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1.4.0 | GHSA-5796-p3m6-9qj4 | 2023-02-07T18:23:16Z | 2021-05-18T15:31:39Z | null | ['CVE-2019-11289'] | Cloud Foundry Routing Improper Input Validation vulnerability | Cloud Foundry Routing, all versions before 0.0.0-20191101214924-b1b5c44e050f, does not properly validate nonce input. A remote unauthorized malicious user could forge a route service request using an invalid nonce that will cause the Gorouter to crash. | [{'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': 'code.cloudfoundry.org/gorouter'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.0.0-20191101214924-b1b5c44e050f'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/cloudfoundry/gorouter'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.0.0-20191101214924-b1b5c44e050f'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-11289'}, {'type': 'WEB', 'url': 'https://github.com/cloudfoundry/gorouter/commit/b1b5c44e050f73b399b379ca63a42a2c5780a83f'}, {'type': 'PACKAGE', 'url': 'https://github.com/cloudfoundry/gorouter'}, {'type': 'WEB', 'url': 'https://pkg.go.dev/vuln/GO-2021-0102'}, {'type': 'WEB', 'url': 'https://www.cloudfoundry.org/blog/cve-2019-11289'}] | {'cwe_ids': ['CWE-20'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:24:54Z', 'nvd_published_at': None} |
1.4.0 | GHSA-rffr-c932-cpxv | 2021-05-04T22:01:58Z | 2021-05-18T18:27:50Z | null | ['CVE-2019-19025'] | Cross-site Request Forgery (CSRF) in Cloud Native Computing Foundation Harbor | Cloud Native Computing Foundation Harbor prior to 1.8.6 and 1.9.3 allows CSRF in the VMware Harbor Container Registry for the Pivotal Platform. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:L/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-gcqm-v682-ccw6'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-19025'}, {'type': 'WEB', 'url': 'https://github.com/goharbor/harbor/security/advisories'}, {'type': 'WEB', 'url': 'https://tanzu.vmware.com/security/cve-2019-19025'}] | {'cwe_ids': ['CWE-352'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-04T22:01:58Z', 'nvd_published_at': '2020-03-20T03:15:00Z'} |
1.4.0 | GHSA-72mh-269x-7mh5 | 2021-05-20T21:59:29Z | 2021-05-24T19:52:55Z | null | ['CVE-2021-31597'] | Improper Certificate Validation in xmlhttprequest-ssl | The xmlhttprequest-ssl package before 1.6.1 for Node.js disables SSL certificate validation by default, because rejectUnauthorized (when the property exists but is undefined) is considered to be false within the https.request function of Node.js. In other words, no certificate is ever rejected. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:L'}] | [{'package': {'ecosystem': 'npm', 'name': 'xmlhttprequest-ssl'}, 'ecosystem_specific': {'affected_functions': ['xmlhttprequest-ssl.XMLHttpRequest']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.6.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-31597'}, {'type': 'WEB', 'url': 'https://github.com/mjwwit/node-XMLHttpRequest/commit/bf53329b61ca6afc5d28f6b8d2dc2e3ca740a9b2'}, {'type': 'WEB', 'url': 'https://github.com/mjwwit/node-XMLHttpRequest/compare/v1.6.0...1.6.1'}, {'type': 'WEB', 'url': 'https://people.kingsds.network/wesgarland/xmlhttprequest-ssl-vuln.txt'}, {'type': 'WEB', 'url': 'https://security.netapp.com/advisory/ntap-20210618-0004/'}] | {'cwe_ids': ['CWE-295'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-20T21:59:29Z', 'nvd_published_at': '2021-04-23T00:15:00Z'} |
1.4.0 | GHSA-2rq5-68hm-h4j8 | 2021-05-28T22:26:41Z | 2021-05-25T18:46:55Z | null | ['CVE-2021-25931'] | Cross-Site Request Forgery 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 CSRF, due to no CSRF protection at `/opennms/admin/userGroupView/users/updateUser`. This flaw allows assigning `ROLE_ADMIN` security role to a normal user. Using this flaw, an attacker can trick the admin user to assign administrator privileges to a normal user by enticing him to click upon an attacker-controlled website. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H'}] | [{'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-2021-25931'}, {'type': 'WEB', 'url': 'https://github.com/OpenNMS/opennms/commit/607151ea8f90212a3fb37c977fa57c7d58d26a84'}, {'type': 'WEB', 'url': 'https://github.com/OpenNMS/opennms/commit/eb08b5ed4c5548f3e941a1f0d0363ae4439fa98c'}, {'type': 'WEB', 'url': 'https://www.whitesourcesoftware.com/vulnerability-database/CVE-2021-25931'}] | {'cwe_ids': ['CWE-352'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T17:28:35Z', 'nvd_published_at': '2021-05-20T15:15:00Z'} |
1.4.0 | GHSA-jf7h-7m85-w2v2 | 2021-05-17T22:25:58Z | 2021-05-21T14:28:22Z | null | ['CVE-2021-29605'] | Integer overflow in TFLite memory allocation | ### Impact
The TFLite code for allocating `TFLiteIntArray`s is [vulnerable to an integer overflow issue](https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L24-L27):
```cc
int TfLiteIntArrayGetSizeInBytes(int size) {
static TfLiteIntArray dummy;
return sizeof(dummy) + sizeof(dummy.data[0]) * size;
}
```
An attacker can craft a model such that the `size` multiplier is so large that the return value overflows the `int` datatype and becomes negative. In turn, this results in [invalid value being given to `malloc`](https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L47-L52):
```cc
TfLiteIntArray* TfLiteIntArrayCreate(int size) {
TfLiteIntArray* ret = (TfLiteIntArray*)malloc(TfLiteIntArrayGetSizeInBytes(size));
ret->size = size;
return ret;
}
```
In this case, `ret->size` would dereference an invalid pointer.
### Patches
We have patched the issue in GitHub commit [7c8cc4ec69cd348e44ad6a2699057ca88faad3e5](https://github.com/tensorflow/tensorflow/commit/7c8cc4ec69cd348e44ad6a2699057ca88faad3e5).
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:L/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'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jf7h-7m85-w2v2'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29605'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/7c8cc4ec69cd348e44ad6a2699057ca88faad3e5'}] | {'cwe_ids': ['CWE-190'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T22:25:58Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-cv7m-wc7g-7gfp | 2021-05-05T19:10:44Z | 2021-05-06T18:54:41Z | null | ['CVE-2020-5776'] | Cross-Site Request Forgery in MAGMI | All versions of MAGMI up to and including version 0.7.24 are vulnerable to CSRF due to the lack of CSRF tokens. RCE (via phpcli command) is possible in the event that a CSRF is leveraged against an existing admin session for MAGMI. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'Packagist', 'name': 'dweeves/magmi'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.7.24'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-5776'}, {'type': 'WEB', 'url': 'https://www.tenable.com/security/research/tra-2020-51'}] | {'cwe_ids': ['CWE-352'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T19:10:44Z', 'nvd_published_at': '2020-09-01T21:15:00Z'} |
1.4.0 | GHSA-4pv3-63jw-4jw2 | 2022-10-07T20:41:22Z | 2021-05-07T15:53:40Z | null | ['CVE-2020-9489'] | Missing Release of Memory after Effective Lifetime in Apache Tika | A carefully crafted or corrupt file may trigger a System.exit in Tika's OneNote Parser. Crafted or corrupted files can also cause out of memory errors and/or infinite loops in Tika's ICNSParser, MP3Parser, MP4Parser, SAS7BDATParser, OneNoteParser and ImageParser. Apache Tika users should upgrade to 1.24.1 or later. The vulnerabilities in the MP4Parser were partially fixed by upgrading the com.googlecode:isoparser:1.1.22 dependency to org.tallison:isoparser:1.9.41.2. For unrelated security reasons, we upgraded org.apache.cxf to 3.3.6 as part of the 1.24.1 release. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.apache.tika:tika'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.24.1'}]}], 'database_specific': {'last_known_affected_version_range': '<= 1.24'}}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-9489'}, {'type': 'WEB', 'url': 'https://github.com/apache/tika/commit/0f4d5de0f85455e91433fb0b464ea0461d7c891d'}, {'type': 'PACKAGE', 'url': 'https://github.com/apache/tika'}, {'type': 'WEB', 'url': 'https://issues.apache.org/jira/browse/TIKA-3081'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r4cbc3f6981cd0a1a482531df9d44e4c42a7f63342a7ba78b7bff8a1b@%3Cnotifications.james.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r4d943777e36ca3aa6305a45da5acccc54ad894f2d5a07186cfa2442c%40%3Cdev.tika.apache.org%3E'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuApr2021.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpujul2021.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuoct2020.html'}] | {'cwe_ids': ['CWE-401', 'CWE-835'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T22:53:02Z', 'nvd_published_at': '2020-04-27T14:15:00Z'} |
1.4.0 | GHSA-772j-h9xw-ffp5 | 2021-05-18T23:29:36Z | 2021-05-21T14:21:08Z | null | ['CVE-2021-29519'] | CHECK-fail in SparseCross due to type confusion | ### Impact
The API of `tf.raw_ops.SparseCross` allows combinations which would result in a `CHECK`-failure and denial of service:
```python
import tensorflow as tf
hashed_output = False
num_buckets = 1949315406
hash_key = 1869835877
out_type = tf.string
internal_type = tf.string
indices_1 = tf.constant([0, 6], shape=[1, 2], dtype=tf.int64)
indices_2 = tf.constant([0, 0], shape=[1, 2], dtype=tf.int64)
indices = [indices_1, indices_2]
values_1 = tf.constant([0], dtype=tf.int64)
values_2 = tf.constant([72], dtype=tf.int64)
values = [values_1, values_2]
batch_size = 4
shape_1 = tf.constant([4, 122], dtype=tf.int64)
shape_2 = tf.constant([4, 188], dtype=tf.int64)
shapes = [shape_1, shape_2]
dense_1 = tf.constant([188, 127, 336, 0], shape=[4, 1], dtype=tf.int64)
dense_2 = tf.constant([341, 470, 470, 470], shape=[4, 1], dtype=tf.int64)
dense_3 = tf.constant([188, 188, 341, 922], shape=[4, 1], dtype=tf.int64)
denses = [dense_1, dense_2, dense_3]
tf.raw_ops.SparseCross(indices=indices, values=values, shapes=shapes, dense_inputs=denses, hashed_output=hashed_output,
num_buckets=num_buckets, hash_key=hash_key, out_type=out_type, internal_type=internal_type)
```
The above code will result in a `CHECK` fail in [`tensor.cc`](https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorflow/core/framework/tensor.cc#L670-L675):
```cc
void Tensor::CheckTypeAndIsAligned(DataType expected_dtype) const {
CHECK_EQ(dtype(), expected_dtype)
<< " " << DataTypeString(expected_dtype) << " expected, got "
<< DataTypeString(dtype());
...
}
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorflow/core/kernels/sparse_cross_op.cc#L114-L116) is tricked to consider a tensor of type `tstring` which in fact contains integral elements:
```cc
if (DT_STRING == values_.dtype())
return Fingerprint64(values_.vec<tstring>().data()[start + n]);
return values_.vec<int64>().data()[start + n];
```
Fixing the type confusion by preventing mixing `DT_STRING` and `DT_INT64` types solves this issue.
### Patches
We have patched the issue in GitHub commit [b1cc5e5a50e7cee09f2c6eb48eb40ee9c4125025](https://github.com/tensorflow/tensorflow/commit/b1cc5e5a50e7cee09f2c6eb48eb40ee9c4125025).
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-772j-h9xw-ffp5'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29519'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/b1cc5e5a50e7cee09f2c6eb48eb40ee9c4125025'}] | {'cwe_ids': ['CWE-843'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:29:36Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-35vc-w93w-75c2 | 2021-05-20T20:25:40Z | 2021-05-21T16:24:34Z | null | ['CVE-2021-29651'] | JWT leak via Open Redirect in Programmatic access | ### Impact
Using programmatic access on protected sites, one can get a signed login URL with pomerium_redirect_uri set to an arbitrary URL. Then, if the user has already logged into Pomerium, they will be redirected to the specified pomerium_redirect_uri with a JWT attached. This allows an outside attacker to get a signed login URL that, upon visiting it, will redirect a victim to the attacker’s site. This creates an issue of Open Redirect and, more seriously, JWT leakage.
With a leaked JWT, the attacker will be able to unveil the victim’s identity (.e.g. email address) by supplying the JWT to the authenticate service or verify.pomerium.com. In addition, if an application integrating Pomerium only verifies the iss claim and others but not the aud claim, the attacker will be able to access it as the victim.
### Patches
Patched in Pomerium v0.13.4
### For more information
If you have any questions or comments about this advisory
* Open an issue in [pomerium](http://github.com/pomerium/pomerium)
* Email us at [security@pomerium.com](mailto:security@pomerium.com) | [{'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': 'Go', 'name': 'github.com/pomerium/pomerium'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.13.4'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/pomerium/pomerium/proxy'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.13.4'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/pomerium/pomerium/security/advisories/GHSA-35vc-w93w-75c2'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29651'}, {'type': 'WEB', 'url': 'https://github.com/pomerium/pomerium/pull/2049'}] | {'cwe_ids': ['CWE-200', 'CWE-601'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-20T20:25:40Z', 'nvd_published_at': None} |
1.4.0 | GHSA-hcq6-h8v2-r5wm | 2021-04-21T20:52:05Z | 2021-05-10T18:38:34Z | null | ['CVE-2020-7740'] | Server-Side Request Forgery in node-pdf-generator | This affects all versions of package node-pdf-generator up to and including 0.0.6. Due to lack of user input validation and sanitization done to the content given to node-pdf-generator, it is possible for an attacker to craft a url that will be passed to an external server allowing an SSRF attack. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'node-pdf-generator'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.0.6'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7740'}, {'type': 'WEB', 'url': 'https://github.com/darrenhaken/node-pdf-generator/blob/master/index.js%23L29'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-NODEPDFGENERATOR-609636'}] | {'cwe_ids': ['CWE-20', 'CWE-918'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-21T20:52:05Z', 'nvd_published_at': '2020-10-06T18:15:00Z'} |
1.4.0 | GHSA-xw93-v57j-fcgh | 2021-05-18T20:40:17Z | 2021-05-21T14:24:48Z | null | ['CVE-2021-29557'] | Division by 0 in `SparseMatMul` | ### Impact
An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.SparseMatMul`:
```python
import tensorflow as tf
a = tf.constant([100.0, 100.0, 100.0, 100.0], shape=[2, 2], dtype=tf.float32)
b = tf.constant([], shape=[0, 2], dtype=tf.float32)
tf.raw_ops.SparseMatMul(
a=a, b=b, transpose_a=True, transpose_b=True,
a_is_sparse=True, b_is_sparse=True)
```
The division by 0 occurs deep in Eigen code because the `b` tensor is empty.
### Patches
We have patched the issue in GitHub commit [7f283ff806b2031f407db64c4d3edcda8fb9f9f5](https://github.com/tensorflow/tensorflow/commit/7f283ff806b2031f407db64c4d3edcda8fb9f9f5).
