxes, colors=colors)
```
The [implementation](https://github.com/tensorflow/tensorflow/blob/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of `boxes` input is 4, as required by [the op](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption:
```cc
const auto tboxes = boxes.tensor<T, 3>();
for (int64 bb = 0; bb < num_boxes; ++bb) {
...
const int64 min_box_row = static_cast<float>(tboxes(b, bb, 0)) * (height - 1);
const int64 max_box_row = static_cast<float>(tboxes(b, bb, 2)) * (height - 1);
const int64 min_box_col = static_cast<float>(tboxes(b, bb, 1)) * (width - 1);
const int64 max_box_col = static_cast<float>(tboxes(b, bb, 3)) * (width - 1);
...
}
```
If the last dimension in `boxes` is less than 4, accesses similar to `tboxes(b, bb, 3)` will access data outside of bounds. Further during code execution there are also writes to these indices.
### Patches
We have patched the issue in GitHub commit [79865b542f9ffdc9caeb255631f7c56f1d4b6517](https://github.com/tensorflow/tensorflow/commit/79865b542f9ffdc9caeb255631f7c56f1d4b6517).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-whr9-vfh2-7hm6'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29571'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/79865b542f9ffdc9caeb255631f7c56f1d4b6517'}] | {'cwe_ids': ['CWE-787'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T18:52:27Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-m34j-p8rj-wjxq | 2021-05-18T21:45:01Z | 2021-05-21T14:23:28Z | null | ['CVE-2021-29546'] | Division by 0 in `QuantizedBiasAdd` | ### Impact
An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`:
```python
import tensorflow as tf
input_tensor = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.quint8)
bias = tf.constant([], shape=[0], dtype=tf.quint8)
min_input = tf.constant(-10.0, dtype=tf.float32)
max_input = tf.constant(-10.0, dtype=tf.float32)
min_bias = tf.constant(-10.0, dtype=tf.float32)
max_bias = tf.constant(-10.0, dtype=tf.float32)
tf.raw_ops.QuantizedBiasAdd(input=input_tensor, bias=bias, min_input=min_input,
max_input=max_input, min_bias=min_bias,
max_bias=max_bias, out_type=tf.qint32)
```
This is because the [implementation of the Eigen kernel](https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero:
```cc
template <typename T1, typename T2, typename T3>
void QuantizedAddUsingEigen(const Eigen::ThreadPoolDevice& device,
const Tensor& input, float input_min,
float input_max, const Tensor& smaller_input,
float smaller_input_min, float smaller_input_max,
Tensor* output, float* output_min,
float* output_max) {
...
const int64 input_element_count = input.NumElements();
const int64 smaller_input_element_count = smaller_input.NumElements();
...
bcast[0] = input_element_count / smaller_input_element_count;
...
}
```
This integral division by 0 is undefined behavior.
### Patches
We have patched the issue in GitHub commit [67784700869470d65d5f2ef20aeb5e97c31673cb](https://github.com/tensorflow/tensorflow/commit/67784700869470d65d5f2ef20aeb5e97c31673cb).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m34j-p8rj-wjxq'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29546'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/67784700869470d65d5f2ef20aeb5e97c31673cb'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T21:45:01Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-ph87-fvjr-v33w | 2021-05-18T19:46:06Z | 2021-05-21T14:25:05Z | null | ['CVE-2021-29563'] | CHECK-fail in `tf.raw_ops.RFFT` | ### Impact
An attacker can cause a denial of service by exploiting a `CHECK`-failure coming from the implementation of `tf.raw_ops.RFFT`:
```python
import tensorflow as tf
inputs = tf.constant([1], shape=[1], dtype=tf.float32)
fft_length = tf.constant([0], shape=[1], dtype=tf.int32)
tf.raw_ops.RFFT(input=inputs, fft_length=fft_length)
```
The above example causes Eigen code to operate on an empty matrix. This triggers on an assertion and causes program termination.
### Patches
We have patched the issue in GitHub commit [31bd5026304677faa8a0b77602c6154171b9aec1](https://github.com/tensorflow/tensorflow/commit/31bd5026304677faa8a0b77602c6154171b9aec1).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-ph87-fvjr-v33w'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29563'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/31bd5026304677faa8a0b77602c6154171b9aec1'}] | {'cwe_ids': ['CWE-617'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T19:46:06Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-78cj-fxph-m83p | 2021-03-24T23:33:16Z | 2021-05-06T16:11:13Z | null | ['CVE-2021-27292'] | Regular Expression Denial of Service (ReDoS) in ua-parser-js | ua-parser-js >= 0.7.14, fixed in 0.7.24, uses a regular expression which is vulnerable to denial of service. If an attacker sends a malicious User-Agent header, ua-parser-js will get stuck processing it for an extended period of time. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'ua-parser-js'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0.7.14'}, {'fixed': '0.7.24'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-27292'}, {'type': 'WEB', 'url': 'https://github.com/faisalman/ua-parser-js/commit/809439e20e273ce0d25c1d04e111dcf6011eb566'}, {'type': 'WEB', 'url': 'https://github.com/pygments/pygments/commit/2e7e8c4a7b318f4032493773732754e418279a14'}, {'type': 'WEB', 'url': 'https://gist.github.com/b-c-ds/6941d80d6b4e694df4bc269493b7be76'}] | {'cwe_ids': ['CWE-400'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-03-22T20:23:57Z', 'nvd_published_at': '2021-03-17T13:15:00Z'} |
1.4.0 | GHSA-75qf-wgfj-v652 | 2023-09-14T19:21:08Z | 2021-05-18T18:28:03Z | null | ['CVE-2020-7669'] | github.com/u-root/u-root/pkg/tarutil Arbitrary File Write via Archive Extraction (Zip Slip) | This affects all versions up to and including version 7.0.0 of package github.com/u-root/u-root/pkg/tarutil. It is vulnerable to both leading and non-leading relative path traversal attacks in tar file extraction. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/u-root/u-root/pkg/tarutil'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '7.0.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7669'}, {'type': 'WEB', 'url': 'https://github.com/u-root/u-root/pull/1817'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-GOLANG-GITHUBCOMUROOTUROOTPKGTARUTIL-570428'}] | {'cwe_ids': ['CWE-22'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T19:02:17Z', 'nvd_published_at': None} |
1.4.0 | GHSA-72w9-fcj5-3fcg | 2022-05-04T01:54:57Z | 2021-05-07T15:53:10Z | null | ['CVE-2020-11989'] | Improper Authentication in Apache Shiro | Apache Shiro is a powerful and easy-to-use Java security framework that performs authentication, authorization, cryptography, and session management. Apache Shiro before 1.5.3, when using Apache Shiro with Spring dynamic controllers, a specially crafted request may cause an authentication bypass. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.apache.shiro:shiro-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.5.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-11989'}, {'type': 'PACKAGE', 'url': 'https://github.com/apache/shiro'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r2d2612c034ab21a3a19d2132d47d3e4aa70105008dd58af62b653040@%3Ccommits.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r408fe60bc8fdfd7c74135249d646d7abadb807ebf90f6fd2b014df21@%3Cdev.geode.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r72815a124a119c450b86189767d06848e0d380b1795c6c511d54a675%40%3Cuser.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r72815a124a119c450b86189767d06848e0d380b1795c6c511d54a675@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r72815a124a119c450b86189767d06848e0d380b1795c6c511d54a675@%3Cuser.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rab1972d6b177f7b5c3dde9cfb0a40f03bca75f0eaf1d8311e5762cb3@%3Ccommits.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rc8b39ea8b3ef71ddc1cd74ffc866546182683c8adecf19c263fe7ac0@%3Ccommits.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rcf3d8041e1232201fe5d74fc612a193e435784d64002409b448b58fe@%3Cdev.geode.apache.org%3E'}] | {'cwe_ids': ['CWE-287'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-06T20:07:20Z', 'nvd_published_at': '2020-06-22T19:15:00Z'} |
1.4.0 | GHSA-p45v-v4pw-77jr | 2021-05-18T21:30:45Z | 2021-05-21T14:23:34Z | null | ['CVE-2021-29548'] | Division by 0 in `QuantizedBatchNormWithGlobalNormalization` | ### Impact
An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`:
```python
import tensorflow as tf
t = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.quint8)
t_min = tf.constant(-10.0, dtype=tf.float32)
t_max = tf.constant(-10.0, dtype=tf.float32)
m = tf.constant([], shape=[0], dtype=tf.quint8)
m_min = tf.constant(-10.0, dtype=tf.float32)
m_max = tf.constant(-10.0, dtype=tf.float32)
v = tf.constant([], shape=[0], dtype=tf.quint8)
v_min = tf.constant(-10.0, dtype=tf.float32)
v_max = tf.constant(-10.0, dtype=tf.float32)
beta = tf.constant([], shape=[0], dtype=tf.quint8)
beta_min = tf.constant(-10.0, dtype=tf.float32)
beta_max = tf.constant(-10.0, dtype=tf.float32)
gamma = tf.constant([], shape=[0], dtype=tf.quint8)
gamma_min = tf.constant(-10.0, dtype=tf.float32)
gamma_max = tf.constant(-10.0, dtype=tf.float32)
tf.raw_ops.QuantizedBatchNormWithGlobalNormalization(
t=t, t_min=t_min, t_max=t_max, m=m, m_min=m_min, m_max=m_max,
v=v, v_min=v_min, v_max=v_max, beta=beta, beta_min=beta_min,
beta_max=beta_max, gamma=gamma, gamma_min=gamma_min,
gamma_max=gamma_max, out_type=tf.qint32,
variance_epsilon=0.1, scale_after_normalization=True)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the [op's contract](https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization).