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-xw93-v57j-fcgh'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29557'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/7f283ff806b2031f407db64c4d3edcda8fb9f9f5'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T20:40:17Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-mjxr-4v3x-q3m4 | 2021-03-29T23:13:11Z | 2021-05-06T16:10:19Z | null | ['CVE-2021-26540'] | Improper Input Validation in sanitize-html | Apostrophe Technologies sanitize-html before 2.3.2 does not properly validate the hostnames set by the "allowedIframeHostnames" option when the "allowIframeRelativeUrls" is set to true, which allows attackers to bypass hostname whitelist for iframe element, related using an src value that starts with "/\\example.com". | [{'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': '2.3.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-26540'}, {'type': 'WEB', 'url': 'https://github.com/apostrophecms/sanitize-html/pull/460'}, {'type': 'WEB', 'url': 'https://advisory.checkmarx.net/advisory/CX-2021-4309'}, {'type': 'WEB', 'url': 'https://github.com/apostrophecms/sanitize-html/blob/main/CHANGELOG.md#232-2021-01-26'}] | {'cwe_ids': ['CWE-20'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-03-29T23:13:11Z', 'nvd_published_at': '2021-02-08T17:15:00Z'} |
1.4.0 | GHSA-fw5f-7c6c-3vmv | 2022-09-21T22:35:51Z | 2021-05-07T16:16:30Z | null | ['CVE-2020-10544'] | Cross-site Scripting in PrimeFaces | An XSS issue was discovered in tooltip/tooltip.js in PrimeTek PrimeFaces 7.0.11. In a web application using PrimeFaces, an attacker can provide JavaScript code in an input field whose data is later used as a tooltip title without any input validation. | [{'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': 'primefaces'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '8.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-10544'}, {'type': 'WEB', 'url': 'https://github.com/primefaces/primefaces/issues/5642'}, {'type': 'WEB', 'url': 'https://github.com/primefaces/primefaces/commit/9982c4f7a83f75e3ab06168fa283e3d6128dfd1f'}, {'type': 'PACKAGE', 'url': 'https://github.com/primefaces/primefaces'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-03T20:39:02Z', 'nvd_published_at': '2020-03-13T15:15:00Z'} |
1.4.0 | GHSA-43f8-2h32-f4cj | 2022-03-18T20:25:44Z | 2021-05-06T16:10:39Z | null | ['CVE-2021-23362'] | Regular Expression Denial of Service in hosted-git-info | The npm package `hosted-git-info` before 3.0.8 are vulnerable to Regular Expression Denial of Service (ReDoS) via regular expression shortcutMatch in the fromUrl function in index.js. The affected regular expression exhibits polynomial worst-case time complexity | [{'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': 'hosted-git-info'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.8.9'}]}]}, {'package': {'ecosystem': 'npm', 'name': 'hosted-git-info'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '3.0.0'}, {'fixed': '3.0.8'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-23362'}, {'type': 'WEB', 'url': 'https://github.com/npm/hosted-git-info/pull/76'}, {'type': 'WEB', 'url': 'https://github.com/npm/hosted-git-info/commit/29adfe5ef789784c861b2cdeb15051ec2ba651a7'}, {'type': 'WEB', 'url': 'https://github.com/npm/hosted-git-info/commit/8d4b3697d79bcd89cdb36d1db165e3696c783a01'}, {'type': 'WEB', 'url': 'https://github.com/npm/hosted-git-info/commit/bede0dc38e1785e732bf0a48ba6f81a4a908eba3'}, {'type': 'WEB', 'url': 'https://cert-portal.siemens.com/productcert/pdf/ssa-389290.pdf'}, {'type': 'PACKAGE', 'url': 'https://github.com/npm/hosted-git-info'}, {'type': 'WEB', 'url': 'https://github.com/npm/hosted-git-info/commits/v2'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1088356'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-HOSTEDGITINFO-1088355'}] | {'cwe_ids': ['CWE-400'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-03-24T21:06:22Z', 'nvd_published_at': '2021-03-23T17:15:00Z'} |
1.4.0 | GHSA-vwpg-f6gw-rjvf | 2021-05-07T18:52:54Z | 2021-05-10T15:18:50Z | null | ['CVE-2021-22113'] | Incorrect Authorization in Spring Cloud Netflix Zuul | Applications using the “Sensitive Headers” functionality in Spring Cloud Netflix Zuul 2.2.6.RELEASE and below may be vulnerable to bypassing the “Sensitive Headers” restriction when executing requests with specially constructed URLs. Applications that use Spring Security's StrictHttpFirewall (enabled by default for all URLs) are not affected by the vulnerability, as they reject requests that allow bypassing. | [] | [{'package': {'ecosystem': 'Maven', 'name': 'org.springframework.cloud:spring-cloud-netflix-zuul'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.2.7'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-22113'}, {'type': 'WEB', 'url': 'https://github.com/spring-cloud/spring-cloud-netflix/commit/8ecb3dca511c3ce0454e42ac31ee2331d7318c07'}, {'type': 'WEB', 'url': 'https://tanzu.vmware.com/security/cve-2021-22113'}] | {'cwe_ids': ['CWE-863'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-07T18:52:54Z', 'nvd_published_at': '2021-02-23T17:15:00Z'} |
1.4.0 | GHSA-h68q-55jf-x68w | 2021-04-20T17:46:27Z | 2021-05-10T18:47:53Z | null | ['CVE-2020-7746'] | Prototype pollution in chart.js | This affects the package chart.js before 2.9.4. The options parameter is not properly sanitized when it is processed. When the options are processed, the existing options (or the defaults options) are deeply merged with provided options. However, during this operation, the keys of the object being set are not checked, leading to a prototype pollution. | [{'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': 'chart.js'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.9.4'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7746'}, {'type': 'WEB', 'url': 'https://github.com/chartjs/Chart.js/pull/7920'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSBOWER-1019375'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSBOWERGITHUBCHARTJS-1019376'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1019374'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-CHARTJS-1018716'}] | {'cwe_ids': ['CWE-1321', 'CWE-915'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-20T17:46:27Z', 'nvd_published_at': '2020-10-29T08:15:00Z'} |
1.4.0 | GHSA-mg53-xr8m-86hw | 2021-05-05T19:14:04Z | 2021-05-07T15:54:54Z | null | ['CVE-2020-24554'] | Open Redirect in Liferay Portal | The redirect module in Liferay Portal before 7.3.3 does not limit the number of URLs resulting in a 404 error that is recorded, which allows remote attackers to perform a denial of service attack by making repeated requests for pages that do not exist. | [{'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.liferay.portal:release.portal.bom'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '7.3.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-24554'}, {'type': 'WEB', 'url': 'https://portal.liferay.dev/learn/security/known-vulnerabilities'}, {'type': 'WEB', 'url': 'https://portal.liferay.dev/learn/security/known-vulnerabilities/-/asset_publisher/HbL5mxmVrnXW/content/id/119784956'}] | {'cwe_ids': ['CWE-601'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T19:14:04Z', 'nvd_published_at': '2020-09-01T14:15:00Z'} |
1.4.0 | GHSA-q4h8-7qff-gh6c | 2021-05-04T22:08:54Z | 2021-05-06T18:28:08Z | null | ['CVE-2020-8134'] | Server-side request forgery in Ghost CMS | Server-side request forgery (SSRF) vulnerability in Ghost CMS < 3.10.0 allows an attacker to scan local or external network or otherwise interact with internal systems. | [{'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': 'npm', 'name': 'ghost'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '3.10.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-8134'}, {'type': 'WEB', 'url': 'https://hackerone.com/reports/793704'}] | {'cwe_ids': ['CWE-918'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-04T22:08:54Z', 'nvd_published_at': '2020-03-20T19:15:00Z'} |
1.4.0 | GHSA-x462-89pf-6r5h | 2021-05-20T20:52:26Z | 2021-05-21T16:23:17Z | null | ['CVE-2021-21404'] | Crash due to malformed relay protocol message | ### Impact
1. `syncthing` can be caused to crash and exit if sent a malformed relay
protocol message message with a negative length field.
2. The relay server `strelaysrv` can be caused to crash and exit if sent
a malformed relay protocol message with a negative length field.
At no point is sensitive data exposed or liable to be altered due to this
issue. Sensitive data is never exposed to relay operators. Syncthing itself
would need to be lured to connect to a malicious relay server in order to
exploit the issue.
### Patches
Fixed in version 1.15.0.
### Workarounds
1. No known workaround for `strelaysrv`.
2. `syncthing` can be configured to not use relays, or to only use specific,
trusted relays. If Syncthing is used in a closed environment or with
relaying disabled, i.e., it does not communicate with unknown relays,
Syncthing is not vulnerable.
### For more information
If you have any questions or comments about this advisory, please discuss it [on the forum](https://forum.syncthing.net/).
Thanks to Wojciech Paciorek for discovering and reporting this issue. | [{'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/syncthing/syncthing'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.15.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/syncthing/syncthing/security/advisories/GHSA-x462-89pf-6r5h'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-21404'}, {'type': 'WEB', 'url': 'https://github.com/syncthing/syncthing/commit/fb4fdaf4c0a79c22cad000c42ac1394e3ccb6a97'}, {'type': 'WEB', 'url': 'https://github.com/syncthing/syncthing/releases/tag/v1.15.0'}, {'type': 'WEB', 'url': 'https://pkg.go.dev/github.com/syncthing/syncthing'}] | {'cwe_ids': ['CWE-20'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-20T20:52:26Z', 'nvd_published_at': '2021-04-06T20:15:00Z'} |
1.4.0 | GHSA-4q97-fh3f-j294 | 2021-05-07T21:50:46Z | 2021-05-10T15:59:24Z | null | ['CVE-2020-7724'] | Prototype Pollution in tiny-conf | All versions of package tiny-conf up to and including version 1.1.0 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': 'tiny-conf'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.1.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7724'}, {'type': 'WEB', 'url': 'https://github.com/tiny-conf/tiny-conf/commit/1f7be78bc68927996647cd45b4367f8975a3ea05'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-TINYCONF-598792'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-07T21:50:46Z', 'nvd_published_at': '2020-09-01T10:15:00Z'} |
1.4.0 | GHSA-4vf2-4xcg-65cx | 2021-05-18T23:14:52Z | 2021-05-21T14:21:55Z | null | ['CVE-2021-29526'] | Division by 0 in `Conv2D` | ### Impact
An attacker can trigger a division by 0 in `tf.raw_ops.Conv2D`:
```python
import tensorflow as tf
input = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32)
filter = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32)
strides = [1, 1, 1, 1]
padding = "SAME"
tf.raw_ops.Conv2D(input=input, filter=filter, strides=strides, padding=padding)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/988087bd83f144af14087fe4fecee2d250d93737/tensorflow/core/kernels/conv_ops.cc#L261-L263) does a division by a quantity that is controlled by the caller:
```cc
const int64 patch_depth = filter.dim_size(2);
if (in_depth % patch_depth != 0) { ... }
```
### Patches
We have patched the issue in GitHub commit [b12aa1d44352de21d1a6faaf04172d8c2508b42b](https://github.com/tensorflow/tensorflow/commit/b12aa1d44352de21d1a6faaf04172d8c2508b42b).
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-4vf2-4xcg-65cx'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29526'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/b12aa1d44352de21d1a6faaf04172d8c2508b42b'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:14:52Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-fmf5-j5j9-99pp | 2023-09-06T18:31:16Z | 2021-05-07T16:20:44Z | null | ['CVE-2020-7604'] | OS Command Injection in pulverizr | pulverizr through 0.7.0 allows execution of arbitrary commands. Within `lib/job.js`, the variable `filename` can be controlled by the attacker. This function uses the variable "filename" to construct the argument of the exec call without any sanitization. In order to successfully exploit this vulnerability, an attacker will need to create a new file with the same name as the attack command. | [{'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': 'pulverizr'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.7.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7604'}, {'type': 'WEB', 'url': 'https://github.com/bentruyman/pulverizr/blob/master/lib/job.js#L73'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-PULVERIZR-560122'}] | {'cwe_ids': ['CWE-78'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-04T19:02:09Z', 'nvd_published_at': '2020-03-15T22:15:00Z'} |
1.4.0 | GHSA-8rm6-75mf-7r7r | 2021-05-17T22:27:24Z | 2021-05-21T14:28:19Z | null | ['CVE-2021-29604'] | Division by zero in TFLite's implementation of hashtable lookup | ### Impact
The TFLite implementation of hashtable lookup is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115):
```cc
const int num_rows = SizeOfDimension(value, 0);
const int row_bytes = value->bytes / num_rows;
```
An attacker can craft a model such that `values`'s first dimension would be 0.
### Patches
We have patched the issue in GitHub commit [5117e0851348065ed59c991562c0ec80d9193db2](https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2).
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-8rm6-75mf-7r7r'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29604'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T22:27:24Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-f8fh-8rgm-227h | 2023-09-13T17:35:35Z | 2021-05-07T16:16:16Z | null | ['CVE-2020-7602'] | OS Command Injection in node-prompt-here | node-prompt-here through 1.0.1 allows execution of arbitrary commands. The `runCommand()` is called by `getDevices()` function in file `linux/manager.js`, which is required by the `index. process.env.NM_CLI` in the file `linux/manager.js`. This function is used to construct the argument of function `execSync()`, which can be controlled by users without any 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': 'node-prompt-here'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.0.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7602'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-NODEPROMPTHERE-560115'}] | {'cwe_ids': ['CWE-78'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-03T21:44:33Z', 'nvd_published_at': '2020-03-15T22:15:00Z'} |
1.4.0 | GHSA-h4j5-c7cj-74xg | 2023-09-08T19:46:08Z | 2021-05-04T18:02:34Z | null | ['CVE-2020-28502'] | xmlhttprequest and xmlhttprequest-ssl vulnerable to Arbitrary Code Injection | This affects the package xmlhttprequest before 1.7.0; all versions of package xmlhttprequest-ssl. Provided requests are sent synchronously (`async=False` on `xhr.open`), malicious user input flowing into `xhr.send` could result in arbitrary code being injected and run. | [{'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': 'xmlhttprequest'}, 'ecosystem_specific': {'affected_functions': ['xmlhttprequest.XMLHttpRequest']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.7.0'}]}]}, {'package': {'ecosystem': 'npm', 'name': 'xmlhttprequest-ssl'}, 'ecosystem_specific': {'affected_functions': ['xmlhttprequest-ssl.XMLHttpRequest']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.6.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-28502'}, {'type': 'WEB', 'url': 'https://github.com/driverdan/node-XMLHttpRequest/commit/983cfc244c7567ad6a59e366e55a8037e0497fe6'}, {'type': 'WEB', 'url': 'https://github.com/mjwwit/node-XMLHttpRequest/commit/ee1e81fc67729c7c0eba5537ed7fe1e30a6b3291'}, {'type': 'WEB', 'url': 'https://github.com/driverdan/node-XMLHttpRequest/blob/1.6.0/lib/XMLHttpRequest.js#L480'}, {'type': 'WEB', 'url': 'https://github.com/driverdan/node-XMLHttpRequest/blob/1.6.0/lib/XMLHttpRequest.js%23L480'}, {'type': 'WEB', 'url': 'https://github.com/mjwwit/node-XMLHttpRequest/blob/ae38832a0f1347c5e96dda665402509a3458e302/lib/XMLHttpRequest.js#L531'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1082937'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1082938'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-XMLHTTPREQUEST-1082935'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-XMLHTTPREQUESTSSL-1082936'}] | {'cwe_ids': ['CWE-94'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-03-18T20:34:02Z', 'nvd_published_at': '2021-03-05T18:15:00Z'} |
1.4.0 | GHSA-m428-jqc4-2p5j | 2021-05-05T21:46:10Z | 2021-05-06T17:28:46Z | null | ['CVE-2020-7700'] | Prototype Pollution in phpjs | All versions of phpjs up to and including 1.3.2 are vulnerable to Prototype Pollution via parse_str. phpjs is no longer maintained and users are advised to use Locutus as a replacement (https://github.com/locutusjs/locutus) | [{'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': 'phpjs'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.3.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7700'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-PHPJS-598681'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T21:46:10Z', 'nvd_published_at': '2020-08-14T15:15:00Z'} |
1.4.0 | GHSA-97wf-p777-86jq | 2021-05-17T22:32:34Z | 2021-05-21T14:28:01Z | null | ['CVE-2021-29599'] | Division by zero in TFLite's implementation of Split | ### Impact
The implementation of the `Split` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/e2752089ef7ce9bcf3db0ec618ebd23ea119d0c7/tensorflow/lite/kernels/split.cc#L63-L65):
```cc
TF_LITE_ENSURE_MSG(context, input_size % num_splits == 0, "Not an even split");
const int slice_size = input_size / num_splits;
```
An attacker can craft a model such that `num_splits` would be 0.
### Patches
We have patched the issue in GitHub commit [b22786e7e9b7bdb6a56936ff29cc7e9968d7bc1d](https://github.com/tensorflow/tensorflow/commit/b22786e7e9b7bdb6a56936ff29cc7e9968d7bc1d).
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-97wf-p777-86jq'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29599'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/b22786e7e9b7bdb6a56936ff29cc7e9968d7bc1d'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T22:32:34Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-567x-m4wm-87v8 | 2022-04-22T15:50:03Z | 2021-05-10T15:23:25Z | null | ['CVE-2021-28657'] | Infinite loop in Apache Tika | A carefully crafted or corrupt file may trigger an infinite loop in Tika's MP3Parser up to and including Tika 1.25. Apache Tika users should upgrade to 1.26 or later. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.apache.tika:tika'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.26'}]}], 'database_specific': {'last_known_affected_version_range': '< 1.25'}}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-28657'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r4cbc3f6981cd0a1a482531df9d44e4c42a7f63342a7ba78b7bff8a1b@%3Cnotifications.james.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r915add4aa52c60d1b5cf085039cfa73a98d7fae9673374dfd7744b5a%40%3Cdev.tika.apache.org%3E'}, {'type': 'WEB', 'url': 'https://security.netapp.com/advisory/ntap-20210507-0004/'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuapr2022.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuoct2021.html'}] | {'cwe_ids': ['CWE-400', 'CWE-835'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-01T00:18:03Z', 'nvd_published_at': '2021-03-31T08:15:00Z'} |
1.4.0 | GHSA-7h43-gx24-p529 | 2021-04-19T22:36:51Z | 2021-05-10T19:17:05Z | null | ['CVE-2020-7770'] | Prototype pollution in json8 | This affects the package json8 before 1.0.3. The function adds in the target object the property specified in the path, however it does not properly check the key being set, leading to a prototype pollution. | [{'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': 'json8'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.0.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7770'}, {'type': 'WEB', 'url': 'https://github.com/sonnyp/JSON8/commit/2e890261b66cbc54ae01d0c79c71b0fd18379e7e'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-JSON8-1017116'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/package/json8'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-04-19T22:36:51Z', 'nvd_published_at': '2020-11-12T11:15:00Z'} |
1.4.0 | GHSA-fpm5-vv97-jfwg | 2021-04-15T21:39:07Z | 2021-05-18T01:57:24Z | null | ['CVE-2020-7765'] | Uncontrolled Resource Consumption in firebase | This affects the package @firebase/util before 0.3.4. This vulnerability relates to the deepExtend function within the DeepCopy.ts file. Depending on if user input is provided, an attacker can overwrite and pollute the object prototype of a program. | [{'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': '@firebase/util'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.3.4'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7765'}, {'type': 'WEB', 'url': 'https://github.com/firebase/firebase-js-sdk/pull/4001'}, {'type': 'WEB', 'url': 'https://github.com/firebase/firebase-js-sdk/commit/9cf727fcc3d049551b16ae0698ac33dc2fe45ada'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-FIREBASEUTIL-1038324'}] | {'cwe_ids': ['CWE-400'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-15T21:39:07Z', 'nvd_published_at': '2020-11-16T12:15:00Z'} |
1.4.0 | GHSA-c45w-2wxr-pp53 | 2021-05-18T17:47:11Z | 2021-05-21T14:26:32Z | null | ['CVE-2021-29582'] | Heap OOB read in `tf.raw_ops.Dequantize` | ### Impact
Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data:
```python
import tensorflow as tf
input_tensor=tf.constant(
[75, 75, 75, 75, -6, -9, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\
-10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\
-10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10, -10,\
-10, -10, -10, -10], shape=[5, 10], dtype=tf.int32)
input_tensor=tf.cast(input_tensor, dtype=tf.quint8)
min_range = tf.constant([-10], shape=[1], dtype=tf.float32)
max_range = tf.constant([24, 758, 758, 758, 758], shape=[5], dtype=tf.float32)
tf.raw_ops.Dequantize(
input=input_tensor, min_range=min_range, max_range=max_range, mode='SCALED',
narrow_range=True, axis=0, dtype=tf.dtypes.float32)
```
The [implementation](https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape:
```cc
if (num_slices == 1) {
const float min_range = input_min_tensor.flat<float>()(0);
const float max_range = input_max_tensor.flat<float>()(0);
DequantizeTensor(ctx, input, min_range, max_range, &float_output);
} else {
...
auto min_ranges = input_min_tensor.vec<float>();
auto max_ranges = input_max_tensor.vec<float>();
for (int i = 0; i < num_slices; ++i) {
DequantizeSlice(ctx->eigen_device<Device>(), ctx,
input_tensor.template chip<1>(i), min_ranges(i),
max_ranges(i), output_tensor.template chip<1>(i));
...
}
}
```
### Patches
We have patched the issue in GitHub commit [5899741d0421391ca878da47907b1452f06aaf1b](https://github.com/tensorflow/tensorflow/commit/5899741d0421391ca878da47907b1452f06aaf1b).
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-c45w-2wxr-pp53'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29582'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/5899741d0421391ca878da47907b1452f06aaf1b'}] | {'cwe_ids': ['CWE-125'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T17:47:11Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-8qpm-5c82-rf96 | 2023-08-08T19:54:27Z | 2021-05-06T15:52:02Z | null | ['CVE-2021-20085'] | Prototype Pollution in backbone-query-parameters | Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution') in backbone-query-parameters 0.4.0 allows a malicious user to inject properties into Object.prototype. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'backbone-query-parameters'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.4.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-20085'}, {'type': 'WEB', 'url': 'https://github.com/BlackFan/client-side-prototype-pollution/blob/master/pp/backbone-qp.md'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-26T19:07:16Z', 'nvd_published_at': '2021-04-23T19:15:00Z'} |
1.4.0 | GHSA-gwj5-3vfq-q992 | 2021-05-20T21:07:16Z | 2021-05-21T16:22:16Z | null | [] | Import loops in account imports, nats-server DoS | (This advisory is canonically <https://advisories.nats.io/CVE/CVE-2020-28466.txt>)
## Problem Description
An export/import cycle between accounts could crash the nats-server, after consuming CPU and memory.
This issue was fixed publicly in <https://github.com/nats-io/nats-server/pull/1731> in November 2020.
The need to call this out as a security issue was highlighted by `snyk.io` and we are grateful for their assistance in doing so.
Organizations which run a NATS service providing access to accounts run by untrusted third parties are affected.
See below for an important caveat if running such a service.
## Affected versions
#### 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 PR 1731, commit 2e3c226729
## Impact
The nats-server could be killed, after consuming resources.
## Workaround
The import cycle requires at least two accounts to work; if you have open account sign-up, then restricting new account sign-up might hinder an attacker.
## Solution
Upgrade the nats-server.
## Caveat on NATS with untrusted users
Running a NATS service which is exposed to untrusted users presents a heightened risk.
Any remote execution flaw or equivalent seriousness, or denial-of-service by unauthenticated users, will lead to prompt releases by the NATS maintainers.
Fixes for denial of service issues with no threat of remote execution, when limited to account holders, are likely to just be committed to the main development branch with no special attention.
Those who are running such services are encouraged to build regularly from git. | [{'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/nats-io/nats-server/v2'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.2.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/nats-io/nats-server/security/advisories/GHSA-gwj5-3vfq-q992'}] | {'cwe_ids': ['CWE-400'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-20T21:07:16Z', 'nvd_published_at': None} |
1.4.0 | GHSA-8796-gc9j-63rv | 2021-10-05T16:31:48Z | 2021-05-17T20:51:16Z | null | [] | File upload local preview can run embedded scripts after user interaction | ### Impact
When uploading a file, the local file preview can lead to execution of scripts embedded in the uploaded file, but only after several user interactions to open the preview in a separate tab. This only impacts the local user while in the process of uploading. It cannot be exploited remotely or by other users.
### Patches
This has been fixed by https://github.com/matrix-org/matrix-react-sdk/pull/5981, which is included in 3.21.0.
### Workarounds
There are no known workarounds. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:L/I:L/A:L'}] | [{'package': {'ecosystem': 'npm', 'name': 'matrix-react-sdk'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '3.21.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/matrix-org/matrix-react-sdk/security/advisories/GHSA-8796-gc9j-63rv'}, {'type': 'PACKAGE', 'url': 'https://github.com/matrix-org/matrix-react-sdk'}] | {'cwe_ids': ['CWE-74'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T16:51:38Z', 'nvd_published_at': None} |
1.4.0 | GHSA-r35g-4525-29fq | 2021-05-18T20:54:44Z | 2021-05-21T14:23:58Z | null | ['CVE-2021-29555'] | Division by 0 in `FusedBatchNorm` | ### Impact
An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.FusedBatchNorm`:
```python
import tensorflow as tf
x = tf.constant([], shape=[1, 1, 1, 0], dtype=tf.float32)
scale = tf.constant([], shape=[0], dtype=tf.float32)
offset = tf.constant([], shape=[0], dtype=tf.float32)
mean = tf.constant([], shape=[0], dtype=tf.float32)
variance = tf.constant([], shape=[0], dtype=tf.float32)
epsilon = 0.0
exponential_avg_factor = 0.0
data_format = "NHWC"
is_training = False
tf.raw_ops.FusedBatchNorm(
x=x, scale=scale, offset=offset, mean=mean,
variance=variance, epsilon=epsilon,
exponential_avg_factor=exponential_avg_factor,
data_format=data_format, is_training=is_training)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the `x` tensor:
```cc
const int depth = x.dimension(3);
const int rest_size = size / depth;
```
Since this is controlled by the user, an attacker can trigger a denial of service.
### Patches
We have patched the issue in GitHub commit [1a2a87229d1d61e23a39373777c056161eb4084d](https://github.com/tensorflow/tensorflow/commit/1a2a87229d1d61e23a39373777c056161eb4084d).
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-r35g-4525-29fq'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29555'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/1a2a87229d1d61e23a39373777c056161eb4084d'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T20:54:44Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-grpf-gg7v-5g5h | 2021-05-06T17:14:01Z | 2021-05-07T15:53:31Z | null | ['CVE-2020-13921'] | SQL Injection in Apache SkyWalking | Only when using H2/MySQL/TiDB as Apache SkyWalking storage, there is a SQL injection vulnerability in the wildcard query cases. | [{'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.skywalking:oap-server'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '8.1.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-13921'}, {'type': 'WEB', 'url': 'https://github.com/apache/skywalking/pull/4970'}, {'type': 'WEB', 'url': 'https://github.com/apache/skywalking/commit/fb7912c6bdda06a233f4b3e18e71a87d3e4a8951'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r6f3a934ebc54585d8468151a494c1919dc1ee2cccaf237ec434dbbd6@%3Cdev.skywalking.apache.org%3E'}, {'type': 'WEB', 'url': 'http://www.openwall.com/lists/oss-security/2020/08/05/3'}] | {'cwe_ids': ['CWE-89'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-06T17:14:01Z', 'nvd_published_at': '2020-08-05T14:15:00Z'} |
1.4.0 | GHSA-6xhg-q9c8-rj32 | 2023-09-12T18:18:48Z | 2021-05-18T01:52:54Z | null | ['CVE-2020-7696'] | Credential leak in react-native-fast-image | This affects all versions before version 8.3.0 of package react-native-fast-image. When an image with `source={{uri: "...", headers: { host: "somehost.com", authorization: "..." }}` is loaded, all other subsequent images will use the same headers, this can lead to signing credentials or other session tokens being leaked to other servers. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N'}] | [{'package': {'ecosystem': 'npm', 'name': 'react-native-fast-image'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '8.3.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7696'}, {'type': 'WEB', 'url': 'https://github.com/DylanVann/react-native-fast-image/issues/690'}, {'type': 'WEB', 'url': 'https://github.com/DylanVann/react-native-fast-image/pull/691'}, {'type': 'WEB', 'url': 'https://github.com/DylanVann/react-native-fast-image/commit/4a7cd64f5b0aa40b04d63ccb105ee2b511abe624'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-REACTNATIVEFASTIMAGE-572228'}] | {'cwe_ids': ['CWE-200'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-10T21:06:00Z', 'nvd_published_at': '2020-07-17T10:15:00Z'} |
1.4.0 | GHSA-58qp-5328-v7mh | 2022-08-11T00:22:08Z | 2021-05-04T17:43:36Z | null | ['CVE-2021-29486'] | cumulative-distribution-function Infinite Loop vulnerability | ### Impact
* Apps using this library on improper data may crash or go into an infinite-loop
* In the case of a nodejs server-app using this library to act on invalid non-numeric data, the nodejs server may crash. This may affect other users of this server and/or require the server to be rebooted for proper operation.
* In the case of a browser app using this library to act on invalid non-numeric data, that browser may crash or lock up.
A flaw enabling an infinite-loop was discovered in the code for evaluating the cumulative-distribution-function
of input data. Although the documentation explains that numeric data is required, some users may confuse an array
of strings like ["1","2","3","4","5"] for numeric data [1,2,3,4,5] when it is in fact string data. An infinite loop is possible when the
cumulative-distribution-function is evaluated for a given point when the input data is string data rather than type `number`.
This vulnerability enables an infinite-cpu-loop denial-of-service-attack on any app using npm:cumulative-distribution-function v1.0.3 or earlier if the attacker can supply malformed data to the library. The vulnerability could also manifest if a data source to
be analyzed changes data type from Arrays of number (proper) to Arrays of string (invalid, but undetected by earlier version of the library).
### Patches
Users should upgrade to at least v2.0.0, or the latest version.
Tests for several types of invalid data have been created, and version 2.0.0 has been tested to reject this invalid data by
throwing a `TypeError()` instead of processing it. Developers using this library may wish to adjust their app's code slightly to better tolerate or handle this TypeError. Apps performing proper numeric data validation before sending data to this library should be mostly unaffected by this patch.
### Workarounds
The vulnerability can be mitigated in older versions by ensuring that only finite numeric data of type `Array[number]` or `number` is passed to `cumulative-distribution-function` and its `f(x)` function, respectively.
### For more information
If you have any questions or comments about this advisory:
* Open an issue in the Github repository at https://github.com/DrPaulBrewer/cumulative-distribution-function | [{'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': 'cumulative-distribution-function'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.0.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/DrPaulBrewer/cumulative-distribution-function/security/advisories/GHSA-58qp-5328-v7mh'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29486'}, {'type': 'WEB', 'url': 'https://github.com/DrPaulBrewer/cumulative-distribution-function/issues/7'}, {'type': 'WEB', 'url': 'https://github.com/DrPaulBrewer/cumulative-distribution-function/pull/8'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/package/cumulative-distribution-function'}] | {'cwe_ids': ['CWE-20', 'CWE-835'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-30T17:36:06Z', 'nvd_published_at': '2021-04-30T18:15:00Z'} |
1.4.0 | GHSA-xfxf-qw26-hr33 | 2022-07-05T18:02:04Z | 2021-05-06T15:55:43Z | null | ['CVE-2021-23380'] | Arbitrary command execution in roar-pidusage | This affects all current versions of package roar-pidusage. If attacker-controlled user input is given to the stat function of this package on certain operating systems, 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:H/PR:N/UI:N/S:U/C:L/I:L/A:L'}] | [{'package': {'ecosystem': 'npm', 'name': 'roar-pidusage'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '1.1.7'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-23380'}, {'type': 'PACKAGE', 'url': 'https://github.com/Svjard/pidusage'}, {'type': 'WEB', 'url': 'https://github.com/Svjard/pidusage/blob/772cd2bd675ff7b1244b6fe3d7541692b1b9e42c/lib/stats.js%23L103'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-ROARPIDUSAGE-1078528'}] | {'cwe_ids': ['CWE-77'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-19T16:48:06Z', 'nvd_published_at': '2021-04-18T19:15:00Z'} |
1.4.0 | GHSA-g4h2-gqm3-c9wq | 2021-05-18T22:09:59Z | 2021-05-21T14:23:05Z | null | ['CVE-2021-29539'] | Segfault in tf.raw_ops.ImmutableConst | ### Impact
Calling [`tf.raw_ops.ImmutableConst`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a `dtype` of `tf.resource` or `tf.variant` results in a segfault in the implementation as code assumes that the tensor contents are pure scalars.
```python
>>> import tensorflow as tf
>>> tf.raw_ops.ImmutableConst(dtype=tf.resource, shape=[], memory_region_name="/tmp/test.txt")
...
Segmentation fault
```
### Patches
We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
### Workarounds
If using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument.