### Patches
We have patched the issue in GitHub commit [d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b](https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29548'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T21:30:45Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-jhj6-5mh6-4pvf | 2021-10-06T21:44:05Z | 2021-05-24T17:00:46Z | null | ['CVE-2020-26213'] | Denial-of-Service within Docker container | ### Impact
If you run teler inside a Docker container and encounter `errors.Exit` function, it will cause denial-of-service (`SIGSEGV`) because it doesn't get process ID and process group ID of teler properly to kills.
### Patches
Upgrade to the >= 0.0.1 version.
### Workarounds
N/A
### References
- https://github.com/kitabisa/teler/commit/ec6082049dba9e44a21f35fb7b123d42ce1a1a7e
### For more information
If you have any questions or comments about this advisory:
* Open an issue in [Issues Section](https://github.com/kitabisa/teler/issues)
* Email us at [infosec@kitabisa.com](mailto:infosec@kitabisa.com)
| [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'Go', 'name': 'ktbs.dev/teler/pkg/errors'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.0.1'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/kitabisa/teler/security/advisories/GHSA-jhj6-5mh6-4pvf'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-26213'}, {'type': 'WEB', 'url': 'https://github.com/kitabisa/teler/commit/ec6082049dba9e44a21f35fb7b123d42ce1a1a7e'}, {'type': 'PACKAGE', 'url': 'https://github.com/kitabisa/teler'}] | {'cwe_ids': ['CWE-476'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T22:09:36Z', 'nvd_published_at': '2020-11-06T17:15:00Z'} |
1.4.0 | GHSA-wmwp-pggc-h4mj | 2023-02-07T21:20:12Z | 2021-05-18T15:30:30Z | null | ['CVE-2019-19619'] | Cross-site Scripting in Documize | domain/section/markdown/markdown.go in Documize before 3.5.1 mishandles untrusted Markdown content. This was addressed by adding the bluemonday HTML sanitizer to defend against XSS. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/documize/community'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '3.5.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-19619'}, {'type': 'WEB', 'url': 'https://github.com/documize/community/commit/a4384210d4d0d6b18e6fdb7e155de96d4a1cf9f3'}, {'type': 'PACKAGE', 'url': 'https://github.com/documize/community'}, {'type': 'WEB', 'url': 'https://github.com/documize/community/compare/v3.5.0...v3.5.1'}, {'type': 'WEB', 'url': 'https://github.com/documize/community/releases/tag/v3.5.1'}, {'type': 'WEB', 'url': 'https://pkg.go.dev/vuln/GO-2021-0086'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:29:00Z', 'nvd_published_at': None} |
1.4.0 | GHSA-h3p9-wrgx-82cm | 2023-09-29T15:41:15Z | 2021-05-18T18:18:50Z | null | ['CVE-2019-19316'] | Use of a Broken or Risky Cryptographic Algorithm in Terraform | When using the Azure backend with a shared access signature (SAS), Terraform versions prior to 0.12.17 may transmit the token and state snapshot using cleartext HTTP.
### Specific Go Packages Affected
github.com/hashicorp/terraform/backend/remote-state/azure | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/hashicorp/terraform'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.12.17'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/hashicorp/terraform/security/advisories/GHSA-4rvg-555h-r626'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-19316'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/terraform/issues/23493'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/terraform/commit/6db3cf8e5b4cfb2a3cd1d99a813b50b2d5d363bb'}] | {'cwe_ids': ['CWE-20', 'CWE-327'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-13T15:15:38Z', 'nvd_published_at': '2019-12-02T21:15:00Z'} |
1.4.0 | GHSA-j756-f273-xhp4 | 2023-08-30T18:08:21Z | 2021-05-21T16:22:20Z | null | [] | github.com/nats-io/nats-server/ Import token permissions checking not enforced | (This advisory is canonically <https://advisories.nats.io/CVE/CVE-2021-3127.txt>)
## Problem Description
The NATS server provides for Subjects which are namespaced by Account; all Subjects are supposed to be private to an account, with an Export/Import system used to grant cross-account access to some Subjects. Some Exports are public, such that anyone can import the relevant subjects, and some Exports are private, such that the Import requires a token JWT to prove permission.
The JWT library's validation of the bindings in the Import Token incorrectly warned on mismatches, instead of outright rejecting the token.
As a result, any account can take an Import token used by any other account and re-use it for themselves because the binding to the importing account is not rejected, and use it to import *any* Subject from the Exporting account, not just the Subject referenced in the Import Token.
The NATS account-server system treats account JWTs as semi-public information, such that an attacker can easily enumerate all account JWTs and retrieve all Import Tokens from those account JWTs.
The CVE identifier should cover the JWT library repair and the nats-server containing the fixed JWT library, and any other application depending upon the fixed JWT library.
## Affected versions
#### JWT library
* all versions prior to 2.0.1
* fixed after nats-io/jwt#149 landed (2021-03-14)
#### NATS Server
* Version 2 prior to 2.2.0
+ 2.0.0 through and including 2.1.9 are vulnerable
* fixed with nats-io/nats-server@423b79440c (2021-03-14)
## Impact
In deployments with untrusted accounts able to update the Account Server with imports, a malicious account can access any Subject from an account which provides Exported Subjects.
Abuse of this facility requires the malicious actor to upload their tampered Account JWT to the Account Server, providing the service operator with a data-store which can be scanned for signs of abuse.
## Workaround
Deny access to clients to update their account JWT in the account server.
## Solution
Upgrade the JWT dependency in any application using it.
Upgrade the NATS server if using NATS Accounts (with private Exports; Account owners can create those at any time though).
Audit all accounts JWTs to scan for exploit attempts; a Python script to audit the accounts can be found at <https://gist.github.com/philpennock/09d49524ad98043ff11d8a40c2bb0d5a>. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/nats-io/nats-server/v2'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.2.0'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/nats-io/jwt'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.2.3-0.20210314221642-a826c77dc9d2'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/nats-io/jwt/v2'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.0.1'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/nats-io/nats-server/security/advisories/GHSA-j756-f273-xhp4'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-3127'}, {'type': 'WEB', 'url': 'https://github.com/nats-io/jwt/pull/149'}, {'type': 'WEB', 'url': 'https://advisories.nats.io/CVE/CVE-2021-3127.txt'}] | {'cwe_ids': ['CWE-755', 'CWE-863'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-20T21:01:49Z', 'nvd_published_at': None} |
1.4.0 | GHSA-2cf2-2383-h4jv | 2021-07-28T18:46:07Z | 2021-05-07T16:16:43Z | null | ['CVE-2020-7600'] | Improperly Controlled Modification of Dynamically-Determined Object Attributes in querymen | querymen prior to 2.1.4 allows modification of object properties. The parameters of exported function handler(type, name, fn) can be controlled by users without any sanitization. This could be abused for Prototype Pollution attacks. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'querymen'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7600'}, {'type': 'WEB', 'url': 'https://github.com/diegohaz/querymen/commit/1987fefcb3b7508253a29502a008d5063a873cef'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-QUERYMEN-559867'}] | {'cwe_ids': ['CWE-1321', 'CWE-915'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-03T19:11:22Z', 'nvd_published_at': '2020-03-12T23:15:00Z'} |
1.4.0 | GHSA-j4rw-x3vg-c8r7 | 2021-05-05T18:40:32Z | 2021-05-06T18:12:37Z | null | ['CVE-2020-7721'] | Prototype Pollution in node-oojs | All versions of package node-oojs up to and including version 1.4.0 are vulnerable to Prototype Pollution via the setPath function. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'node-oojs'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.4.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7721'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-NODEOOJS-598678'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T18:40:32Z', 'nvd_published_at': '2020-09-01T10:15:00Z'} |
1.4.0 | GHSA-74xm-qj29-cq8p | 2023-08-29T23:21:14Z | 2021-05-25T18:42:42Z | null | ['CVE-2021-28681'] | In github.com/pion/webrtc, failed DTLS certificate verification doesn't stop data channel communication | ### Impact
Data channel communication was incorrectly allowed with users who have failed DTLS certificate verification.
This attack requires
* Attacker knows the ICE password.
* Only take place during PeerConnection handshake.
This attack can be detected by monitoring `PeerConnectionState` in all versions of Pion WebRTC.
### Patches
Users should upgrade to v3.0.15.
The exact patch is https://github.com/pion/webrtc/commit/545613dcdeb5dedb01cce94175f40bcbe045df2e
### Workarounds
Users should listen for when `PeerConnectionState` changes to `PeerConnectionStateFailed`. When it enters this state users should not continue using the PeerConnection.