### 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-g4h2-gqm3-c9wq'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29539'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/4f663d4b8f0bec1b48da6fa091a7d29609980fa4'}] | {'cwe_ids': ['CWE-681'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T22:09:59Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-h9px-9vqg-222h | 2021-05-18T20:59:57Z | 2021-05-21T14:23:51Z | null | ['CVE-2021-29553'] | Heap OOB in `QuantizeAndDequantizeV3` | ### Impact
An attacker can read data outside of bounds of heap allocated buffer in `tf.raw_ops.QuantizeAndDequantizeV3`:
```python
import tensorflow as tf
tf.raw_ops.QuantizeAndDequantizeV3(
input=[2.5,2.5], input_min=[0,0], input_max=[1,1], num_bits=[30],
signed_input=False, range_given=False, narrow_range=False, axis=3)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/11ff7f80667e6490d7b5174aa6bf5e01886e770f/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L237) does not validate the value of user supplied `axis` attribute before using it to index in the array backing the `input` argument:
```cc
const int depth = (axis_ == -1) ? 1 : input.dim_size(axis_);
```
### Patches
We have patched the issue in GitHub commit [99085e8ff02c3763a0ec2263e44daec416f6a387](https://github.com/tensorflow/tensorflow/commit/99085e8ff02c3763a0ec2263e44daec416f6a387).
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 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-h9px-9vqg-222h'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29553'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/99085e8ff02c3763a0ec2263e44daec416f6a387'}] | {'cwe_ids': ['CWE-125'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T20:59:57Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-4c7m-vv47-7c69 | 2021-05-12T14:55:34Z | 2021-05-18T20:33:05Z | null | ['CVE-2020-14958'] | Insecure Permissions in Gogs | In Gogs 0.11.91, MakeEmailPrimary in models/user_mail.go lacks a "not the owner of the email" check. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'gogs.io/gogs'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.12.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-14958'}, {'type': 'WEB', 'url': 'https://github.com/gogs/gogs/pull/5988'}, {'type': 'WEB', 'url': 'https://github.com/gogs/gogs/commit/82ff0c5852f29daa5f95d965fd50665581e7ea3c'}] | {'cwe_ids': ['CWE-281'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-12T14:55:34Z', 'nvd_published_at': None} |
1.4.0 | GHSA-2vgm-wxr3-6w2j | 2022-04-01T20:23:13Z | 2021-05-07T15:54:23Z | null | ['CVE-2020-13933'] | Authentication bypass in Apache Shiro | Apache Shiro before 1.6.0, when using Apache Shiro, a specially crafted HTTP 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:N/A:N'}] | [{'package': {'ecosystem': 'Maven', 'name': 'org.apache.shiro:shiro-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.6.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-13933'}, {'type': 'PACKAGE', 'url': 'https://github.com/apache/shiro'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r18b45d560d76c4260813c802771cc9678aa651fb8340e09366bfa198@%3Cdev.geode.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r4506cedc401d6b8de83787f8436aac83956e411d66848c84785db46d@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r4c1e1249e9e1acb868db0c80728c13f448d07333da06a0f1603c0a33@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r539f87706094e79c5da0826030384373f0041068936912876856835f%40%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r575301804bfac87a064359cf4b4ae9d514f2d10db7d44120765f4129@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r6ea0224c1971a91dc6ade1f22508119a9c3bd56cef656f0c44bbfabb@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r70098e336d02047ce4d4e69293fe8d558cd68cde06f6430398959bc4@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r70b907ccb306e9391145e2b10f56cc6914a245f91720a17a486c020a@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r8097b81905f2a113ebdf925bcbc6d8c9d6863c807c9ee42e1e7c9293@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r852971e28f54cafa7d325bd7033115c67d613b112a2a1076817390ac@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r9d93dfb5df016b1a71a808486bc8f9fbafebbdbc8533625f91253f1d@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r9ea6d8560d6354d41433ad006069904f0ed083527aa348b5999261a7@%3Cdev.geode.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rb47d88af224e396ee34ffb88ee99fb6d04510de5722cf14b7137e6bc@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rb5edf49cd1451475dbcf53826ba6ef1bb7872dd6493d6112eb0c2bad@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/re25b8317b00a50272a7252c4552cf1a81a97984cc2111ef7728e48e0@%3Cdev.shiro.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.debian.org/debian-lts-announce/2021/08/msg00002.html'}] | {'cwe_ids': ['CWE-287'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T21:37:50Z', 'nvd_published_at': '2020-08-17T21:15:00Z'} |
1.4.0 | GHSA-5pg7-v24c-9rp9 | 2021-04-19T22:11:46Z | 2021-05-18T01:53:46Z | null | ['CVE-2020-28268'] | Prototype pollution in controlled-merge | Prototype pollution vulnerability in 'controlled-merge' versions 1.0.0 through 1.2.0 allows attacker to cause a denial of service and may lead to remote code execution. | [{'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': 'controlled-merge'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.0.0'}, {'fixed': '1.3.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-28268'}, {'type': 'WEB', 'url': 'https://github.com/hlfshell/controlled-merge/commit/5a4b2e9ffe5a0be7f8843d4ab038599d3ae5f9d4'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/package/controlled-merge'}, {'type': 'WEB', 'url': 'https://www.whitesourcesoftware.com/vulnerability-database/CVE-2020-28268'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-19T22:11:46Z', 'nvd_published_at': '2020-11-15T23:15:00Z'} |
1.4.0 | GHSA-8h46-5m9h-7553 | 2021-05-18T23:40:54Z | 2021-05-21T14:20:51Z | null | ['CVE-2021-29514'] | Heap out of bounds write in `RaggedBinCount` | ### Impact
If the `splits` argument of `RaggedBincount` does not specify a valid [`SparseTensor`](https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow:
```python
import tensorflow as tf
tf.raw_ops.RaggedBincount(splits=[7,8], values= [5, 16, 51, 76, 29, 27, 54, 95],\
size= 59, weights= [0, 0, 0, 0, 0, 0, 0, 0],\
binary_output=False)
```
This will cause a read from outside the bounds of the `splits` tensor buffer in the [implementation of the `RaggedBincount` op](https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L446):
```cc
for (int idx = 0; idx < num_values; ++idx) {
while (idx >= splits(batch_idx)) {
batch_idx++;
}
...
if (bin < size) {
if (binary_output_) {
out(batch_idx - 1, bin) = T(1);
} else {
T value = (weights_size > 0) ? weights(idx) : T(1);
out(batch_idx - 1, bin) += value;
}
}
}
```
Before the `for` loop, `batch_idx` is set to 0. The attacker sets `splits(0)` to be 7, hence the `while` loop does not execute and `batch_idx` remains 0. This then results in writing to `out(-1, bin)`, which is before the heap allocated buffer for the output tensor.
### Patches
We have patched the issue in GitHub commit [eebb96c2830d48597d055d247c0e9aebaea94cd5](https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5).
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, as these are also affected.
### 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': '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-8h46-5m9h-7553'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29514'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5'}] | {'cwe_ids': ['CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:40:54Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-36xw-fx78-c5r4 | 2021-05-27T19:46:55Z | 2021-05-24T17:00:22Z | null | ['CVE-2020-15257'] | containerd-shim API Exposed to Host Network Containers | ## Impact
Access controls for the shim’s API socket verified that the connecting process had an effective UID of 0, but did not otherwise restrict access to the abstract Unix domain socket. This would allow malicious containers running in the same network namespace as the shim, with an effective UID of 0 but otherwise reduced privileges, to cause new processes to be run with elevated privileges.
## Patches
This vulnerability has been fixed in containerd 1.3.9 and 1.4.3. Users should update to these versions as soon as they are released. It should be noted that containers started with an old version of containerd-shim should be stopped and restarted, as running containers will continue to be vulnerable even after an upgrade.
## Workarounds
If you are not providing the ability for untrusted users to start containers in the same network namespace as the shim (typically the "host" network namespace, for example with `docker run --net=host` or `hostNetwork: true` in a Kubernetes pod) and run with an effective UID of 0, you are not vulnerable to this issue.
If you are running containers with a vulnerable configuration, you can deny access to all abstract sockets with AppArmor by adding a line similar to `deny unix addr=@**,` to your policy.
It is best practice to run containers with a reduced set of privileges, with a non-zero UID, and with isolated namespaces. The containerd maintainers strongly advise against sharing namespaces with the host. Reducing the set of isolation mechanisms used for a container necessarily increases that container's privilege, regardless of what container runtime is used for running that container.
## Credits
The containerd maintainers would like to thank Jeff Dileo of NCC Group for responsibly disclosing this issue in accordance with the [containerd security policy](https://github.com/containerd/project/blob/master/SECURITY.md) and for reviewing the patch.
## For more information
If you have any questions or comments about this advisory:
* [Open an issue](https://github.com/containerd/containerd/issues/new/choose)
* Email us at security@containerd.io if you think you’ve found a security bug. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/containerd/containerd'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.3.9'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/containerd/containerd'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.4.0'}, {'fixed': '1.4.3'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/containerd/containerd/cmd'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.2.0'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/containerd/containerd/cmd'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.3.0'}, {'fixed': '1.3.9'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/containerd/containerd/cmd'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.4.0'}, {'fixed': '1.4.3'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/containerd/containerd/security/advisories/GHSA-36xw-fx78-c5r4'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-15257'}, {'type': 'WEB', 'url': 'https://github.com/containerd/containerd/commit/4a4bb851f5da563ff6e68a83dc837c7699c469ad'}, {'type': 'WEB', 'url': 'https://github.com/containerd/containerd/releases/tag/v1.4.3'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/LNKXLOLZWO5FMAPX63ZL7JNKTNNT5NQD/'}, {'type': 'WEB', 'url': 'https://research.nccgroup.com/2020/12/10/abstract-shimmer-cve-2020-15257-host-networking-is-root-equivalent-again/'}, {'type': 'WEB', 'url': 'https://security.gentoo.org/glsa/202105-33'}, {'type': 'WEB', 'url': 'https://www.debian.org/security/2021/dsa-4865'}] | {'cwe_ids': ['CWE-669'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T22:13:21Z', 'nvd_published_at': '2020-12-01T03:15:00Z'} |
1.4.0 | GHSA-9534-h433-2rjf | 2021-07-28T18:40:29Z | 2021-05-07T16:28:47Z | null | ['CVE-2019-10808'] | Improperly Controlled Modification of Dynamically-Determined Object Attributes in utilitify | utilitify prior to 1.0.3 allows modification of object properties. The merge method 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:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'utilitify'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.0.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-10808'}, {'type': 'WEB', 'url': 'https://github.com/xcritical-software/utilitify/commit/88d6e27009823338bf319ffb768fe6b08e8ad2d1,'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-UTILITIFY-559497'}] | {'cwe_ids': ['CWE-1321', 'CWE-915'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-03T18:04:07Z', 'nvd_published_at': '2020-03-11T23:15:00Z'} |
1.4.0 | GHSA-qrmm-w4v4-q7f8 | 2021-05-05T18:45:36Z | 2021-05-06T15:27:22Z | null | [] | Unauthorized access through URL manipulation | ### Impact
The vulnerability allows attackers to gain unauthorized access to information on the system through URL manipulation.
### Patches
The vulnerability has been patched in version 1.2.65 of the `master` branch, version 1.1.113 of the 1.1.x series, and version 1.0.12 of the `stable` branch. The Docker image on docker.io has been patched.
### Workarounds
If upgrading is not possible, manually apply the changes of https://github.com/jhpyle/docassemble/commit/e3dbf6ce054b3c0310996f0657289f5eed0a73fe and restart the server (e.g., by pressing Save on the Configuration screen).
### Credit
The vulnerability was discovered by Jim Platania of Seiso LLC (@jimmio).
### For more information
If you have any questions or comments about this advisory:
* Open an issue in [docassemble](https://github.com/jhpyle/docassemble/issues)
* Join the [Slack channel](https://join.slack.com/t/docassemble/shared_invite/zt-ohrn8y9z-_Fb3RAl~JPBU6Km7odBPfQ)
* Email us at [jhpyle@gmail.com](mailto:jhpyle@gmail.com)
| [] | [{'package': {'ecosystem': 'PyPI', 'name': 'docassemble'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.2.65'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/jhpyle/docassemble/security/advisories/GHSA-qrmm-w4v4-q7f8'}] | {'cwe_ids': ['CWE-552'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T18:45:36Z', 'nvd_published_at': None} |
1.4.0 | GHSA-w8qv-6jwh-64r5 | 2021-05-20T22:03:36Z | 2021-05-24T19:52:40Z | null | ['CVE-2021-23364'] | Regular Expression Denial of Service in browserslist | The package browserslist from 4.0.0 and before 4.16.5 are vulnerable to Regular Expression Denial of Service (ReDoS) during parsing of queries. | [{'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': 'browserslist'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '4.0.0'}, {'fixed': '4.16.5'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-23364'}, {'type': 'WEB', 'url': 'https://github.com/browserslist/browserslist/pull/593'}, {'type': 'WEB', 'url': 'https://github.com/browserslist/browserslist/commit/c091916910dfe0b5fd61caad96083c6709b02d98'}, {'type': 'WEB', 'url': 'https://github.com/browserslist/browserslist/blob/e82f32d1d4100d6bc79ea0b6b6a2d281a561e33c/index.js%23L472-L474'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1277182'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-BROWSERSLIST-1090194'}] | {'cwe_ids': ['CWE-1333', 'CWE-400'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-20T22:03:36Z', 'nvd_published_at': '2021-04-28T16:15:00Z'} |
1.4.0 | GHSA-g8ww-46x2-2p65 | 2023-08-08T15:37:20Z | 2021-05-05T19:48:21Z | null | ['CVE-2021-22902'] | Denial of Service in Action Dispatch | Impact
------
There is a possible Denial of Service vulnerability in Action Dispatch. Carefully crafted Accept headers can cause the mime type parser in Action Dispatch to do catastrophic backtracking in the regular expression engine.
Releases
--------
The fixed releases are available at the normal locations.
Workarounds
-----------
The following monkey patch placed in an initializer can be used to work around the issue.
```ruby
module Mime
class Type
MIME_REGEXP = /\A(?:\*\/\*|#{MIME_NAME}\/(?:\*|#{MIME_NAME})(?>\s*#{MIME_PARAMETER}\s*)*)\z/
end
end
```
Patches
-------
To aid users who aren't able to upgrade immediately we have provided patches for the two supported release series. They are in git-am format and consist of a single changeset.
* 6-0-Prevent-catastrophic-backtracking-during-mime-parsin.patch - Patch for 6.0 series
* 6-1-Prevent-catastrophic-backtracking-during-mime-parsin.patch - Patch for 6.1 series
Please note that only the 6.1.Z, 6.0.Z, and 5.2.Z series are supported at present. Users of earlier unsupported releases are advised to upgrade as soon as possible as we cannot guarantee the continued availability of security fixes for unsupported releases.
Credits
-------
Thanks to Security Curious <security...@pm.me> for reporting this! | [{'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': 'RubyGems', 'name': 'actionpack'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '6.0.0'}, {'fixed': '6.0.3.7'}]}], 'database_specific': {'last_known_affected_version_range': '<= 6.0.3.6'}}, {'package': {'ecosystem': 'RubyGems', 'name': 'actionpack'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '6.1.0'}, {'fixed': '6.1.3.2'}]}], 'database_specific': {'last_known_affected_version_range': '<= 6.1.3.1'}}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-22902'}, {'type': 'WEB', 'url': 'https://hackerone.com/reports/1138654'}, {'type': 'WEB', 'url': 'https://discuss.rubyonrails.org/t/cve-2021-22902-possible-denial-of-service-vulnerability-in-action-dispatch/77866'}, {'type': 'WEB', 'url': 'https://github.com/rails/rails/releases/tag/v6.0.3.7'}, {'type': 'WEB', 'url': 'https://github.com/rails/rails/releases/tag/v6.1.3.2'}, {'type': 'WEB', 'url': 'https://github.com/rubysec/ruby-advisory-db/blob/master/gems/actionpack/CVE-2021-22902.yml'}, {'type': 'WEB', 'url': 'https://groups.google.com/g/rubyonrails-security/c/_5ID_ld9u1c'}] | {'cwe_ids': ['CWE-400'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T19:47:37Z', 'nvd_published_at': '2021-06-11T16:15:00Z'} |
1.4.0 | GHSA-jjr8-m8g8-p6wv | 2021-05-18T16:32:31Z | 2021-05-21T14:26:58Z | null | ['CVE-2021-29592'] | Null pointer dereference in TFLite's `Reshape` operator | ### Impact
The fix for [CVE-2020-15209](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15209) missed the case when the target shape of `Reshape` operator is given by the elements of a 1-D tensor. As such, the [fix for the vulnerability](https://github.com/tensorflow/tensorflow/blob/9c1dc920d8ffb4893d6c9d27d1f039607b326743/tensorflow/lite/core/subgraph.cc#L1062-L1074) allowed passing a null-buffer-backed tensor with a 1D shape:
```cc
if (tensor->data.raw == nullptr && tensor->bytes > 0) {
if (registration.builtin_code == kTfLiteBuiltinReshape && i == 1) {
// In general, having a tensor here with no buffer will be an error.
// However, for the reshape operator, the second input tensor is only
// used for the shape, not for the data. Thus, null buffer is ok.
continue;
} else {
// In all other cases, we need to return an error as otherwise we will
// trigger a null pointer dereference (likely).
ReportError("Input tensor %d lacks data", tensor_index);
return kTfLiteError;
}
}
```
### Patches
We have patched the issue in GitHub commit [f8378920345f4f4604202d4ab15ef64b2aceaa16](https://github.com/tensorflow/tensorflow/commit/f8378920345f4f4604202d4ab15ef64b2aceaa16).
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:L/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'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jjr8-m8g8-p6wv'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29592'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/f8378920345f4f4604202d4ab15ef64b2aceaa16'}] | {'cwe_ids': ['CWE-476'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T16:32:31Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-h59f-p56g-g75v | 2021-04-05T20:39:08Z | 2021-05-06T18:53:02Z | null | ['CVE-2020-35700'] | SQL Injection in librenms | A second-order SQL injection issue in Widgets/TopDevicesController.php (aka the Top Devices dashboard widget) of LibreNMS before 21.1.0 allows remote authenticated attackers to execute arbitrary SQL commands via the sort_order parameter against the /ajax/form/widget-settings endpoint. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'Packagist', 'name': 'librenms/librenms'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '21.1.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-35700'}, {'type': 'WEB', 'url': 'https://github.com/librenms/librenms/issues/12405'}, {'type': 'WEB', 'url': 'https://github.com/librenms/librenms/pull/12422'}, {'type': 'WEB', 'url': 'https://github.com/librenms/librenms/blob/master/app/Http/Controllers/Widgets/TopDevicesController.php'}, {'type': 'WEB', 'url': 'https://github.com/librenms/librenms/releases/tag/21.1.0'}, {'type': 'WEB', 'url': 'https://www.horizon3.ai/disclosures/librenms-second-order-sqli'}] | {'cwe_ids': ['CWE-89'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-05T20:39:08Z', 'nvd_published_at': '2021-02-08T09:15:00Z'} |
1.4.0 | GHSA-fw2f-7f87-5r6c | 2021-07-29T18:14:19Z | 2021-05-17T21:00:29Z | null | ['CVE-2020-7674'] | Improper Input Validation in access-policy | access-policy through 3.1.0 is vulnerable to Arbitrary Code Execution. User input provided to the `template` function 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': 'access-policy'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '3.1.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7674'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-ACCESSPOLICY-571490'}] | {'cwe_ids': ['CWE-94'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-13T17:15:59Z', 'nvd_published_at': '2020-06-10T16:15:00Z'} |
1.4.0 | GHSA-q8q8-93cv-v6h8 | 2021-05-24T21:15:16Z | 2021-05-27T18:44:56Z | null | ['CVE-2020-11013'] | Lookup function information discolosure in helm | The Helm core maintainers have identified an information disclosure vulnerability in Helm 3.0.0-3.1.2.
### Impact
`lookup` is a Helm template function introduced in Helm v3. It is able to lookup resources in the cluster to check for the existence of specific resources and get details about them. This can be used as part of the process to render templates.
The documented behavior of `helm template` states that it does not attach to a remote cluster. However, as the recently added `lookup` template function circumvents this restriction and connects to the cluster even during `helm template` and `helm install|update|delete|rollback --dry-run`. The user is not notified of this behavior.
Running `helm template` should not make calls to a cluster. This is different from `install`, which is presumed to have access to a cluster in order to load resources into Kubernetes. Helm 2 is unaffected by this vulnerability.
A malicious chart author could inject a `lookup` into a chart that, when rendered through `helm template`, performs unannounced lookups against the cluster a user's `KUBECONFIG` file points to. This information can then be disclosed via the output of `helm template`.
### Patches
This issue has been fixed in Helm 3.2.0
### Workarounds
Due to another bug (also fixed in Helm 3.2.0), the command `helm lint` will fail with an error if the `lookup` function is used in a chart. Therefore, run `helm lint` on an untrusted chart before running `helm template`.
Alternately, setting the `KUBECONFIG` environment variable to point to an empty Kubernetes configuration file will prevent unintended network connections.
Finally, a chart may be manually analyzed for the presence of a `lookup` function in any file in the `templates/` directory.
### For more information
If you have any questions or comments about this advisory:
* Open an issue in [the Helm repository](https://github.com/helm/helm/issues)
* For security-specific issues, email us at [cncf-helm-security@lists.cncf.io](mailto:cncf-helm-security@lists.cncf.io) | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'helm.sh/helm/v3'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '3.0.0'}, {'fixed': '3.1.3'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/helm/helm/security/advisories/GHSA-q8q8-93cv-v6h8'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-11013'}, {'type': 'WEB', 'url': 'https://github.com/helm/helm/pull/7969'}, {'type': 'WEB', 'url': 'https://github.com/helm/helm/pull/7969/commits/c67b644a791a8fa61c760a3a0474533e63e74008'}, {'type': 'WEB', 'url': 'https://github.com/helm/helm/releases/tag/v3.2.0'}] | {'cwe_ids': ['CWE-200'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-24T21:15:16Z', 'nvd_published_at': None} |
1.4.0 | GHSA-4fg4-p75j-w5xj | 2021-05-18T21:42:27Z | 2021-05-21T14:23:31Z | null | ['CVE-2021-29547'] | Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization` | ### Impact
An attacker can cause a segfault and denial of service via accessing data outside of bounds in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`:
```python
import tensorflow as tf
t = tf.constant([1], shape=[1, 1, 1, 1], dtype=tf.quint8)
t_min = tf.constant([], shape=[0], dtype=tf.float32)
t_max = tf.constant([], shape=[0], dtype=tf.float32)
m = tf.constant([1], shape=[1], dtype=tf.quint8)
m_min = tf.constant([], shape=[0], dtype=tf.float32)
m_max = tf.constant([], shape=[0], dtype=tf.float32)
v = tf.constant([1], shape=[1], dtype=tf.quint8)
v_min = tf.constant([], shape=[0], dtype=tf.float32)
v_max = tf.constant([], shape=[0], dtype=tf.float32)
beta = tf.constant([1], shape=[1], dtype=tf.quint8)
beta_min = tf.constant([], shape=[0], dtype=tf.float32)
beta_max = tf.constant([], shape=[0], dtype=tf.float32)
gamma = tf.constant([1], shape=[1], dtype=tf.quint8)
gamma_min = tf.constant([], shape=[0], dtype=tf.float32)
gamma_max = tf.constant([], shape=[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#L176-L189) assumes the inputs are not empty:
```cc
const float input_min = context->input(1).flat<float>()(0);
const float input_max = context->input(2).flat<float>()(0);
...
const float mean_min = context->input(4).flat<float>()(0);
const float mean_max = context->input(5).flat<float>()(0);
...
const float var_min = context->input(7).flat<float>()(0);
const float var_max = context->input(8).flat<float>()(0);
...
const float beta_min = context->input(10).flat<float>()(0);
const float beta_max = context->input(11).flat<float>()(0);
...
const float gamma_min = context->input(13).flat<float>()(0);
const float gamma_max = context->input(14).flat<float>()(0);
```
If any of these inputs is empty, `.flat<T>()` is an empty buffer, so accessing the element at index 0 is accessing data outside of bounds.
### 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-4fg4-p75j-w5xj'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29547'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b'}] | {'cwe_ids': ['CWE-125'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T21:42:27Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-77xq-cpvg-7xm2 | 2023-09-05T22:45:47Z | 2021-05-10T19:07:56Z | null | ['CVE-2020-7748'] | Prototype pollution in @tsed/core | This affects the package @tsed/core before 5.65.7. This vulnerability relates to the `deepExtend` function which is used as part of the utils directory. Depending on if user input is provided, an attacker can overwrite and pollute the object prototype of a program. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L'}] | [{'package': {'ecosystem': 'npm', 'name': '@tsed/core'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '5.65.7'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7748'}, {'type': 'WEB', 'url': 'https://github.com/TypedProject/tsed/commit/1395773ddac35926cf058fc6da9fb8e82266761b'}, {'type': 'WEB', 'url': 'https://github.com/TypedProject/tsed/blob/production/packages/core/src/utils/deepExtends.ts%23L36'}, {'type': 'PACKAGE', 'url': 'https://github.com/tsedio/tsed'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-TSEDCORE-1019382'}] | {'cwe_ids': ['CWE-1321', 'CWE-915'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-20T17:41:36Z', 'nvd_published_at': '2020-10-20T11:15:00Z'} |
1.4.0 | GHSA-58pf-pcwv-qg85 | 2022-08-02T18:03:17Z | 2021-05-18T21:08:28Z | null | ['CVE-2020-7665'] | Path traversal in u-root | This affects all versions of package github.com/u-root/u-root/pkg/uzip. It is vulnerable to both leading and non-leading relative path traversal attacks in zip 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'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.9.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7665'}, {'type': 'WEB', 'url': 'https://github.com/u-root/u-root/pull/1817'}, {'type': 'WEB', 'url': 'https://github.com/u-root/u-root/pull/2344'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-GOLANG-GITHUBCOMUROOTUROOTPKGUZIP-570441'}] | {'cwe_ids': ['CWE-22'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T20:51:25Z', 'nvd_published_at': None} |
1.4.0 | GHSA-xc3p-ff3m-f46v | 2023-08-31T16:42:28Z | 2021-05-06T18:51:48Z | null | ['CVE-2020-25032'] | Flask-Cors Directory Traversal vulnerability | An issue was discovered in Flask-CORS (aka CORS Middleware for Flask) before 3.0.9. It allows `../` directory traversal to access private resources because resource matching does not ensure that pathnames are in a canonical format. | [{'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': 'PyPI', 'name': 'Flask-Cors'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '3.0.9'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-25032'}, {'type': 'WEB', 'url': 'https://github.com/corydolphin/flask-cors/commit/67c4b2cc98ae87cf1fa7df4f97fd81b40c79b895'}, {'type': 'PACKAGE', 'url': 'https://github.com/corydolphin/flask-cors'}, {'type': 'WEB', 'url': 'https://github.com/corydolphin/flask-cors/releases/tag/3.0.9'}, {'type': 'WEB', 'url': 'https://www.debian.org/security/2020/dsa-4775'}, {'type': 'WEB', 'url': 'http://lists.opensuse.org/opensuse-security-announce/2020-09/msg00028.html'}, {'type': 'WEB', 'url': 'http://lists.opensuse.org/opensuse-security-announce/2020-09/msg00032.html'}, {'type': 'WEB', 'url': 'http://lists.opensuse.org/opensuse-security-announce/2020-09/msg00039.html'}, {'type': 'WEB', 'url': 'http://lists.opensuse.org/opensuse-security-announce/2020-09/msg00048.html'}] | {'cwe_ids': ['CWE-22'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T19:30:23Z', 'nvd_published_at': '2020-08-31T04:15:00Z'} |
1.4.0 | GHSA-vpx7-vm66-qx8r | 2022-01-04T19:33:01Z | 2021-05-18T20:31:06Z | null | ['CVE-2020-7664'] | Path Traversal in github.com/unknwon/cae/zip | The ExtractTo function doesn't securely escape file paths in zip archives which include leading or non-leading "..". This allows an attacker to add or replace files system-wide. | [{'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/unknwon/cae/zip'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.0.1'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/unknwon/cae'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.0.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7664'}, {'type': 'WEB', 'url': 'https://github.com/unknwon/cae/commit/07971c00a1bfd9dc171c3ad0bfab5b67c2287e11'}, {'type': 'PACKAGE', 'url': 'https://github.com/unknwon/cae/'}, {'type': 'WEB', 'url': 'https://pkg.go.dev/vuln/GO-2021-0228'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-GOLANG-GITHUBCOMUNKNWONCAEZIP-570383'}] | {'cwe_ids': ['CWE-22'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-12T20:27:31Z', 'nvd_published_at': '2020-06-23T19:38:00Z'} |
1.4.0 | GHSA-6g85-3hm8-83f9 | 2021-05-18T21:50:36Z | 2021-05-21T14:23:22Z | null | ['CVE-2021-29544'] | CHECK-fail in `QuantizeAndDequantizeV4Grad` | ### Impact
An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.QuantizeAndDequantizeV4Grad`:
```python
import tensorflow as tf
gradient_tensor = tf.constant([0.0], shape=[1])
input_tensor = tf.constant([0.0], shape=[1])
input_min = tf.constant([[0.0]], shape=[1, 1])
input_max = tf.constant([[0.0]], shape=[1, 1])
tf.raw_ops.QuantizeAndDequantizeV4Grad(
gradients=gradient_tensor, input=input_tensor,
input_min=input_min, input_max=input_max, axis=0)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L162-L163) does not validate the rank of the `input_*` tensors. In turn, this results in the tensors being passes as they are to [`QuantizeAndDequantizePerChannelGradientImpl`](https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.h#L295-L306):
```cc
template <typename Device, typename T>
struct QuantizeAndDequantizePerChannelGradientImpl {
static void Compute(const Device& d,
typename TTypes<T, 3>::ConstTensor gradient,
typename TTypes<T, 3>::ConstTensor input,
const Tensor* input_min_tensor,
const Tensor* input_max_tensor,
typename TTypes<T, 3>::Tensor input_backprop,
typename TTypes<T>::Flat input_min_backprop,
typename TTypes<T>::Flat input_max_backprop) {
...
auto input_min = input_min_tensor->vec<T>();
auto input_max = input_max_tensor->vec<T>();
...
}
```
However, the `vec<T>` method, requires the rank to 1 and triggers a `CHECK` failure otherwise.
### Patches
We have patched the issue in GitHub commit [20431e9044cf2ad3c0323c34888b192f3289af6b](https://github.com/tensorflow/tensorflow/commit/20431e9044cf2ad3c0323c34888b192f3289af6b).
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.
### 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': '2.4.0'}, {'fixed': '2.4.2'}]}]}, {'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': '2.4.0'}, {'fixed': '2.4.2'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6g85-3hm8-83f9'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29544'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/20431e9044cf2ad3c0323c34888b192f3289af6b'}] | {'cwe_ids': ['CWE-754'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T21:50:36Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-gh78-48h3-frjq | 2022-07-11T19:22:01Z | 2021-05-06T18:10:46Z | null | ['CVE-2020-13410'] | Improper exception handling in Aedes | An issue was discovered in MoscaJS Aedes 0.42.0 and fixed in 0.42.1. lib/write.js does not properly consider exceptions during the writing of an invalid packet to a stream. | [{'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': 'aedes'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.42.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-13410'}, {'type': 'WEB', 'url': 'https://github.com/moscajs/aedes/pull/493'}, {'type': 'WEB', 'url': 'https://github.com/moscajs/aedes/commit/8d34ee5819cfc983d57e49b45d8c5ef70a76d79b'}, {'type': 'WEB', 'url': 'https://payatu.com/advisory/dos-in-aedes-mqtt-broker'}] | {'cwe_ids': ['CWE-755'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T20:02:28Z', 'nvd_published_at': '2020-08-26T15:15:00Z'} |
1.4.0 | GHSA-q28m-8xjw-8vr5 | 2023-05-16T16:19:44Z | 2021-05-18T01:27:15Z | null | ['CVE-2021-29509'] | Puma's Keepalive Connections Causing Denial Of Service | This vulnerability is related to [CVE-2019-16770](https://github.com/puma/puma/security/advisories/GHSA-7xx3-m584-x994).