### For more information
If you have any questions or comments about this advisory:
* Open an issue in https://github.com/pion/webrtc
* Email us at [team@pion.ly](mailto:team@pion.ly)
Thank you to https://github.com/Gaukas for discovering this. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/pion/webrtc/v3'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '3.0.15'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/pion/webrtc/security/advisories/GHSA-74xm-qj29-cq8p'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-28681'}, {'type': 'WEB', 'url': 'https://github.com/pion/webrtc/issues/1708'}, {'type': 'WEB', 'url': 'https://github.com/pion/webrtc/pull/1709'}, {'type': 'WEB', 'url': 'https://github.com/pion/webrtc/commit/545613dcdeb5dedb01cce94175f40bcbe045df2e'}, {'type': 'PACKAGE', 'url': 'https://github.com/pion/webrtc'}, {'type': 'WEB', 'url': 'https://pkg.go.dev/vuln/GO-2021-0104'}] | {'cwe_ids': ['CWE-863'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T21:29:41Z', 'nvd_published_at': None} |
1.4.0 | GHSA-gmq2-39ff-f5qg | 2021-05-21T14:40:36Z | 2021-05-21T16:25:48Z | null | [] | A failed upgrade may lead to hung goroutines | ### Impact
Processes using tableflip may encounter hung goroutines in the parent process, after a failed upgrade.
The Go runtime has annoying behaviour around setting and clearing
O_NONBLOCK: exec.Cmd.Start() ends up calling os.File.Fd() for any
file in exec.Cmd.ExtraFiles. os.File.Fd() disables both the use
of the runtime poller for the file and clears O_NONBLOCK from
the underlying open file descriptor.
This can lead to goroutines hanging in a parent process, after at least
one failed upgrade. The bug manifests in goroutines which rely on
either a deadline or interruption via Close() to be unblocked being stuck
in read or accept like syscalls. As far as I can tell we've not experienced
this problem in production, so it's most likely quite rare.
### Patches
The problem has been fixed in v1.2.2.
### Workarounds
None.
### References
* https://github.com/cloudflare/tableflip/commit/cae714b289e199db5da5f08af861ea65be6232c0 | [] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/cloudflare/tableflip'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.2.2'}]}], 'database_specific': {'last_known_affected_version_range': '< 1.2.1'}}] | [{'type': 'WEB', 'url': 'https://github.com/cloudflare/tableflip/security/advisories/GHSA-gmq2-39ff-f5qg'}, {'type': 'WEB', 'url': 'https://github.com/cloudflare/tableflip/commit/cae714b289e199db5da5f08af861ea65be6232c0'}] | {'cwe_ids': [], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T14:40:36Z', 'nvd_published_at': None} |
1.4.0 | GHSA-qw5h-7f53-xrp6 | 2021-05-17T21:22:43Z | 2021-05-21T14:28:45Z | null | ['CVE-2021-29615'] | Stack overflow in `ParseAttrValue` with nested tensors | ### Impact
The implementation of [`ParseAttrValue`](https://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/framework/attr_value_util.cc#L397-L453) can be tricked into stack overflow due to recursion by giving in a specially crafted input.
### Patches
We have patched the issue in GitHub commit [e07e1c3d26492c06f078c7e5bf2d138043e199c1](https://github.com/tensorflow/tensorflow/commit/e07e1c3d26492c06f078c7e5bf2d138043e199c1).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qw5h-7f53-xrp6'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29615'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/e07e1c3d26492c06f078c7e5bf2d138043e199c1'}] | {'cwe_ids': ['CWE-674'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:22:43Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-xqfj-cr6q-pc8w | 2021-05-17T21:12:35Z | 2021-05-21T14:28:58Z | null | ['CVE-2021-29618'] | Crash in `tf.transpose` with complex inputs | ### Impact
Passing a complex argument to `tf.transpose` at the same time as passing `conjugate=True` argument results in a crash:
```python
import tensorflow as tf
tf.transpose(conjugate=True, a=complex(1))
```
### Patches
We have received a patch for the issue in GitHub commit [1dc6a7ce6e0b3e27a7ae650bfc05b195ca793f88](https://github.com/tensorflow/tensorflow/commit/1dc6a7ce6e0b3e27a7ae650bfc05b195ca793f88).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported in [#42105](https://github.com/tensorflow/issues/42105) and fixed in [#46973](https://github.com/tensorflow/issues/46973). | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xqfj-cr6q-pc8w'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29618'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/1dc6a7ce6e0b3e27a7ae650bfc05b195ca793f88'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/issues/42105'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/issues/46973'}] | {'cwe_ids': ['CWE-755'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:12:35Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-3vcg-8p79-jpcv | 2023-08-30T22:56:50Z | 2021-05-06T18:52:01Z | null | ['CVE-2020-10799'] | SVGlib Vulnerable to XXE Attacks | The svglib package through 0.9.3 for Python allows XXE attacks via an `svg2rlg` call. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'svglib'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.9.4'}]}], 'database_specific': {'last_known_affected_version_range': '<= 0.9.3'}}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-10799'}, {'type': 'WEB', 'url': 'https://github.com/deeplook/svglib/issues/229'}, {'type': 'WEB', 'url': 'https://github.com/deeplook/svglib/commit/35686a130ed260c71a382a8f83d41fd31a46704d'}] | {'cwe_ids': ['CWE-611'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T22:26:32Z', 'nvd_published_at': '2020-03-20T23:15:00Z'} |
1.4.0 | GHSA-662x-fhqg-9p8v | 2021-05-03T19:19:25Z | 2021-05-07T16:18:19Z | null | ['CVE-2020-7733'] | Regular Expression Denial of Service in ua-parser-js | The package ua-parser-js before 0.7.22 are vulnerable to Regular Expression Denial of Service (ReDoS) via the regex for Redmi Phones and Mi Pad Tablets UA. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'ua-parser-js'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.7.22'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7733'}, {'type': 'WEB', 'url': 'https://github.com/faisalman/ua-parser-js/commit/233d3bae22a795153a7e6638887ce159c63e557d'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSBOWERGITHUBFAISALMAN-674666'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-674665'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-UAPARSERJS-610226'}, {'type': 'WEB', 'url': 'https://www.oracle.com//security-alerts/cpujul2021.html'}] | {'cwe_ids': ['CWE-400'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-03T19:19:25Z', 'nvd_published_at': '2020-09-16T14:15:00Z'} |
1.4.0 | GHSA-8v9x-9xqg-r8mr | 2021-04-19T22:31:31Z | 2021-05-10T19:17:15Z | null | ['CVE-2020-8268'] | Prototype pollution in json8-merge-patch | Prototype pollution vulnerability in json8-merge-patch npm package < 1.0.3 may allow attackers to inject or modify methods and properties of the global object constructor. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'json8-merge-patch'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.0.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-8268'}, {'type': 'WEB', 'url': 'https://github.com/sonnyp/JSON8/issues/113'}, {'type': 'WEB', 'url': 'https://github.com/sonnyp/JSON8/commit/2e890261b66cbc54ae01d0c79c71b0fd18379e7e#diff-faa7bef039022bc7ca1c613331b2373950ddd3d65ebf25d1699fbdf89773a387'}, {'type': 'WEB', 'url': 'https://hackerone.com/reports/980649'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/package/json8-merge-patch'}] | {'cwe_ids': ['CWE-1321', 'CWE-20', 'CWE-471'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-19T22:31:31Z', 'nvd_published_at': '2020-11-09T15:15:00Z'} |
1.4.0 | GHSA-c94v-8fff-73ph | 2021-05-07T17:57:37Z | 2021-05-10T15:36:55Z | null | ['CVE-2021-28162'] | Command Injection in @theia/messages | In Eclipse Theia versions up to and including 0.16.0, in the notification messages there is no HTML escaping, so Javascript code can run. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': '@theia/messages'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.0.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-28162'}, {'type': 'WEB', 'url': 'https://github.com/eclipse-theia/theia/issues/7283'}, {'type': 'WEB', 'url': 'https://github.com/eclipse-theia/theia/pull/7289'}, {'type': 'WEB', 'url': 'https://github.com/eclipse-theia/theia/blob/master/CHANGELOG.md#v100---26032020'}] | {'cwe_ids': ['CWE-829'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-07T17:57:37Z', 'nvd_published_at': '2021-03-12T22:15:00Z'} |
1.4.0 | GHSA-h3rx-g5c9-8q4x | 2022-12-03T03:40:15Z | 2021-05-10T18:37:26Z | null | ['CVE-2020-7736'] | Prototype Pollution in bmoor | The package bmoor before 0.8.12 are vulnerable to Prototype Pollution via the set function. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L'}] | [{'package': {'ecosystem': 'npm', 'name': 'bmoor'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.8.12'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7736'}, {'type': 'WEB', 'url': 'https://github.com/b-heilman/bmoor/commit/7d4a086a1dc3ef11ed0b323824d02348734b7da5'}, {'type': 'PACKAGE', 'url': 'https://github.com/b-heilman/bmoor'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-BMOOR-598664'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/package/bmoor'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-22T22:35:49Z', 'nvd_published_at': '2020-10-02T10:15:00Z'} |
1.4.0 | GHSA-hr84-fqvp-48mm | 2021-05-18T23:23:47Z | 2021-05-21T14:21:16Z | null | ['CVE-2021-29521'] | Segfault in SparseCountSparseOutput | ### Impact
Specifying a negative dense shape in `tf.raw_ops.SparseCountSparseOutput` results in a segmentation fault being thrown out from the standard library as `std::vector` invariants are broken.
```python
import tensorflow as tf
indices = tf.constant([], shape=[0, 0], dtype=tf.int64)
values = tf.constant([], shape=[0, 0], dtype=tf.int64)
dense_shape = tf.constant([-100, -100, -100], shape=[3], dtype=tf.int64)
weights = tf.constant([], shape=[0, 0], dtype=tf.int64)
tf.raw_ops.SparseCountSparseOutput(indices=indices, values=values, dense_shape=dense_shape, weights=weights, minlength=79, maxlength=96, binary_output=False)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L199-L213) assumes the first element of the dense shape is always positive and uses it to initialize a `BatchedMap<T>` (i.e., [`std::vector<absl::flat_hash_map<int64,T>>`](https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L27)) data structure.