### Impact
The fix for CVE-2019-16770 was incomplete. The original fix only protected existing connections that had already been accepted from having their requests starved by greedy persistent-connections saturating all threads in the same process. However, new connections may still be starved by greedy persistent-connections saturating all threads in all processes in the cluster.
A `puma` server which received more concurrent `keep-alive` connections than the server had threads in its threadpool would service only a subset of connections, denying service to the unserved connections.
### Patches
This problem has been fixed in `puma` 4.3.8 and 5.3.1.
### Workarounds
Setting `queue_requests false` also fixes the issue. This is not advised when using `puma` without a reverse proxy, such as `nginx` or `apache`, because you will open yourself to slow client attacks (e.g. [slowloris](https://en.wikipedia.org/wiki/Slowloris_(computer_security))).
The fix is very small. [A git patch is available here](https://gist.github.com/nateberkopec/4b3ea5676c0d70cbb37c82d54be25837) for those using [unsupported versions](https://github.com/puma/puma/security/policy#supported-versions) of Puma.
### For more information
If you have any questions or comments about this advisory:
* Open an issue in [Puma](https://github.com/puma/puma).
* To report problems with this fix or to report another vulnerability, see [our security policy.](https://github.com/puma/puma/security/policy)
### Acknowledgements
Thank you to @MSP-Greg, @wjordan and @evanphx for their review on this issue.
Thank you to @ioquatix for providing a modified fork of `wrk` which made debugging this issue much easier. | [{'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': 'RubyGems', 'name': 'puma'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '4.3.8'}]}], 'database_specific': {'last_known_affected_version_range': '<= 4.3.7'}}, {'package': {'ecosystem': 'RubyGems', 'name': 'puma'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '5.0.0'}, {'fixed': '5.3.1'}]}], 'database_specific': {'last_known_affected_version_range': '<= 5.3.0'}}] | [{'type': 'WEB', 'url': 'https://github.com/puma/puma/security/advisories/GHSA-q28m-8xjw-8vr5'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29509'}, {'type': 'WEB', 'url': 'https://gist.github.com/nateberkopec/4b3ea5676c0d70cbb37c82d54be25837'}, {'type': 'PACKAGE', 'url': 'https://github.com/puma/puma'}, {'type': 'WEB', 'url': 'https://github.com/puma/puma/security/policy'}, {'type': 'WEB', 'url': 'https://github.com/rubysec/ruby-advisory-db/blob/master/gems/puma/CVE-2021-29509.yml'}, {'type': 'WEB', 'url': 'https://lists.debian.org/debian-lts-announce/2022/08/msg00015.html'}, {'type': 'WEB', 'url': 'https://rubygems.org/gems/puma'}, {'type': 'WEB', 'url': 'https://security.gentoo.org/glsa/202208-28'}] | {'cwe_ids': ['CWE-400'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T01:26:55Z', 'nvd_published_at': '2021-05-11T17:15:00Z'} |
1.4.0 | GHSA-8jmh-c6vr-pmvm | 2021-04-20T17:18:14Z | 2021-05-06T18:53:55Z | null | ['CVE-2020-7759'] | SQL Injection in pimcore | "The package pimcore/pimcore from 6.7.2 and before 6.8.3 are vulnerable to SQL Injection in data classification functionality in ClassificationstoreController. This can be exploited by sending a specifically-crafted input in the relationIds parameter as demonstrated by the following request: http://vulnerable.pimcore.example/admin/classificationstore/relations?relationIds=[{"keyId"%3a"''","groupId"%3a"'asd'))+or+1%3d1+union+(select+1,2,3,4,5,6,name,8,password,'',11,12,'',14+from+users)+--+"}]" | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'Packagist', 'name': 'pimcore/pimcore'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '6.7.2'}, {'fixed': '6.8.3'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7759'}, {'type': 'WEB', 'url': 'https://github.com/pimcore/pimcore/pull/7315'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-PHP-PIMCOREPIMCORE-1017405'}] | {'cwe_ids': ['CWE-89'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-20T17:18:14Z', 'nvd_published_at': '2020-10-30T11:15:00Z'} |
1.4.0 | GHSA-58v3-j75h-xr49 | 2021-05-17T15:26:35Z | 2021-05-18T15:44:30Z | null | ['CVE-2017-18367'] | Improper Input Validation in libseccomp-golang | libseccomp-golang 0.9.0 and earlier incorrectly generates BPFs that OR multiple arguments rather than ANDing them. A process running under a restrictive seccomp filter that specified multiple syscall arguments could bypass intended access restrictions by specifying a single matching argument. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/seccomp/libseccomp-golang'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.9.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2017-18367'}, {'type': 'WEB', 'url': 'https://github.com/seccomp/libseccomp-golang/issues/22'}, {'type': 'WEB', 'url': 'https://github.com/seccomp/libseccomp-golang/commit/06e7a29f36a34b8cf419aeb87b979ee508e58f9e'}, {'type': 'WEB', 'url': 'https://access.redhat.com/errata/RHSA-2019:4087'}, {'type': 'WEB', 'url': 'https://access.redhat.com/errata/RHSA-2019:4090'}, {'type': 'WEB', 'url': 'https://lists.debian.org/debian-lts-announce/2020/08/msg00016.html'}, {'type': 'WEB', 'url': 'https://usn.ubuntu.com/4574-1/'}, {'type': 'WEB', 'url': 'http://www.openwall.com/lists/oss-security/2019/04/25/6'}] | {'cwe_ids': ['CWE-284'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T15:26:35Z', 'nvd_published_at': None} |
1.4.0 | GHSA-5hq2-xf89-9jxq | 2023-08-08T15:56:26Z | 2021-05-05T19:48:29Z | null | ['CVE-2021-22903'] | Possible Open Redirect Vulnerability in Action Pack | There is a possible Open Redirect Vulnerability in Action Pack.
Versions Affected: >= v6.1.0.rc2
Not affected: < v6.1.0.rc2
Fixed Versions: 6.1.3.2
Impact
------
This is similar to CVE-2021-22881. Specially crafted Host headers in combination with certain "allowed host" formats can cause the Host Authorization middleware in Action Pack to redirect users to a malicious
website.
Since rails/rails@9bc7ea5, strings in config.hosts that do not have a leading dot are converted to regular expressions without proper escaping. This causes, for example, config.hosts << "sub.example.com" to permit a request with a Host header value of sub-example.com.
Releases
--------
The fixed releases are available at the normal locations.
Workarounds
-----------
The following monkey patch put in an initializer can be used as a workaround.
```ruby
class ActionDispatch::HostAuthorization::Permissions
def sanitize_string(host)
if host.start_with?(".")
/\A(.+\.)?#{Regexp.escape(host[1..-1])}\z/i
else
/\A#{Regexp.escape host}\z/i
end
end
end
```
Patches
-------
To aid users who aren't able to upgrade immediately we have provided patches for the two supported release series. They are in git-am format and consist of a single changeset.
* 6-1-open-redirect.patch - Patch for 6.1 series
Please note that only the 6.1.Z, 6.0.Z, and 5.2.Z series are supported at present. Users of earlier unsupported releases are advised to upgrade as soon as possible as we cannot guarantee the continued availability of security fixes for unsupported releases.
Credits
-------
Thanks Jonathan Hefner (https://hackerone.com/jonathanhefner) for reporting this bug! | [{'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': 'RubyGems', 'name': 'actionpack'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '6.1.0.rc2'}, {'fixed': '6.1.3.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-22903'}, {'type': 'WEB', 'url': 'https://hackerone.com/reports/1148025'}, {'type': 'WEB', 'url': 'https://discuss.rubyonrails.org/t/cve-2021-22903-possible-open-redirect-vulnerability-in-action-pack/77867'}, {'type': 'WEB', 'url': 'https://github.com/rails/rails/releases/tag/v6.1.3.2'}, {'type': 'WEB', 'url': 'https://github.com/rubysec/ruby-advisory-db/blob/master/gems/actionpack/CVE-2021-22903.yml'}, {'type': 'WEB', 'url': 'https://groups.google.com/g/rubyonrails-security/c/8TxqXEtgSF0'}] | {'cwe_ids': ['CWE-601'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T19:47:50Z', 'nvd_published_at': '2021-06-11T16:15:00Z'} |
1.4.0 | GHSA-mv78-g7wq-mhp4 | 2021-05-18T17:18:34Z | 2021-05-21T14:26:41Z | null | ['CVE-2021-29585'] | Division by zero in padding computation in TFLite | ### Impact
The TFLite computation for size of output after padding, [`ComputeOutSize`](https://github.com/tensorflow/tensorflow/blob/0c9692ae7b1671c983569e5d3de5565843d500cf/tensorflow/lite/kernels/padding.h#L43-L55), does not check that the `stride` argument is not 0 before doing the division.
```cc
inline int ComputeOutSize(TfLitePadding padding, int image_size,
int filter_size, int stride, int dilation_rate = 1) {
int effective_filter_size = (filter_size - 1) * dilation_rate + 1;
switch (padding) {
case kTfLitePaddingSame:
return (image_size + stride - 1) / stride;
case kTfLitePaddingValid:
return (image_size + stride - effective_filter_size) / stride;
default:
return 0;
}
}
```
Users can craft special models such that `ComputeOutSize` is called with `stride` set to 0.
### Patches
We have patched the issue in GitHub commit [49847ae69a4e1a97ae7f2db5e217c77721e37948](https://github.com/tensorflow/tensorflow/commit/49847ae69a4e1a97ae7f2db5e217c77721e37948).
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-mv78-g7wq-mhp4'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29585'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/49847ae69a4e1a97ae7f2db5e217c77721e37948'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T17:18:34Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-v47f-vp3p-5j6h | 2021-04-09T22:17:56Z | 2021-05-06T18:53:46Z | null | ['CVE-2020-29315'] | "Cross-site scripting in ThinkAdmin" | "ThinkAdmin version v6 has a stored XSS vulnerability which allows remote attackers to inject an arbitrary web script or HTML." | [{'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': 'Packagist', 'name': 'zoujingli/thinkadmin'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '6.0.22'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-29315'}, {'type': 'WEB', 'url': 'https://github.com/zoujingli/ThinkAdmin/issues/255'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-09T22:17:56Z', 'nvd_published_at': '2020-12-01T17:15:00Z'} |
1.4.0 | GHSA-rhwp-9vm9-547q | 2022-07-05T17:40:12Z | 2021-05-07T16:06:16Z | null | ['CVE-2021-23377'] | Command Injection in onion-oled-js | This affects all versions up to and including version 0.0.2 of package onion-oled-js. If attacker-controlled user input is given to the scroll 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': 'onion-oled-js'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.0.2'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-23377'}, {'type': 'PACKAGE', 'url': 'https://github.com/naddeoa/onion-oled-js'}, {'type': 'WEB', 'url': 'https://github.com/naddeoa/onion-oled-js/blob/8a523645d2cc29130f98de661b742893773d760d/src/oled-exp.js#23L91'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-ONIONOLEDJS-1078808'}] | {'cwe_ids': ['CWE-77'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-06T22:33:55Z', 'nvd_published_at': '2021-04-18T19:15:00Z'} |
1.4.0 | GHSA-7wpw-2hjm-89gp | 2021-05-04T20:20:28Z | 2021-05-04T20:18:47Z | null | ['CVE-2020-28499'] | Prototype Pollution in merge | All versions of package merge <2.1.1 are vulnerable to Prototype Pollution via _recursiveMerge . | [{'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': 'merge'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-28499'}, {'type': 'WEB', 'url': 'https://github.com/yeikos/js.merge/commit/7b0ddc2701d813f2ba289b32d6a4b9d4cc235fb4'}, {'type': 'WEB', 'url': 'https://github.com/yeikos/js.merge/blob/56ca75b2dd0f2820f1e08a49f62f04bbfb8c5f8f/src/index.ts#L64'}, {'type': 'WEB', 'url': 'https://github.com/yeikos/js.merge/blob/master/src/index.ts%23L64'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1071049'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-MERGE-1042987'}, {'type': 'WEB', 'url': 'https://vuldb.com/?id.170146'}] | {'cwe_ids': ['CWE-915'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-03-18T22:54:25Z', 'nvd_published_at': '2021-02-18T16:15:00Z'} |
1.4.0 | GHSA-2cpx-427x-q2c6 | 2021-05-18T23:20:56Z | 2021-05-21T14:21:43Z | null | ['CVE-2021-29523'] | CHECK-fail in AddManySparseToTensorsMap | ### Impact
An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.AddManySparseToTensorsMap`:
```python
import tensorflow as tf
import numpy as np
sparse_indices = tf.constant(530, shape=[1, 1], dtype=tf.int64)
sparse_values = tf.ones([1], dtype=tf.int64)
shape = tf.Variable(tf.ones([55], dtype=tf.int64))
shape[:8].assign(np.array([855, 901, 429, 892, 892, 852, 93, 96], dtype=np.int64))
tf.raw_ops.AddManySparseToTensorsMap(sparse_indices=sparse_indices,
sparse_values=sparse_values,
sparse_shape=shape)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/kernels/sparse_tensors_map_ops.cc#L257) takes the values specified in `sparse_shape` as dimensions for the output shape:
```cc
TensorShape tensor_input_shape(input_shape->vec<int64>());
```
The [`TensorShape` constructor](https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when [`InitDims`](https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status.
```cc
template <class Shape>
TensorShapeBase<Shape>::TensorShapeBase(gtl::ArraySlice<int64> dim_sizes) {
set_tag(REP16);
set_data_type(DT_INVALID);
TF_CHECK_OK(InitDims(dim_sizes));
}
```
In our scenario, this occurs when adding a dimension from the argument results in overflow:
```cc
template <class Shape>
Status TensorShapeBase<Shape>::InitDims(gtl::ArraySlice<int64> dim_sizes) {
...
Status status = Status::OK();
for (int64 s : dim_sizes) {
status.Update(AddDimWithStatus(internal::SubtleMustCopy(s)));
if (!status.ok()) {
return status;
}
}
}
template <class Shape>
Status TensorShapeBase<Shape>::AddDimWithStatus(int64 size) {
...
int64 new_num_elements;
if (kIsPartial && (num_elements() < 0 || size < 0)) {
new_num_elements = -1;
} else {
new_num_elements = MultiplyWithoutOverflow(num_elements(), size);
if (TF_PREDICT_FALSE(new_num_elements < 0)) {
return errors::Internal("Encountered overflow when multiplying ",
num_elements(), " with ", size,
", result: ", new_num_elements);
}
}
...
}
```
This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows.
### Patches
We have patched the issue in GitHub commit [69c68ecbb24dff3fa0e46da0d16c821a2dd22d7c](https://github.com/tensorflow/tensorflow/commit/69c68ecbb24dff3fa0e46da0d16c821a2dd22d7c).
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-2cpx-427x-q2c6'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29523'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/69c68ecbb24dff3fa0e46da0d16c821a2dd22d7c'}] | {'cwe_ids': ['CWE-190'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:20:56Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-fmrr-mx6j-h3h5 | 2021-05-05T18:50:23Z | 2021-05-06T18:12:09Z | null | ['CVE-2020-7714'] | Prototype Pollution in confucious | All versions of package confucious up to and including version 0.0.12 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:H/I:H/A:H'}] | [{'package': {'ecosystem': 'npm', 'name': 'confucious'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.0.12'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7714'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-CONFUCIOUS-598665'}] | {'cwe_ids': ['CWE-1321'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T18:50:23Z', 'nvd_published_at': '2020-09-01T10:15:00Z'} |
1.4.0 | GHSA-pvrc-hg3f-58r6 | 2021-05-18T19:22:37Z | 2021-05-21T14:25:13Z | null | ['CVE-2021-29566'] | Heap OOB access in `Dilation2DBackpropInput` | ### Impact
An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput`:
```python
import tensorflow as tf
input_tensor = tf.constant([1.1] * 81, shape=[3, 3, 3, 3], dtype=tf.float32)
filter = tf.constant([], shape=[0, 0, 3], dtype=tf.float32)
out_backprop = tf.constant([1.1] * 1062, shape=[3, 2, 59, 3], dtype=tf.float32)
tf.raw_ops.Dilation2DBackpropInput(
input=input_tensor, filter=filter, out_backprop=out_backprop,
strides=[1, 40, 1, 1], rates=[1, 56, 56, 1], padding='VALID')
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array.