```cc
bool is_1d = shape.NumElements() == 1;
int num_batches = is_1d ? 1 : shape.flat<int64>()(0);
...
auto per_batch_counts = BatchedMap<W>(num_batches);
```
If the `shape` tensor has more than one element, `num_batches` is the first value in `shape`.
Ensuring that the `dense_shape` argument is a valid tensor shape (that is, all elements are non-negative) solves this issue.
### Patches
We have patched the issue in GitHub commit [c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5](https://github.com/tensorflow/tensorflow/commit/c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hr84-fqvp-48mm'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29521'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5'}] | {'cwe_ids': ['CWE-131'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:23:47Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-cj2h-ww36-v932 | 2021-05-13T14:53:36Z | 2021-05-18T18:20:26Z | null | ['CVE-2020-7956'] | Improper Certificate Validation in HashiCorp Nomad | HashiCorp Nomad and Nomad Enterprise up to 0.10.2 incorrectly validated role/region associated with TLS certificates used for mTLS RPC, and were susceptible to privilege escalation. Fixed in 0.10.3. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/hashicorp/nomad'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.10.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7956'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/nomad/issues/7003'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/nomad/pull/7023'}, {'type': 'WEB', 'url': 'https://www.hashicorp.com/blog/category/nomad/'}] | {'cwe_ids': ['CWE-295'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-13T14:53:36Z', 'nvd_published_at': None} |
1.4.0 | GHSA-j665-rvj7-2jv9 | 2021-07-29T18:11:51Z | 2021-05-17T21:00:17Z | null | ['CVE-2020-7672'] | Code Injection in mosc | mosc through 1.0.0 is vulnerable to Arbitrary Code Execution. User input provided to `properties` argument is executed by the `eval` function, resulting in code execution. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L'}] | [{'package': {'ecosystem': 'npm', 'name': 'mosc'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.0.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7672'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-MOSC-571492'}] | {'cwe_ids': ['CWE-94'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-13T19:19:45Z', 'nvd_published_at': '2020-06-10T16:15:00Z'} |
1.4.0 | GHSA-x8h6-xgqx-jqgp | 2021-05-18T17:53:08Z | 2021-05-21T14:26:26Z | null | ['CVE-2021-29580'] | Undefined behavior and `CHECK`-fail in `FractionalMaxPoolGrad` | ### Impact
The implementation of `tf.raw_ops.FractionalMaxPoolGrad` triggers an undefined behavior if one of the input tensors is empty:
```python
import tensorflow as tf
orig_input = tf.constant([2, 3], shape=[1, 1, 1, 2], dtype=tf.int64)
orig_output = tf.constant([], dtype=tf.int64)
out_backprop = tf.zeros([2, 3, 6, 6], dtype=tf.int64)
row_pooling_sequence = tf.constant([0], shape=[1], dtype=tf.int64)
col_pooling_sequence = tf.constant([0], shape=[1], dtype=tf.int64)
tf.raw_ops.FractionalMaxPoolGrad(
orig_input=orig_input, orig_output=orig_output, out_backprop=out_backprop,
row_pooling_sequence=row_pooling_sequence,
col_pooling_sequence=col_pooling_sequence, overlapping=False)
```
The code is also vulnerable to a denial of service attack as a `CHECK` condition becomes false and aborts the process
```python
import tensorflow as tf
orig_input = tf.constant([1], shape=[1], dtype=tf.int64)
orig_output = tf.constant([1], shape=[1], dtype=tf.int64)
out_backprop = tf.constant([1, 1], shape=[2, 1, 1, 1], dtype=tf.int64)
row_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)
col_pooling_sequence = tf.constant([1], shape=[1], dtype=tf.int64)
tf.raw_ops.FractionalMaxPoolGrad(
orig_input=orig_input, orig_output=orig_output, out_backprop=out_backprop,
row_pooling_sequence=row_pooling_sequence,
col_pooling_sequence=col_pooling_sequence, overlapping=False)
```
The [implementation](https://github.com/tensorflow/tensorflow/blob/169054888d50ce488dfde9ca55d91d6325efbd5b/tensorflow/core/kernels/fractional_max_pool_op.cc#L215) fails to validate that input and output tensors are not empty and are of the same rank. Each of these unchecked assumptions is responsible for the above issues.
### Patches
We have patched the issue in GitHub commit [32fdcbff9d06d010d908fcc4bd4b36eb3ce15925](https://github.com/tensorflow/tensorflow/commit/32fdcbff9d06d010d908fcc4bd4b36eb3ce15925).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x8h6-xgqx-jqgp'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29580'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/32fdcbff9d06d010d908fcc4bd4b36eb3ce15925'}] | {'cwe_ids': ['CWE-908'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T17:53:08Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-cg42-4wrc-gp47 | 2021-07-29T18:12:49Z | 2021-05-17T21:00:37Z | null | ['CVE-2020-7673'] | Code Injection in node-extend | node-extend through 0.2.0 is vulnerable to Arbitrary Code Execution. User input provided to the argument `A` of `extend` function`(A,B,as,isAargs)` located within `lib/extend.js` is executed by the `eval` function, resulting in code execution. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'node-extend'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.2.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7673'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-NODEEXTEND-571491'}] | {'cwe_ids': ['CWE-94'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-13T17:00:57Z', 'nvd_published_at': '2020-06-10T16:15:00Z'} |
1.4.0 | GHSA-r4pj-74mg-8868 | 2021-05-18T23:19:06Z | 2021-05-21T14:21:47Z | null | ['CVE-2021-29524'] | Division by 0 in `Conv2DBackpropFilter` | ### Impact
An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropFilter`:
```python
import tensorflow as tf
input_tensor = tf.constant([], shape=[0, 0, 1, 0], dtype=tf.float32)
filter_sizes = tf.constant([1, 1, 1, 1], shape=[4], dtype=tf.int32)
out_backprop = tf.constant([], shape=[0, 0, 1, 1], dtype=tf.float32)
tf.raw_ops.Conv2DBackpropFilter(input=input_tensor, filter_sizes=filter_sizes,
out_backprop=out_backprop,
strides=[1, 66, 18, 1], use_cudnn_on_gpu=True,
padding='SAME', explicit_paddings=[],
data_format='NHWC', dilations=[1, 1, 1, 1])
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/496c2630e51c1a478f095b084329acedb253db6b/tensorflow/core/kernels/conv_grad_shape_utils.cc#L130) does a modulus operation where the divisor is controlled by the caller:
```cc
if (dims->in_depth % filter_shape.dim_size(num_dims - 2)) { ... }
```
### Patches
We have patched the issue in GitHub commit [fca9874a9b42a2134f907d2fb46ab774a831404a](https://github.com/tensorflow/tensorflow/commit/fca9874a9b42a2134f907d2fb46ab774a831404a).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r4pj-74mg-8868'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29524'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/fca9874a9b42a2134f907d2fb46ab774a831404a'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:19:06Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-vvg4-vgrv-xfr7 | 2021-05-17T21:46:09Z | 2021-05-21T14:28:39Z | null | ['CVE-2021-29613'] | Incomplete validation in `tf.raw_ops.CTCLoss` | ### Impact
Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap:
```python
import tensorflow as tf
inputs = tf.constant([], shape=[10, 16, 0], dtype=tf.float32)
labels_indices = tf.constant([], shape=[8, 0], dtype=tf.int64)
labels_values = tf.constant([-100] * 8, shape=[8], dtype=tf.int32)
sequence_length = tf.constant([-100] * 16, shape=[16], dtype=tf.int32)
tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,
labels_values=labels_values, sequence_length=sequence_length,
preprocess_collapse_repeated=True, ctc_merge_repeated=False,
ignore_longer_outputs_than_inputs=True)
```
An attacker can also trigger a heap buffer overflow:
```python
import tensorflow as tf
inputs = tf.constant([], shape=[7, 2, 0], dtype=tf.float32)
labels_indices = tf.constant([-100, -100], shape=[2, 1], dtype=tf.int64)
labels_values = tf.constant([-100, -100], shape=[2], dtype=tf.int32)
sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)
tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,
labels_values=labels_values, sequence_length=sequence_length,
preprocess_collapse_repeated=False, ctc_merge_repeated=False,
ignore_longer_outputs_than_inputs=False)
```
Finally, an attacker can trigger a null pointer dereference:
```python
import tensorflow as tf
inputs = tf.constant([], shape=[0, 2, 11], dtype=tf.float32)
labels_indices = tf.constant([], shape=[0, 2], dtype=tf.int64)
labels_values = tf.constant([], shape=[0], dtype=tf.int32)
sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)
tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,
labels_values=labels_values, sequence_length=sequence_length,
preprocess_collapse_repeated=False, ctc_merge_repeated=False,
ignore_longer_outputs_than_inputs=False)
```
### Patches
We have patched the issue in GitHub commit[14607c0707040d775e06b6817325640cb4b5864c](https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c) followed by GitHub commit [4504a081af71514bb1828048363e6540f797005b](https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29613'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b'}] | {'cwe_ids': ['CWE-125', 'CWE-665'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:46:09Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-jh2m-j8pp-55rc | 2021-05-05T18:26:34Z | 2021-05-06T18:12:47Z | null | ['CVE-2020-7727'] | Prototype Pollution in gedi | All versions of package gedi up to and including version 1.6.3 are vulnerable to Prototype Pollution via the set function. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'gedi'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.6.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7727'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-GEDI-598803'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T18:26:34Z', 'nvd_published_at': '2020-09-01T10:15:00Z'} |
1.4.0 | GHSA-vrr3-5r3v-7xfw | 2023-09-13T19:52:14Z | 2021-05-17T21:00:52Z | null | ['CVE-2020-7679'] | Improperly Controlled Modification of Dynamically-Determined Object Attributes in casperjs | ### Overview
casperjs is a navigation scripting & testing utility for PhantomJS and SlimerJS.
Affected versions of this package are vulnerable to Prototype Pollution via the mergeObjects utility function.
### PoC
```js
var payload = JSON.parse('{"__proto__": {"a": "pwned"}}');
mergeObjects({}, payload);
console.log({}.a); // prints "pwned"
``` | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L'}] | [{'package': {'ecosystem': 'npm', 'name': 'casperjs'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.1.4'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7679'}, {'type': 'PACKAGE', 'url': 'https://github.com/casperjs/casperjs'}, {'type': 'WEB', 'url': 'https://github.com/casperjs/casperjs/blob/master/modules/utils.js%23L680'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSBOWER-572804'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-CASPERJS-572803'}] | {'cwe_ids': ['CWE-1321', 'CWE-915'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-11T22:26:54Z', 'nvd_published_at': '2020-06-19T11:15:00Z'} |
1.4.0 | GHSA-h746-rm5q-8mgq | 2021-05-21T14:28:38Z | 2021-05-21T14:31:11Z | null | ['CVE-2021-27098'] | Legacy Node API Allows Impersonation in github.com/spiffe/spire/pkg/server/endpoints/node | #### Summary
In SPIRE 0.8.1 through 0.8.4 and before versions 0.9.4, 0.10.2, 0.11.3 and 0.12.1, specially crafted requests to the FetchX509SVID RPC of SPIRE Server’s Legacy Node API can result in the possible issuance of an X.509 certificate with a URI SAN for a SPIFFE ID that the agent is not authorized to distribute. Proper controls are in place to require that the caller presents a valid agent certificate that is already authorized to issue at least one SPIFFE ID, and the requested SPIFFE ID belongs to the same trust domain, prior to being able to trigger this vulnerability. This issue has been fixed in SPIRE versions 0.8.5, 0.9.4, 0.10.2, 0.11.3 and 0.12.1.
#### What are the changes introduced by the patched versions?
The changes introduced to address this issue are related to enforcing that the FetchX509SVID RPC of SPIRE Server’s Legacy Node API only issues X.509 certificates with SPIFFE IDs that the agent is authorized to distribute.
The patched version also includes a back-ported change that improves the handling of file descriptors related to workload attestation in SPIRE Agent.
There are no changes in the expected behavior of SPIRE.
#### Should I upgrade SPIRE?
All SPIRE users running affected versions are advised to upgrade to the corresponding patched version.
#### Workarounds
No workarounds have been identified for this vulnerability. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/spiffe/spire/pkg/server/endpoints/node'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0.8.1'}, {'fixed': '0.8.5'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/spiffe/spire/pkg/server/endpoints/node'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0.9.0'}, {'fixed': '0.9.4'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/spiffe/spire/pkg/server/endpoints/node'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0.10.0'}, {'fixed': '0.10.2'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/spiffe/spire/pkg/server/endpoints/node'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0.11.0'}, {'fixed': '0.11.3'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/spiffe/spire/pkg/server/endpoints/node'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0.12.0'}, {'fixed': '0.12.1'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/spiffe/spire/security/advisories/GHSA-h746-rm5q-8mgq'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-27098'}, {'type': 'WEB', 'url': 'https://github.com/spiffe/spire/commit/3c5115b57afc20a0a2c2b1b9dd60dd1fd9082e13'}, {'type': 'WEB', 'url': 'https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-27098'}] | {'cwe_ids': ['CWE-284', 'CWE-295'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T14:28:38Z', 'nvd_published_at': None} |
1.4.0 | GHSA-8gv3-57p6-g35r | 2021-05-18T20:23:08Z | 2021-05-21T14:24:57Z | null | ['CVE-2021-29560'] | Heap buffer overflow in `RaggedTensorToTensor` | ### Impact
An attacker can cause a heap buffer overflow in `tf.raw_ops.RaggedTensorToTensor`:
```python
import tensorflow as tf
shape = tf.constant([10, 10], shape=[2], dtype=tf.int64)
values = tf.constant(0, shape=[1], dtype=tf.int64)
default_value = tf.constant(0, dtype=tf.int64)
l = [849, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
row = tf.constant(l, shape=[5, 43], dtype=tf.int64)
rows = [row]
types = ['ROW_SPLITS']
tf.raw_ops.RaggedTensorToTensor(
shape=shape, values=values, default_value=default_value,
row_partition_tensors=rows, row_partition_types=types)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) uses the same index to access two arrays in parallel:
```cc
for (INDEX_TYPE i = 0; i < row_split_size - 1; ++i) {
INDEX_TYPE row_length = row_split(i + 1) - row_split(i);
INDEX_TYPE real_length = std::min(output_size, row_length);
INDEX_TYPE parent_output_index_current = parent_output_index[i];
...
}
```
Since the user controls the shape of the input arguments, an attacker could trigger a heap OOB access when `parent_output_index` is shorter than `row_split`.
### Patches
We have patched the issue in GitHub commit [a84358aa12f0b1518e606095ab9cfddbf597c121](https://github.com/tensorflow/tensorflow/commit/a84358aa12f0b1518e606095ab9cfddbf597c121).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Ying Wang and Yakun Zhang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8gv3-57p6-g35r'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29560'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/a84358aa12f0b1518e606095ab9cfddbf597c121'}] | {'cwe_ids': ['CWE-125', 'CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T20:23:08Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-wj6h-7chw-x4h2 | 2021-07-28T21:53:39Z | 2021-05-10T15:59:14Z | null | ['CVE-2020-7619'] | Command injection in get-git-data | get-git-data through 1.3.1 is vulnerable to Command Injection. It is possible to inject arbitrary commands as part of the arguments provided to get-git-data. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'get-git-data'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.3.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7619'}, {'type': 'WEB', 'url': 'https://github.com/chardos/get-git-data/blob/master/index.js#L7,'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-GETGITDATA-564222'}] | {'cwe_ids': ['CWE-78'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-10T14:54:40Z', 'nvd_published_at': '2020-04-02T21:15:00Z'} |
1.4.0 | GHSA-rgvq-pcvf-hx75 | 2021-05-17T22:11:44Z | 2021-05-21T14:28:27Z | null | ['CVE-2021-29608'] | Heap OOB and null pointer dereference in `RaggedTensorToTensor` | ### Impact
Due to lack of validation in `tf.raw_ops.RaggedTensorToTensor`, an attacker can exploit an undefined behavior if input arguments are empty:
```python
import tensorflow as tf
shape = tf.constant([-1, -1], shape=[2], dtype=tf.int64)
values = tf.constant([], shape=[0], dtype=tf.int64)
default_value = tf.constant(404, dtype=tf.int64)
row = tf.constant([269, 404, 0, 0, 0, 0, 0], shape=[7], dtype=tf.int64)
rows = [row]
types = ['ROW_SPLITS']
tf.raw_ops.RaggedTensorToTensor(
shape=shape, values=values, default_value=default_value,
row_partition_tensors=rows, row_partition_types=types)
```
The [implementation](https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones.
There are multiple `DCHECK` validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything.