```cc
in_backprop(b, h_in_max, w_in_max, d) += out_backprop(b, h_out, w_out, d);
```
The values for `h_out` and `w_out` are guaranteed to be in range for `out_backprop` (as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating `h_in_max`/`w_in_max` and `in_backprop`.
### Patches
We have patched the issue in GitHub commit [3f6fe4dfef6f57e768260b48166c27d148f3015f](https://github.com/tensorflow/tensorflow/commit/3f6fe4dfef6f57e768260b48166c27d148f3015f).
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-pvrc-hg3f-58r6'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29566'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/3f6fe4dfef6f57e768260b48166c27d148f3015f'}] | {'cwe_ids': ['CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T19:22:37Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-3qxp-qjq7-w4hf | 2021-05-18T23:00:53Z | 2021-05-21T14:22:13Z | null | ['CVE-2021-29531'] | CHECK-fail in tf.raw_ops.EncodePng | ### Impact
An attacker can trigger a `CHECK` fail in PNG encoding by providing an empty input tensor as the pixel data:
```python
import tensorflow as tf
image = tf.zeros([0, 0, 3])
image = tf.cast(image, dtype=tf.uint8)
tf.raw_ops.EncodePng(image=image)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L57-L60) only validates that the total number of pixels in the image does not overflow. Thus, an attacker can send an empty matrix for encoding. However, if the tensor is empty, then the associated buffer is `nullptr`. Hence, when [calling `png::WriteImageToBuffer`](https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L79-L93), the first argument (i.e., `image.flat<T>().data()`) is `NULL`. This then triggers the `CHECK_NOTNULL` in the [first line of `png::WriteImageToBuffer`](https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/lib/png/png_io.cc#L345-L349).
```cc
template <typename T>
bool WriteImageToBuffer(
const void* image, int width, int height, int row_bytes, int num_channels,
int channel_bits, int compression, T* png_string,
const std::vector<std::pair<std::string, std::string> >* metadata) {
CHECK_NOTNULL(image);
...
}
```
Since `image` is null, this results in `abort` being called after printing the stacktrace. Effectively, this allows an attacker to mount a denial of service attack.
### Patches
We have patched the issue in GitHub commit [26eb323554ffccd173e8a79a8c05c15b685ae4d1](https://github.com/tensorflow/tensorflow/commit/26eb323554ffccd173e8a79a8c05c15b685ae4d1).
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-3qxp-qjq7-w4hf'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29531'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/26eb323554ffccd173e8a79a8c05c15b685ae4d1'}] | {'cwe_ids': ['CWE-754'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T23:00:53Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-rv7p-mmwq-x674 | 2021-04-20T22:13:23Z | 2021-05-10T18:46:58Z | null | ['CVE-2020-8132'] | Improper Input Validation and Code Injection in pdf-image | Lack of input validation in pdf-image npm package version <= 2.0.0 may allow an attacker to run arbitrary code if PDF file path is constructed based on untrusted user input. | [{'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': 'pdf-image'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '2.0.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-8132'}, {'type': 'WEB', 'url': 'https://hackerone.com/reports/781664'}] | {'cwe_ids': ['CWE-20', 'CWE-94'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-20T22:13:23Z', 'nvd_published_at': '2020-02-28T20:15:00Z'} |
1.4.0 | GHSA-gvm4-h8j3-rjrq | 2021-05-18T20:18:41Z | 2021-05-21T14:24:59Z | null | ['CVE-2021-29561'] | CHECK-fail in `LoadAndRemapMatrix` | ### Impact
An attacker can cause a denial of service by exploiting a `CHECK`-failure coming from `tf.raw_ops.LoadAndRemapMatrix`:
```python
import tensorflow as tf
ckpt_path = tf.constant([], shape=[0], dtype=tf.string)
old_tensor_name = tf.constant("")
row_remapping = tf.constant([], shape=[0], dtype=tf.int64)
col_remapping = tf.constant([1], shape=[1], dtype=tf.int64)
initializing_values = tf.constant(1.0)
tf.raw_ops.LoadAndRemapMatrix(
ckpt_path=ckpt_path, old_tensor_name=old_tensor_name,
row_remapping=row_remapping, col_remapping=col_remapping,
initializing_values=initializing_values, num_rows=0, num_cols=1)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) assumes that the `ckpt_path` is always a valid scalar.
```cc
const string& ckpt_path = ckpt_path_t->scalar<tstring>()();
```
However, an attacker can send any other tensor as the first argument of `LoadAndRemapMatrix`. This would cause the rank `CHECK` in `scalar<T>()()` to trigger and terminate the process.
### Patches
We have patched the issue in GitHub commit [77dd114513d7796e1e2b8aece214a380af26fbf4](https://github.com/tensorflow/tensorflow/commit/77dd114513d7796e1e2b8aece214a380af26fbf4).
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-gvm4-h8j3-rjrq'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29561'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/77dd114513d7796e1e2b8aece214a380af26fbf4'}] | {'cwe_ids': ['CWE-617'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T20:18:41Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-grfp-q2mm-hfp6 | 2021-11-19T14:43:47Z | 2021-05-24T17:00:05Z | null | ['CVE-2020-15234'] | Redirect URL matching ignores character casing | ### Impact
Before version v0.34.1, the OAuth 2.0 Client's registered redirect URLs and the redirect URL provided at the OAuth2 Authorization Endpoint where compared using `strings.ToLower` while they should have been compared with a simple string match:
1. Registering a client with allowed redirect URL `https://example.com/callback`
2. Performing OAuth2 flow and requesting redirect URL `https://example.com/CALLBACK`
3. Instead of an error (invalid redirect URL), the browser is redirected to `https://example.com/CALLBACK` with a potentially successful OAuth2 response, depending on the state of the overall OAuth2 flow (the user might still deny the request for example). | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:U/C:H/I:H/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/ory/fosite'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.34.1'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/ory/fosite/security/advisories/GHSA-grfp-q2mm-hfp6'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-15234'}, {'type': 'WEB', 'url': 'https://github.com/ory/fosite/commit/cdee51ebe721bfc8acca0fd0b86b030ca70867bf'}, {'type': 'PACKAGE', 'url': 'https://github.com/ory/fosite'}] | {'cwe_ids': ['CWE-178', 'CWE-20', 'CWE-601'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T22:15:37Z', 'nvd_published_at': '2020-10-02T21:15:00Z'} |
1.4.0 | GHSA-7mqr-2v3q-v2wm | 2023-02-14T00:21:03Z | 2021-05-24T16:57:39Z | null | ['CVE-2020-15223'] | Ory fosite contains Improper Handling of Exceptional Conditions | ### Impact
The `TokenRevocationHandler` ignores errors coming from the storage. This can lead to unexpected 200 status codes indicating successful revocation while the token is still valid. Whether an attacker can use this for her advantage depends on the ability to trigger errors in the store.
### References
[RFC 7009](https://tools.ietf.org/html/rfc7009#section-2.2.1) states that a 503 HTTP code must be returned when the server has a problem. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/ory/fosite'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.34.0'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/ory/fosite/security/advisories/GHSA-7mqr-2v3q-v2wm'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-15223'}, {'type': 'WEB', 'url': 'https://github.com/ory/fosite/commit/03dd55813f5521985f7dd64277b7ba0cf1441319'}, {'type': 'WEB', 'url': 'https://pkg.go.dev/vuln/GO-2021-0109'}, {'type': 'WEB', 'url': 'https://tools.ietf.org/html/rfc7009#section-2.2.1'}] | {'cwe_ids': ['CWE-754', 'CWE-755'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-24T12:53:07Z', 'nvd_published_at': '2020-09-24T17:15:00Z'} |
1.4.0 | GHSA-rqjq-mrgx-85hp | 2021-07-29T18:19:34Z | 2021-05-18T18:21:35Z | null | ['CVE-2020-13250'] | Allocation of Resources Without Limits or Throttling in Hashicorp Consul | HashiCorp Consul and Consul Enterprise include an HTTP API (introduced in 1.2.0) and DNS (introduced in 1.4.3) caching feature that was vulnerable to denial of service. Fixed in 1.6.6 and 1.7.4. | [{'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/agent/config'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.2.0'}, {'fixed': '1.6.6'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/hashicorp/consul/agent/config'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.7.0'}, {'fixed': '1.7.4'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-13250'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/consul/pull/8023'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/consul/commit/72f92ae7ca4cabc1dc3069362a9b64ef46941432'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/consul/blob/v1.6.6/CHANGELOG.md'}, {'type': 'WEB', 'url': 'https://github.com/hashicorp/consul/blob/v1.7.4/CHANGELOG.md'}] | {'cwe_ids': ['CWE-770'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-12T22:00:34Z', 'nvd_published_at': '2020-06-11T20:15:00Z'} |
1.4.0 | GHSA-xg2h-wx96-xgxr | 2022-06-29T12:33:51Z | 2021-05-21T16:26:06Z | null | [] | RandomAlphaNumeric and CryptoRandomAlphaNumeric are not as random as they should be | ### Impact
A security-sensitive bug was discovered by Open Source Developer *Erik Sundell of Sundell Open Source Consulting AB*.
The functions `RandomAlphaNumeric(int)` and `CryptoRandomAlphaNumeric(int)` are not as random as they should be. Small values of `int` in the functions above will return a smaller subset of results than they should. For example, `RandomAlphaNumeric(1)` will always return a digit in the 0-9 range, while `RandomAlphaNumeric(4)` will return around ~7 million of the ~13M possible permutations.
This is considered a security release because programs that rely upon random generators for passwords are at an increased risk of brute force-style password guessing. There is also a higher probability of collision.
The problem was the result of a mistaken regular expression that only accepted random strings if they contained a digit from `[0-9]`. That restriction has been removed.
### Patches
This issue has been corrected in v1.1.1.
### Workarounds
If you cannot upgrade to v1.1.1, you can work around the issue by calling `RandomAlphaNumericCustom(N, true, true)`|`CryptoRandomAlphaNumericCustom(N, true, true)` instead. (Where `N` is the desired length, and `true` is the literal boolean `true`.) | [] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/Masterminds/goutils'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.1.1'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/Masterminds/goutils/security/advisories/GHSA-xg2h-wx96-xgxr'}, {'type': 'WEB', 'url': 'https://github.com/Masterminds/goutils/commit/f1923532a168b8203bfe956d8cd3b17ebece5982'}, {'type': 'WEB', 'url': 'https://github.com/Masterminds/goutils/releases/tag/v1.1.1'}] | {'cwe_ids': [], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T14:36:56Z', 'nvd_published_at': None} |
1.4.0 | GHSA-77gc-fj98-665h | 2023-08-30T10:22:12Z | 2021-05-18T19:15:09Z | null | ['CVE-2016-9122'] | Go JOSE Signature Validation Bypass | Go JOSE before 1.1.0 suffers from multiple signatures exploitation. The go-jose library supports messages with multiple signatures. However, when validating a signed message the API did not indicate which signature was valid, which could potentially lead to confusion. For example, users of the library might mistakenly read protected header values from an attached signature that was different from the one originally validated | [{'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': 'gopkg.in/square/go-jose.v1'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.1.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2016-9122'}, {'type': 'WEB', 'url': 'https://github.com/square/go-jose/pull/111'}, {'type': 'WEB', 'url': 'https://github.com/square/go-jose/commit/2c5656adca9909843c4ff50acf1d2cf8f32da7e6'}, {'type': 'WEB', 'url': 'https://github.com/square/go-jose/commit/789a4c4bd4c118f7564954f441b29c153ccd6a96'}, {'type': 'WEB', 'url': 'https://github.com/square/go-jose/commit/c7581939a3656bb65e89d64da0a52364a33d2507'}, {'type': 'WEB', 'url': 'https://hackerone.com/reports/169629'}, {'type': 'WEB', 'url': 'https://www.openwall.com/lists/oss-security/2016/11/03/1'}, {'type': 'WEB', 'url': 'http://www.openwall.com/lists/oss-security/2016/11/03/1'}] | {'cwe_ids': ['CWE-284'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-12T18:06:40Z', 'nvd_published_at': None} |
1.4.0 | GHSA-q9p8-33wc-h432 | 2022-10-05T17:58:07Z | 2021-05-24T16:58:06Z | null | ['CVE-2020-13794'] | Authenticated users can exploit an enumeration vulnerability in Harbor | ### **Impact**
Hidde Smit from Cyber Eagle has discovered an User Enumeration flaw in Harbor. The issue is present in the "/users" api endpoint. This endpoint is supposed to be restricted to administrators. This restriction is able to be bypassed and information can be obtained via the "search" functionality.
Non-administrator users (such as those created via self-registration) can list all usernames and user IDs by sending a GET request to /api/users/search with parameter "username" and value "_", as follows:
`curl -X GET "https://<host>/api/users/search?username=_" -H "accept: application/json" --user <user>:<password>`
The vulnerability was immediately fixed by the Harbor team and all supported versions were patched. With the patched versions of Harbor, the username is required for search and we have removed the support for querying by email.
### **Patches**
If your product uses the affected releases of Harbor, update to either version 2.1.0 or 2.0.3 to fix this issue immediately
https://github.com/goharbor/harbor/releases/tag/v2.1.0
https://github.com/goharbor/harbor/releases/tag/v2.0.3
### **Workarounds**
There is no workaround for this issue
### **For more information**
If you have any questions or comments about this advisory, contact cncf-harbor-security@lists.cncf.io
View our security policy at https://github.com/goharbor/harbor/security/policy
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13794 | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/goharbor/harbor'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.0.3'}]}]}, {'package': {'ecosystem': 'Go', 'name': 'github.com/goharbor/harbor/src/core/api'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.9.0'}, {'fixed': '2.0.3'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/goharbor/harbor/security/advisories/GHSA-q9p8-33wc-h432'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-13794'}, {'type': 'PACKAGE', 'url': 'https://github.com/goharbor/harbor'}, {'type': 'WEB', 'url': 'https://github.com/goharbor/harbor/releases'}, {'type': 'WEB', 'url': 'https://github.com/goharbor/harbor/releases/tag/v2.0.3'}, {'type': 'WEB', 'url': 'https://github.com/goharbor/harbor/releases/tag/v2.1.0'}, {'type': 'WEB', 'url': 'https://www.cybereagle.io/blog/cve-2020-13794/'}] | {'cwe_ids': ['CWE-862'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-24T12:51:00Z', 'nvd_published_at': '2020-09-30T18:15:00Z'} |
1.4.0 | GHSA-4p4p-www8-8fv9 | 2021-05-18T19:11:12Z | 2021-05-21T14:25:19Z | null | ['CVE-2021-29568'] | Reference binding to null in `ParameterizedTruncatedNormal` | ### Impact
An attacker can trigger undefined behavior by binding to null pointer in `tf.raw_ops.ParameterizedTruncatedNormal`:
```python
import tensorflow as tf
shape = tf.constant([], shape=[0], dtype=tf.int32)
means = tf.constant((1), dtype=tf.float32)
stdevs = tf.constant((1), dtype=tf.float32)
minvals = tf.constant((1), dtype=tf.float32)
maxvals = tf.constant((1), dtype=tf.float32)
tf.raw_ops.ParameterizedTruncatedNormal(
shape=shape, means=means, stdevs=stdevs, minvals=minvals, maxvals=maxvals)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/3f6fe4dfef6f57e768260b48166c27d148f3015f/tensorflow/core/kernels/parameterized_truncated_normal_op.cc#L630) does not validate input arguments before accessing the first element of `shape`:
```cc
int32 num_batches = shape_tensor.flat<int32>()(0);
```
If `shape` argument is empty, then `shape_tensor.flat<T>()` is an empty array.
### Patches
We have patched the issue in GitHub commit [5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8](https://github.com/tensorflow/tensorflow/commit/5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8).