### Patches
We have patched the issue in GitHub commit [b761c9b652af2107cfbc33efd19be0ce41daa33e](https://github.com/tensorflow/tensorflow/commit/b761c9b652af2107cfbc33efd19be0ce41daa33e) followed by GitHub commit [f94ef358bb3e91d517446454edff6535bcfe8e4a](https://github.com/tensorflow/tensorflow/commit/f94ef358bb3e91d517446454edff6535bcfe8e4a) and GitHub commit [c4d7afb6a5986b04505aca4466ae1951686c80f6](https://github.com/tensorflow/tensorflow/commit/c4d7afb6a5986b04505aca4466ae1951686c80f6).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:H'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rgvq-pcvf-hx75'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29608'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/b761c9b652af2107cfbc33efd19be0ce41daa33e'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/c4d7afb6a5986b04505aca4466ae1951686c80f6'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/f94ef358bb3e91d517446454edff6535bcfe8e4a'}] | {'cwe_ids': ['CWE-131'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T22:11:44Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-mmq6-q8r3-48fm | 2021-05-17T21:16:27Z | 2021-05-21T14:28:50Z | null | ['CVE-2021-29617'] | Crash in `tf.strings.substr` due to `CHECK`-fail | ### Impact
An attacker can cause a denial of service via `CHECK`-fail in `tf.strings.substr` with invalid arguments:
```python
import tensorflow as tf
tf.strings.substr(input='abc', len=1, pos=[1,-1])
```
```python
import tensorflow as tf
tf.strings.substr(input='abc', len=1, pos=[1,2])
```
### Patches
We have received a patch for the issue in GitHub commit [890f7164b70354c57d40eda52dcdd7658677c09f](https://github.com/tensorflow/tensorflow/commit/890f7164b70354c57d40eda52dcdd7658677c09f).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported in [#46900](https://github.com/tensorflow/issues/46900) and fixed in [#46974](https://github.com/tensorflow/issues/46974). | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ecosystem_specific': {'affected_functions': ['tensorflow.strings.substr']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mmq6-q8r3-48fm'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29617'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/890f7164b70354c57d40eda52dcdd7658677c09f'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/issues/46900'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/issues/46974'}] | {'cwe_ids': ['CWE-755'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:16:27Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-3f8r-4qwm-r7jf | 2021-10-13T17:25:40Z | 2021-05-18T15:39:16Z | null | ['CVE-2019-12405'] | Improper Authentication in Apache Traffic Control | Improper authentication is possible in Apache Traffic Control versions 3.0.0 and 3.0.1 if LDAP is enabled for login in the Traffic Ops API component. Given a username for a user that can be authenticated via LDAP, it is possible to improperly authenticate as that user without that user's correct password. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/apache/trafficcontrol'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '3.0.0'}, {'fixed': '3.0.2-RC1'}]}], 'database_specific': {'last_known_affected_version_range': '<= 3.0.1'}}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-12405'}, {'type': 'WEB', 'url': 'https://github.com/apache/trafficcontrol/commit/f780aff77a52d52a37b4d1cc3e8e801c0b557356'}, {'type': 'PACKAGE', 'url': 'https://github.com/apache/trafficcontrol'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/e128e9d382f3b0d074e2b597ac58e1d92139394509d81ddbc9e3700e@%3Cusers.trafficcontrol.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r3c675031ac220b5eae64a9c84a03ee60045c6045738607dca4a96cb8@%3Ccommits.trafficcontrol.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rc8bfd7d4f71d61e9193efcd4699eccbab3c202ec1d75ed9d502f08bf@%3Ccommits.trafficcontrol.apache.org%3E'}, {'type': 'WEB', 'url': 'https://support.f5.com/csp/article/K84141859'}, {'type': 'WEB', 'url': 'https://support.f5.com/csp/article/K84141859?utm_source=f5support&utm_medium=RSS'}] | {'cwe_ids': ['CWE-287'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:00:28Z', 'nvd_published_at': '2019-09-09T17:15:00Z'} |
1.4.0 | GHSA-c66w-hq56-4q97 | 2021-05-21T14:09:14Z | 2021-05-21T14:32:37Z | null | [] | Network policy may be bypassed by some ICMP Echo Requests | ## Impact
Under certain conditions, ICMP Echo Request sent to a Cilium endpoint from an actor may bypass a network policy which _disallows_ access from the actor to the endpoint, but _allows_ from the endpoint to the actor. This does _NOT_ apply to UDP and TCP traffic.
The actor is either a pod or a cluster host or a remote host.
The following conditions must be met:
1. Network policies have been created which:
a) do not allow access from the actor to the endpoint;
b) allow access from the endpoint to the actor and does not specify neither protocol nor port.
2. The endpoint has sent ICMP Echo Request to the actor with the ICMP identifier X.
3. The actor sends ICMP Echo Request to the endpoint with the same ICMP identifier X.
4. The request from the actor (3.) is sent before the Cilium's conntrack GC has removed the previously created conntrack entry (2.).
## Detailed description
See https://github.com/cilium/cilium/commit/dfb008a9099c4da1e0fd964c899c43ee13280b0e (v1.9.x), https://github.com/cilium/cilium/commit/ff6ebae6efca1bd991302b464dea428512823e79 (v1.8.x), https://github.com/cilium/cilium/commit/472bbeff75161979c317ab21d563f826291b5f37 (v1.7.x).
## Example
```
$ kubectl run server --image=quay.io/cilium/net-test:v1.0.0 --restart=Never -- sleep 3600
$ kubectl run client --image=quay.io/cilium/net-test:v1.0.0 --restart=Never -- sleep 3600
$ cat <<EOF | kubectl apply -f
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: server-netpol # allow client->server
spec:
podSelector:
matchLabels:
run: server
ingress:
- from:
- podSelector:
matchLabels:
run: client
policyTypes:
- Ingress
---
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: client-netpol # deny any->client
spec:
podSelector:
matchLabels:
run: client
policyTypes:
- Ingress
EOF
$ kubectl exec -ti server -- xping -c1 -x666 $CLIENT_POD_IP
PING 10.154.0.50 (10.154.0.50): 56 data bytes
^C
--- 10.154.0.50 ping statistics ---
1 packets transmitted, 0 packets received, 100% packet loss <--- "client-netpol" policy denied
command terminated with exit code 1
$ kubectl exec -ti client -- xping -c1 -x666 $SERVER_POD_IP
PING 10.154.1.16 (10.154.1.16): 56 data bytes
64 bytes from 10.154.1.16: seq=0 ttl=60 time=0.822 ms
--- 10.154.1.16 ping statistics ---
1 packets transmitted, 1 packets received, 0% packet loss <--- "server-netpol" policy allowed
round-trip min/avg/max = 0.822/0.822/0.822 ms
$ kubectl exec -ti server -- xping -c1 -x666 $CLIENT_POD_IP
PING 10.154.0.50 (10.154.0.50): 56 data bytes
64 bytes from 10.154.0.50: seq=0 ttl=60 time=0.527 ms
--- 10.154.0.50 ping statistics ---
1 packets transmitted, 1 packets received, 0% packet loss <--- "client-netpol" policy bypassed
round-trip min/avg/max = 0.527/0.527/0.527 ms
```
## For more information
If you have any questions or comments about this advisory:
- Open an issue in [Cilium Issues](https://github.com/cilium/cilium/issues)
- Email us at security@cilium.io | [] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/cilium/cilium'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.7.8'}, {'fixed': '1.7.15'}]}], 'database_specific': {'last_known_affected_version_range': '<= 1.7.14'}}, {'package': {'ecosystem': 'Go', 'name': 'github.com/cilium/cilium'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.8.3'}, {'fixed': '1.8.8'}]}], 'database_specific': {'last_known_affected_version_range': '<= 1.8.7'}}, {'package': {'ecosystem': 'Go', 'name': 'github.com/cilium/cilium'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.9.0'}, {'fixed': '1.9.5'}]}], 'database_specific': {'last_known_affected_version_range': '<= 1.9.4'}}] | [{'type': 'WEB', 'url': 'https://github.com/cilium/cilium/security/advisories/GHSA-c66w-hq56-4q97'}] | {'cwe_ids': [], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T14:09:14Z', 'nvd_published_at': None} |
1.4.0 | GHSA-6m8p-4fxj-pgc2 | 2021-05-11T19:56:27Z | 2021-05-17T21:01:08Z | null | ['CVE-2020-7688'] | OS Command Injection in mversion | The issue occurs because tagName user input is formatted inside the exec function is executed without any checks. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'mversion'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.0.1'}]}], 'database_specific': {'last_known_affected_version_range': '<= 1.13.0'}}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7688'}, {'type': 'WEB', 'url': 'https://github.com/418sec/huntr/pull/102'}, {'type': 'WEB', 'url': 'https://github.com/mikaelbr/mversion/commit/b7a8b32600e60759a7ad3921ec4a2750bf173482'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-MVERSION-573174'}] | {'cwe_ids': ['CWE-78'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-11T19:56:27Z', 'nvd_published_at': '2020-07-01T17:15:00Z'} |
1.4.0 | GHSA-vj3f-3286-r4pf | 2021-05-17T21:28:16Z | 2021-05-18T21:09:17Z | null | ['CVE-2014-9356'] | Path Traversal in Docker | Path traversal vulnerability in Docker before 1.3.3 allows remote attackers to write to arbitrary files and bypass a container protection mechanism via a full pathname in a symlink in an (1) image or (2) build in a Dockerfile. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/docker/docker'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.3.3'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/moby/moby'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.3.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2014-9356'}, {'type': 'WEB', 'url': 'https://access.redhat.com/security/cve/cve-2014-9356'}, {'type': 'WEB', 'url': 'https://bugzilla.redhat.com/show_bug.cgi?id=1172761'}, {'type': 'WEB', 'url': 'https://groups.google.com/forum/#%21msg/docker-user/nFAz-B-n4Bw/0wr3wvLsnUwJ'}, {'type': 'WEB', 'url': 'https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2014-9356'}, {'type': 'WEB', 'url': 'http://www.securityfocus.com/archive/1/archive/1/534215/100/0/threaded'}] | {'cwe_ids': ['CWE-22'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:28:16Z', 'nvd_published_at': None} |
1.4.0 | GHSA-h43v-26r7-7j4c | 2023-09-29T15:55:50Z | 2021-05-18T18:20:19Z | null | ['CVE-2020-7218'] | Allocation of Resources Without Limits or Throttling in HashiCorp Nomad | HashiCorp Nomad and Nomad Enterprise before 0.10.3 allow unbounded resource usage.
### Specific Go Packages Affected
github.com/hashicorp/nomad/command/agent | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/hashicorp/nomad'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.10.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7218'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/nomad/issues/7002'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/nomad/pull/7022'}, {'type': 'PACKAGE', 'url': 'https://github.com/hashicorp/nomad'}, {'type': 'WEB', 'url': 'https://www.hashicorp.com/blog/category/nomad/'}] | {'cwe_ids': ['CWE-400', 'CWE-770'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-13T15:03:56Z', 'nvd_published_at': '2020-01-31T13:15:00Z'} |
1.4.0 | GHSA-8rf5-92jh-3vc9 | 2021-04-06T21:46:21Z | 2021-05-13T22:31:32Z | null | ['CVE-2021-23900'] | Uncaught Exception leading to Denial of Service in json-sanitizer | OWASP json-sanitizer before 1.2.2 can output invalid JSON or throw an undeclared exception for crafted input. This may lead to denial of service if the application is not prepared to handle these situations. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'Maven', 'name': 'com.mikesamuel:json-sanitizer'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.2.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-23900'}, {'type': 'WEB', 'url': 'https://github.com/OWASP/json-sanitizer/commit/a37f594f7378a1c76b3283e0dab9e1ab1dc0247e'}, {'type': 'WEB', 'url': 'https://github.com/OWASP/json-sanitizer/compare/v1.2.1...v1.2.2'}, {'type': 'WEB', 'url': 'https://groups.google.com/g/json-sanitizer-support/c/dAW1AeNMoA0'}] | {'cwe_ids': ['CWE-248'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-06T21:46:21Z', 'nvd_published_at': '2021-01-13T16:15:00Z'} |
1.4.0 | GHSA-w4x5-jqq4-qc8x | 2021-05-04T22:00:55Z | 2021-05-18T18:27:43Z | null | ['CVE-2019-19026'] | SQL Injection in Cloud Native Computing Foundation Harbor | Cloud Native Computing Foundation Harbor prior to 1.8.6 and 1.9.3 allows SQL Injection via project quotas in the VMware Harbor Container Registry for the Pivotal Platform. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/goharbor/harbor'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.7.0'}, {'fixed': '1.8.6'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/goharbor/harbor'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.9.0'}, {'fixed': '1.9.3'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/goharbor/harbor/security/advisories/GHSA-rh89-vvrg-fg64'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-19026'}, {'type': 'WEB', 'url': 'https://github.com/goharbor/harbor/security/advisories'}, {'type': 'WEB', 'url': 'https://tanzu.vmware.com/security/cve-2019-19026'}] | {'cwe_ids': ['CWE-89'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-04T22:00:55Z', 'nvd_published_at': '2020-03-20T03:15:00Z'} |
1.4.0 | GHSA-rwxp-hwwf-653v | 2023-04-04T17:30:41Z | 2021-05-17T20:58:51Z | null | ['CVE-2021-32817'] | Insecure template handling in express-hbs | express-hbs is an Express handlebars template engine. express-hbs mixes pure template data with engine configuration options through the Express render API. More specifically, the layout parameter may trigger file disclosure vulnerabilities in downstream applications. This potential vulnerability is somewhat restricted in that only files with existing extentions (i.e. file.extension) can be included, files that lack an extension will have .hbs appended to them. For complete details refer to the referenced GHSL-2021-019 report. Notes in documentation have been added to help users of express-hbs avoid this potential information exposure vulnerability. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'express-hbs'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '2.4.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-32817'}, {'type': 'WEB', 'url': 'https://github.com/TryGhost/express-hbs/commit/ff6fad6e357699412d4e916273314e5e7af1500e'}, {'type': 'PACKAGE', 'url': 'https://github.com/TryGhost/express-hbs'}, {'type': 'WEB', 'url': 'https://github.com/TryGhost/express-hbs#%EF%B8%8F-this-creates-a-potential-security-vulnerability'}, {'type': 'ADVISORY', 'url': 'https://securitylab.github.com/advisories/GHSL-2021-019-express-hbs/'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/package/express-hbs'}] | {'cwe_ids': ['CWE-200', 'CWE-94'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T19:09:07Z', 'nvd_published_at': '2021-05-14T19:15:00Z'} |
1.4.0 | GHSA-4fcw-pq4r-f4q7 | 2021-05-05T19:53:13Z | 2021-05-07T15:54:31Z | null | ['CVE-2020-9298'] | Server-Side Request Forgery in Spinnaker Orca | The Spinnaker template resolution functionality is vulnerable to Server-Side Request Forgery (SSRF), which allows an attacker to send requests on behalf of Spinnaker potentially leading to sensitive data disclosure. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N'}] | [{'package': {'ecosystem': 'Maven', 'name': 'com.netflix.spinnaker.orca:orca-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '8.7.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-9298'}, {'type': 'WEB', 'url': 'https://github.com/spinnaker/orca/pull/3706/commits/4f3c07da8fcacd67bb1984aef11b2066f2c0d11c'}, {'type': 'WEB', 'url': 'https://github.com/Netflix/security-bulletins/blob/master/advisories/nflx-2020-003.md'}, {'type': 'WEB', 'url': 'https://github.com/spinnaker/orca/releases/tag/v8.7.0'}] | {'cwe_ids': ['CWE-918'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T19:53:13Z', 'nvd_published_at': '2020-08-28T15:15:00Z'} |
1.4.0 | GHSA-gmch-cm2p-9qw9 | 2021-04-21T18:19:08Z | 2021-05-10T18:39:15Z | null | ['CVE-2020-7747'] | Cross-site Scripting in lightning-server | This affects all versions of package lightning-server. It is possible to inject malicious JavaScript code as part of a session controller. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'lightning-server'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.3.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7747'}, {'type': 'WEB', 'url': 'https://github.com/lightning-viz/lightning/blob/master/app/controllers/session.js%23L230'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-LIGHTNINGSERVER-1019381'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-21T18:19:08Z', 'nvd_published_at': '2020-10-20T11:15:00Z'} |
1.4.0 | GHSA-2rmp-fw5r-j5qv | 2022-10-20T13:55:19Z | 2021-05-18T18:22:05Z | null | ['CVE-2019-20933'] | Improper Authentication in InfluxDB | InfluxDB before 1.7.6 has an authentication bypass vulnerability in the authenticate function in services/httpd/handler.go because a JWT token may have an empty SharedSecret (aka shared secret). | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/influxdata/influxdb/services/httpd'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.7.6'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-20933'}, {'type': 'WEB', 'url': 'https://github.com/influxdata/influxdb/issues/12927'}, {'type': 'WEB', 'url': 'https://github.com/influxdata/influxdb/commit/761b557315ff9c1642cf3b0e5797cd3d983a24c0'}, {'type': 'WEB', 'url': 'https://github.com/influxdata/influxdb/compare/v1.7.5...v1.7.6'}, {'type': 'WEB', 'url': 'https://github.com/ticarpi/jwt_tool/blob/a6ca3e0524a204b5add070bc6874cb4e7e5a9864/jwt_tool.py#L1368'}, {'type': 'WEB', 'url': 'https://lists.debian.org/debian-lts-announce/2020/12/msg00030.html'}, {'type': 'PACKAGE', 'url': 'https://pkg.go.dev/github.com/influxdata/influxdb/services/httpd'}, {'type': 'WEB', 'url': 'https://www.debian.org/security/2021/dsa-4823'}] | {'cwe_ids': ['CWE-287'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-12T21:55:56Z', 'nvd_published_at': '2020-11-19T02:15:00Z'} |
1.4.0 | GHSA-6hwh-rqwf-cxxr | 2021-07-28T18:36:56Z | 2021-05-07T16:32:02Z | null | ['CVE-2019-10806'] | Improperly Controlled Modification of Dynamically-Determined Object Attributes in vega-util | vega-util prior to 1.13.1 allows manipulation of object prototype. The 'vega.mergeConfig' method within vega-util could be tricked into adding or modifying properties of the Object.prototype. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'vega-util'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.13.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-10806'}, {'type': 'WEB', 'url': 'https://github.com/vega/vega/commit/8f33a0b5170d7de4f12fc248ec0901234342367b'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-VEGAUTIL-559223'}] | {'cwe_ids': ['CWE-1321', 'CWE-20', 'CWE-915'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-23T20:26:16Z', 'nvd_published_at': '2020-03-09T16:15:00Z'} |
1.4.0 | GHSA-qcg2-h349-vwm3 | 2023-09-11T22:34:30Z | 2021-05-06T15:52:35Z | null | ['CVE-2021-31712'] | Cross-site Scripting in React Draft Wysiwyg | react-draft-wysiwyg (aka React Draft Wysiwyg) before 1.14.6 allows a `javascript:` URi in a Link Target of the link decorator in `decorators/Link/index.js` when a draft is shared across users, leading to XSS. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'react-draft-wysiwyg'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.14.6'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-31712'}, {'type': 'WEB', 'url': 'https://github.com/jpuri/react-draft-wysiwyg/issues/1102'}, {'type': 'WEB', 'url': 'https://github.com/jpuri/react-draft-wysiwyg/pull/1104'}, {'type': 'WEB', 'url': 'https://github.com/jpuri/react-draft-wysiwyg/commit/d2faeb612b53f10dff048de7dc57e1f4044b5380'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-26T18:46:48Z', 'nvd_published_at': '2021-04-24T21:15:00Z'} |
1.4.0 | GHSA-qr2j-wrhx-4829 | 2021-05-12T18:10:24Z | 2021-05-18T18:38:06Z | null | ['CVE-2018-16733'] | Improper Input Validation | In Go Ethereum (aka geth) before 1.8.14, TraceChain in eth/api_tracer.go does not verify that the end block is after the start block. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/ethereum/go-ethereum/eth'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.8.14'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2018-16733'}, {'type': 'WEB', 'url': 'https://github.com/ethereum/go-ethereum/commit/106d196ec4a6451efedc60ab15957f231fa85639'}] | {'cwe_ids': ['CWE-20'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-12T18:10:24Z', 'nvd_published_at': None} |
1.4.0 | GHSA-rrfw-hg9m-j47h | 2021-10-08T21:25:26Z | 2021-05-24T16:59:42Z | null | [] | Signature Validation Bypass | ### Impact
An authentication bypass exists in the [goxmldsig](https://github.com/russellhaering/goxmldsig/security/advisories/GHSA-q547-gmf8-8jr7) this library uses to determine if SAML assertions are genuine. An attacker could craft a SAML response that would appear to be valid but would not have been genuinely issued by the IDP.
### Patches
Version 0.4.2 bumps the dependency which should fix the issue.
### For more information
Please see [the advisory in goxmldsig](https://github.com/russellhaering/goxmldsig/security/advisories/GHSA-q547-gmf8-8jr7)
## Credits
The original vulnerability was discovered by @jupenur. Thanks to @russellhaering for the heads up. | [] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/russellhaering/goxmldsig'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.4.2'}]}], 'database_specific': {'last_known_affected_version_range': '<= 0.4.1'}}] | [{'type': 'WEB', 'url': 'https://github.com/crewjam/saml/security/advisories/GHSA-rrfw-hg9m-j47h'}, {'type': 'PACKAGE', 'url': 'https://github.com/russellhaering/goxmldsig'}] | {'cwe_ids': ['CWE-347'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T22:23:03Z', 'nvd_published_at': None} |
1.4.0 | GHSA-vfr4-x8j2-3rf9 | 2021-05-18T17:00:42Z | 2021-05-21T14:26:48Z | null | ['CVE-2021-29588'] | Division by zero in TFLite's implementation of `TransposeConv` | ### Impact
The optimized implementation of the `TransposeConv` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/optimized/optimized_ops.h#L5221-L5222):
```cc
int height_col = (height + pad_t + pad_b - filter_h) / stride_h + 1;
int width_col = (width + pad_l + pad_r - filter_w) / stride_w + 1;
```
An attacker can craft a model such that `stride_{h,w}` values are 0. Code calling this function must validate these arguments.
### Patches
We have patched the issue in GitHub commit [801c1c6be5324219689c98e1bd3e0ca365ee834d](https://github.com/tensorflow/tensorflow/commit/801c1c6be5324219689c98e1bd3e0ca365ee834d).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by members of the Aivul Team from Qihoo 360. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vfr4-x8j2-3rf9'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29588'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/801c1c6be5324219689c98e1bd3e0ca365ee834d'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T17:00:42Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-733f-44f3-3frw | 2023-08-30T11:07:54Z | 2021-05-18T21:08:35Z | null | ['CVE-2020-12666'] | gopkg.in/macaron.v1 Open redirect vulnerability | macaron before 1.3.7 has an open redirect in the static handler. Due to improper request santization, a specifically crafted URL can cause the static file handler to redirect to an attacker chosen URL, allowing for open redirect attacks. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'gopkg.in/macaron.v1'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.3.7'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-12666'}, {'type': 'WEB', 'url': 'https://github.com/go-macaron/macaron/issues/198'}, {'type': 'WEB', 'url': 'https://github.com/go-macaron/macaron/issues/198#issuecomment-622885959'}, {'type': 'WEB', 'url': 'https://github.com/go-macaron/macaron/pull/199'}, {'type': 'WEB', 'url': 'https://github.com/go-macaron/macaron/pull/199/commits/6bd9385542f7133467ab7d09a5f28f7d5dc52af7'}, {'type': 'WEB', 'url': 'https://github.com/go-macaron/macaron/commit/addc7461c3a90a040e79aa75bfd245107a210245'}, {'type': 'PACKAGE', 'url': 'https://github.com/go-macaron/macaron'}, {'type': 'WEB', 'url': 'https://github.com/go-macaron/macaron/releases/tag/v1.3.7'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/3QEUOHRC4EN4WZ66EVFML2UCV7ZQ63XZ/'}, {'type': 'WEB', 'url': 'https://pkg.go.dev/vuln/GO-2020-0039'}] | {'cwe_ids': ['CWE-601'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T20:50:16Z', 'nvd_published_at': '2020-05-05T22:15:00Z'} |
1.4.0 | GHSA-mq5c-prh3-3f3h | 2021-05-17T22:05:10Z | 2021-05-21T14:28:32Z | null | ['CVE-2021-29610'] | Invalid validation in `QuantizeAndDequantizeV2` | ### Impact
The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:
```python
import tensorflow as tf
input_tensor = tf.constant([0.0], shape=[1], dtype=float)
input_min = tf.constant(-10.0)
input_max = tf.constant(-10.0)
tf.raw_ops.QuantizeAndDequantizeV2(
input=input_tensor, input_min=input_min, input_max=input_max,
signed_input=False, num_bits=1, range_given=False, round_mode='HALF_TO_EVEN',
narrow_range=False, axis=-2)
```
The [validation](https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions:
```cc
OP_REQUIRES(ctx,
(axis_ == -1 || axis_ < input.shape().dims()),
errors::InvalidArgument(...));
```
If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap.
### Patches
We have patched the issue in GitHub commit [c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9](https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
### Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L'}] | [{'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-cpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.4'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.0'}, {'fixed': '2.2.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.3.0'}, {'fixed': '2.3.3'}]}]}, {'package': {'ecosystem': 'PyPI', 'name': 'tensorflow-gpu'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29610'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9'}] | {'cwe_ids': ['CWE-665', 'CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T22:05:10Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-7gcp-w6ww-2xv9 | 2021-05-21T22:17:06Z | 2021-05-24T16:59:53Z | null | ['CVE-2020-15229'] | Path traversal and files overwrite with unsquashfs in singularity | ### Impact
Due to insecure handling of path traversal and the lack of path sanitization within `unsquashfs` (a distribution provided utility used by Singularity), it is possible to overwrite/create any files on the host filesystem during the extraction of a crafted squashfs filesystem.
Squashfs extraction occurs automatically for unprivileged execution of Singularity (either `--without-suid` installation or with `allow setuid = no`) when a user attempts to run an image which:
- is a local SIF image or a single file containing a squashfs filesystem
- is pulled from remote sources `library://` or `shub://`
Image build is also impacted in a more serious way as it is often performed by the root user, allowing an attacker to overwrite/create files leading to a system compromise. Bootstrap methods `library`, `shub` and `localimage` trigger a squashfs extraction.
### Patches
This issue is addressed in Singularity 3.6.4.
All users are advised to upgrade to 3.6.4 especially if they use Singularity mainly for building image as root user.
### Workarounds
There is no solid workaround except to temporarily avoid use of unprivileged mode with single file images, in favor of sandbox images instead. Regarding image build, temporarily avoid building from `library` and `shub` sources, and as much as possible use `--fakeroot` or a VM to limit potential impact.
### For more information
General questions about the impact of the advisory / changes made in the 3.6.0 release can be asked in the:
* [Singularity Slack Channel](https://bit.ly/2m0g3lX)
* [Singularity Mailing List](https://groups.google.com/a/lbl.gov/forum/??sdf%7Csort:date#!forum/singularity)
Any sensitive security concerns should be directed to: security@sylabs.io
See our Security Policy here: https://sylabs.io/security-policy | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:H/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/sylabs/singularity'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '3.1.1'}, {'fixed': '3.6.4'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/hpcng/singularity/security/advisories/GHSA-7gcp-w6ww-2xv9'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-15229'}, {'type': 'WEB', 'url': 'https://github.com/hpcng/singularity/pull/5611'}, {'type': 'WEB', 'url': 'https://github.com/hpcng/singularity/commit/eba3dea260b117198fdb6faf41f2482ab2f8d53e'}, {'type': 'WEB', 'url': 'https://github.com/hpcng/singularity/blob/v3.6.4/CHANGELOG.md#security-related-fixes'}, {'type': 'WEB', 'url': 'http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00070.html'}, {'type': 'WEB', 'url': 'http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00071.html'}, {'type': 'WEB', 'url': 'http://lists.opensuse.org/opensuse-security-announce/2020-11/msg00009.html'}] | {'cwe_ids': ['CWE-22'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T22:17:06Z', 'nvd_published_at': '2020-10-14T19:15:00Z'} |
1.4.0 | GHSA-jmv4-73v2-pvgc | 2021-05-28T22:27:11Z | 2021-05-25T18:46:58Z | null | ['CVE-2021-25929'] | Cross-site Scripting in OpenNMS Horizon | In OpenNMS Horizon, versions opennms-1-0-stable through opennms-27.1.1; OpenNMS Meridian, versions meridian-foundation-2015.1.0-1 through meridian-foundation-2019.1.18-1; meridian-foundation-2020.1.0-1 through meridian-foundation-2020.1.6-1 are vulnerable to Stored Cross-Site Scripting since there is no validation on the input being sent to the `name` parameter in `noticeWizard` endpoint. Due to this flaw an authenticated attacker could inject arbitrary script and trick other admin users into downloading malicious files. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.opennms:opennms'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.0.0'}, {'fixed': '27.1.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-25929'}, {'type': 'WEB', 'url': 'https://github.com/OpenNMS/opennms/commit/66c1f626bf38a7d1a9530b4d68598269ee5245a2'}, {'type': 'WEB', 'url': 'https://github.com/OpenNMS/opennms/commit/eb08b5ed4c5548f3e941a1f0d0363ae4439fa98c'}, {'type': 'WEB', 'url': 'https://www.whitesourcesoftware.com/vulnerability-database/CVE-2021-25929'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T17:29:06Z', 'nvd_published_at': '2021-05-20T15:15:00Z'} |
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