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-4p4p-www8-8fv9'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29568'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/5e52ef5a461570cfb68f3bdbbebfe972cb4e0fd8'}] | {'cwe_ids': ['CWE-476', 'CWE-824'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T19:11:12Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-64gv-3pqv-299h | 2021-05-05T22:31:00Z | 2021-05-07T15:54:15Z | null | ['CVE-2020-11976'] | Exposure of Sensitive Information to an Unauthorized Actor in Apache Wicket | By crafting a special URL it is possible to make Wicket deliver unprocessed HTML templates. This would allow an attacker to see possibly sensitive information inside a HTML template that is usually removed during rendering. Affected are Apache Wicket versions 7.16.0, 8.8.0 and 9.0.0-M5 | [{'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': 'org.apache.wicket:wicket-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '7.17.0'}]}]}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.wicket:wicket-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '8.0.0'}, {'fixed': '8.9.0'}]}]}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.wicket:wicket-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '9.0.0-M1'}, {'fixed': '9.0.0'}]}], 'versions': ['9.0.0-M1']}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.wicket:wicket-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '9.0.0-M2'}, {'fixed': '9.0.0'}]}], 'versions': ['9.0.0-M2']}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.wicket:wicket-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '9.0.0-M3'}, {'fixed': '9.0.0'}]}], 'versions': ['9.0.0-M3']}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.wicket:wicket-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '9.0.0-M4'}, {'fixed': '9.0.0'}]}], 'versions': ['9.0.0-M4']}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.wicket:wicket-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '9.0.0-M5'}, {'fixed': '9.0.0'}]}], 'versions': ['9.0.0-M5']}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-11976'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r05340178680eb6b9d4d40d56b5621dd4ae9715e6f41f12ae2288ec49@%3Cdev.directory.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r104eeefeb1e9da51f7ef79cef0f9ff12e21ef8559b77801e86b21e16%40%3Cusers.wicket.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r982c626dbce5c995223c4a6ddd7685de3592f8d65ba8372da1f3ce19@%3Cdev.directory.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rd0f36b83cc9f28b016ec552f023fb5a59a9ea8db56f2b9dcc6a2f6b7@%3Ccommits.directory.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rd26cae6e30b205e09e4b511d3d962d4f677c0c604f737997ce1b2f22@%3Cdev.directory.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rdec0a43afdca59c10416889e07267f3d2fdf4ab929a6e22a2659b6ff@%3Cdev.directory.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/re4af65851bf69605cfb68be215eba36d4cdc1a90b95fbc894799d923@%3Cdev.directory.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/reb7ea8141c713b5b19eaf34c00f43aaebf5a1c116130f763c42bdad1@%3Cdev.directory.apache.org%3E'}] | {'cwe_ids': ['CWE-200', 'CWE-552'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T22:31:00Z', 'nvd_published_at': '2020-08-11T19:15:00Z'} |
1.4.0 | GHSA-jvf5-q4h5-2jmj | 2021-05-05T21:41:45Z | 2021-05-06T17:28:57Z | null | ['CVE-2020-7701'] | Prototype Pollution in madlib-object-utils | madlib-object-utils before 0.1.7 is vulnerable to Prototype Pollution via setValue. | [{'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': 'madlib-object-utils'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.1.7'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7701'}, {'type': 'WEB', 'url': 'https://github.com/Qwerios/madlib-object-utils/commit/2a8d5be4fddfe46b69fbe25b9ebdff49a54481a8'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-MADLIBOBJECTUTILS-598676'}] | {'cwe_ids': ['CWE-1321', 'CWE-915'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-05T21:41:45Z', 'nvd_published_at': '2020-08-14T15:15:00Z'} |
1.4.0 | GHSA-vcjf-mgcg-jxjq | 2023-03-31T18:24:19Z | 2021-05-07T16:32:17Z | null | ['CVE-2020-9281'] | CKEditor 4.0 vulnerability in the HTML Data Processor | A cross-site scripting (XSS) vulnerability in the HTML Data Processor for CKEditor 4.0 before 4.14.0 allows remote attackers to inject arbitrary web script through a crafted "protected" comment (with the cke_protected syntax). | [{'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': 'ckeditor4'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '4.14.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-9281'}, {'type': 'PACKAGE', 'url': 'https://github.com/ckeditor/ckeditor4'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7OJ4BSS3VEAEXPNSOOUAXX6RDNECGZNO/'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/L322YA73LCV3TO7ORY45WQDAFJVNKXBE/'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/M4HHYQ6N452XTCIROFMJOTYEUWSB6FR4/'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuApr2021.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpujan2021.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpujan2022.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuoct2020.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuoct2021.html'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-23T20:21:13Z', 'nvd_published_at': '2020-03-07T01:15:00Z'} |
1.4.0 | GHSA-x2fc-mxcx-w4mf | 2022-07-05T17:36:48Z | 2021-05-10T18:39:04Z | null | ['CVE-2020-7743'] | Prototype Pollution in mathjs | The package mathjs before 7.5.1 are vulnerable to Prototype Pollution via the deepExtend function that runs upon configuration updates. | [{'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': 'mathjs'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '7.5.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7743'}, {'type': 'WEB', 'url': 'https://github.com/josdejong/mathjs/commit/ecb80514e80bce4e6ec7e71db8ff79954f07c57e'}, {'type': 'WEB', 'url': 'https://github.com/josdejong/mathjs/blob/develop/HISTORY.md#2020-10-10-version-751'}, {'type': 'WEB', 'url': 'https://github.com/josdejong/mathjs/blob/develop/src/utils/object.js%23L82'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARS-1017113'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSBOWER-1017112'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JAVA-ORGWEBJARSNPM-1017111'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-MATHJS-1016401'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/package/mathjs'}] | {'cwe_ids': ['CWE-915'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-04-21T19:47:53Z', 'nvd_published_at': '2020-10-13T10:15:00Z'} |
1.4.0 | GHSA-hfg5-xpvw-c9x4 | 2021-09-01T19:36:12Z | 2021-05-21T19:20:30Z | null | ['CVE-2020-11971'] | Improper Input Validation in Apache Camel | Apache Camel's JMX is vulnerable to Rebind Flaw. Apache Camel users should upgrade to 3.2.0. | [{'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': 'org.apache.camel:camel'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '3.2.0'}]}]}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.camel:camel-core'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '3.2.0'}]}]}, {'package': {'ecosystem': 'Maven', 'name': 'org.apache.camel:camel-management'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '3.2.0'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-11971'}, {'type': 'WEB', 'url': 'https://github.com/apache/camel/commit/b954402272ddcfbb45dc1495520f920e70cc041c'}, {'type': 'WEB', 'url': 'https://camel.apache.org/security/CVE-2020-11971.html'}, {'type': 'PACKAGE', 'url': 'https://github.com/apache/camel'}, {'type': 'WEB', 'url': 'https://issues.apache.org/jira/browse/CAMEL-14811'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r16f4f9019840bc923e25d1b029fb42fe2676c4ba36e54824749a8da9@%3Ccommits.camel.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r3d0ae14ca224e69fb1c653f0a5d9e56370ee12d8896aa4490aeae14a@%3Ccommits.camel.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r45da6abb42a9e6853ec8affdbf591f1db3e90c5288de9d3753124c79@%3Cissues.activemq.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r52a5129df402352adc34d052bab9234c8ef63596306506a89fdc7328@%3Cusers.activemq.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r7968b5086e861da2cf635a7b215e465ce9912d5f16c683b8e56819c4@%3Ccommits.camel.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r8988311eb2481fd8a87e69cf17ffb8dc81bfeba5503021537f72db0a@%3Cissues.activemq.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r938dc2ded68039ab747f6d7a12153862495d4b38107d3ed111994386@%3Cissues.activemq.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/r9dc2505651788ac668299774d9e7af4dc616be2f56fdc684d1170882@%3Cusers.activemq.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rb0033c4e9dade1fdf22493314062364ff477e9a8b417f687dc168468@%3Cissues.activemq.apache.org%3E'}, {'type': 'WEB', 'url': 'https://lists.apache.org/thread.html/rc907a3d385a9c62416d686608e7241c864be8ef2ac16a3bdb0e33649@%3Cissues.activemq.apache.org%3E'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuapr2022.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpujan2021.html'}, {'type': 'WEB', 'url': 'https://www.oracle.com/security-alerts/cpuoct2020.html'}, {'type': 'WEB', 'url': 'http://www.openwall.com/lists/oss-security/2020/05/14/7'}] | {'cwe_ids': ['CWE-20'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-21T18:54:08Z', 'nvd_published_at': '2020-05-14T17:15:00Z'} |
1.4.0 | GHSA-2jx2-76rc-2v7v | 2023-09-18T19:38:35Z | 2021-05-12T18:16:32Z | null | ['CVE-2017-1000056'] | Kubernetes Privilege Escalation | Kubernetes version 1.5.0-1.5.4 is vulnerable to a privilege escalation in the PodSecurityPolicy admission plugin resulting in the ability to make use of any existing PodSecurityPolicy object. | [{'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': 'k8s.io/kubernetes'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.5.0'}, {'fixed': '1.5.5'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2017-1000056'}, {'type': 'WEB', 'url': 'https://github.com/kubernetes/kubernetes/issues/43459'}, {'type': 'WEB', 'url': 'https://github.com/kubernetes/kubernetes/commit/7fef0a4f6a44ea36f166c39fdade5324eff2dd5e'}, {'type': 'PACKAGE', 'url': 'https://github.com/kubernetes/kubernetes'}] | {'cwe_ids': ['CWE-862'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2022-09-08T00:01:04Z', 'nvd_published_at': None} |
1.4.0 | GHSA-25xm-hr59-7c27 | 2023-08-30T18:17:49Z | 2021-05-25T18:39:37Z | null | ['CVE-2021-29482'] | github.com/ulikunitz/xz fixes readUvarint denial of service | ### Impact
xz is a compression and decompression library focusing on the xz format completely written in Go. The function readUvarint used to read the xz container format may not terminate a loop provide malicous input.
### Patches
The problem has been fixed in release v0.5.8.
### Workarounds
Limit the size of the compressed file input to a reasonable size for your use case.
### References
The standard library had recently the same issue and got the [CVE-2020-16845](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-16845) allocated.
### For more information
If you have any questions or comments about this advisory:
* Open an issue in [xz](https://github.com/ulikunitz/xz/issues). | [{'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/ulikunitz/xz'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '0.5.8'}]}]}] | [{'type': 'WEB', 'url': 'https://github.com/ulikunitz/xz/security/advisories/GHSA-25xm-hr59-7c27'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29482'}, {'type': 'WEB', 'url': 'https://github.com/ulikunitz/xz/issues/35'}, {'type': 'WEB', 'url': 'https://github.com/ulikunitz/xz/commit/69c6093c7b2397b923acf82cb378f55ab2652b9b'}, {'type': 'WEB', 'url': 'https://pkg.go.dev/vuln/GO-2020-0016'}] | {'cwe_ids': ['CWE-835'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-24T17:52:22Z', 'nvd_published_at': '2021-04-28T19:15:00Z'} |
1.4.0 | GHSA-7c82-mp33-r854 | 2021-04-22T23:22:11Z | 2021-05-07T16:47:54Z | null | ['CVE-2019-20921'] | Cross-site scripting in bootstrap-select | bootstrap-select before 1.13.6 allows Cross-Site Scripting (XSS). It does not escape title values in OPTION elements. This may allow attackers to execute arbitrary JavaScript in a victim's browser. | [{'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': 'bootstrap-select'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.13.6'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2019-20921'}, {'type': 'WEB', 'url': 'https://github.com/snapappointments/bootstrap-select/issues/2199'}, {'type': 'WEB', 'url': 'https://github.com/snapappointments/bootstrap-select/commit/ab6e068748040cf3cda5859f6349b382402b8767'}, {'type': 'ADVISORY', 'url': 'https://github.com/advisories/GHSA-9r7h-6639-v5mw'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-BOOTSTRAPSELECT-570457'}, {'type': 'WEB', 'url': 'https://www.npmjs.com/advisories/1522'}] | {'cwe_ids': ['CWE-79'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-04-22T23:22:11Z', 'nvd_published_at': '2020-09-30T18:15:00Z'} |
1.4.0 | GHSA-fp4w-jxhp-m23p | 2021-08-31T21:03:58Z | 2021-05-24T18:12:33Z | null | ['CVE-2020-36327'] | Dependency Confusion in Bundler | Bundler 1.16.0 through 2.2.9 and 2.2.11 through 2.2.17 sometimes chooses a dependency source based on the highest gem version number, which means that a rogue gem found at a public source may be chosen, even if the intended choice was a private gem that is a dependency of another private gem that is explicitly depended on by the application. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H'}] | [{'package': {'ecosystem': 'RubyGems', 'name': 'bundler'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '1.16.0'}, {'fixed': '2.2.10'}]}]}, {'package': {'ecosystem': 'RubyGems', 'name': 'bundler'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '2.2.11'}, {'fixed': '2.2.18'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-36327'}, {'type': 'WEB', 'url': 'https://github.com/rubygems/rubygems/issues/3982'}, {'type': 'WEB', 'url': 'https://github.com/rubygems/rubygems/pull/4609'}, {'type': 'WEB', 'url': 'https://github.com/rubygems/rubygems/commit/078bf682ac40017b309b5fc69f283ff640e7c129'}, {'type': 'WEB', 'url': 'https://bundler.io/blog/2021/02/15/a-more-secure-bundler-we-fixed-our-source-priorities.html'}, {'type': 'PACKAGE', 'url': 'https://github.com/rubygems/rubygems'}, {'type': 'WEB', 'url': 'https://github.com/rubygems/rubygems/blob/master/bundler/CHANGELOG.md#2218-may-25-2021'}, {'type': 'WEB', 'url': 'https://github.com/rubysec/ruby-advisory-db/blob/master/gems/bundler/CVE-2020-36327.yml'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/MWXHK5UUHVSHF7HTHMX6JY3WXDVNIHSL/'}, {'type': 'WEB', 'url': 'https://mensfeld.pl/2021/02/rubygems-dependency-confusion-attack-side-of-things/'}, {'type': 'WEB', 'url': 'https://msrc.microsoft.com/update-guide/en-US/vulnerability/CVE-2021-24105'}, {'type': 'WEB', 'url': 'https://www.zofrex.com/blog/2021/04/29/bundler-still-vulnerable-dependency-confusion-cve-2020-36327/'}] | {'cwe_ids': [], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-20T21:48:14Z', 'nvd_published_at': '2021-04-29T03:15:00Z'} |
1.4.0 | GHSA-q27f-v3r6-9v77 | 2023-08-08T16:34:06Z | 2021-05-24T18:13:13Z | null | ['CVE-2020-13482'] | Improper Certificate Validation in EM-HTTP-Request | EM-HTTP-Request 1.1.5 uses the library eventmachine in an insecure way that allows an attacker to perform a man-in-the-middle attack against users of the library. The hostname in a TLS server certificate is not verified. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N'}] | [{'package': {'ecosystem': 'RubyGems', 'name': 'em-http-request'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.1.6'}]}], 'database_specific': {'last_known_affected_version_range': '<= 1.1.5'}}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-13482'}, {'type': 'WEB', 'url': 'https://github.com/igrigorik/em-http-request/issues/339'}, {'type': 'WEB', 'url': 'https://github.com/igrigorik/em-http-request/commit/e5fa144f8d21050dd1fc15a4dc8aa34ac6f30602'}, {'type': 'ADVISORY', 'url': 'https://github.com/advisories/GHSA-q27f-v3r6-9v77'}, {'type': 'PACKAGE', 'url': 'https://github.com/igrigorik/em-http-request'}, {'type': 'WEB', 'url': 'https://github.com/rubysec/ruby-advisory-db/blob/master/gems/em-http-request/CVE-2020-13482.yml'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/MKYP5TR5NTVVDX5R4HCNNH2OQR7M4X3J/'}, {'type': 'WEB', 'url': 'https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/Z32PUJA6RGBZ3TKSOTGUXZ45662S3MVF/'}, {'type': 'ADVISORY', 'url': 'https://securitylab.github.com/advisories/GHSL-2020-094-igrigorik-em-http-request'}] | {'cwe_ids': ['CWE-295'], 'severity': 'HIGH', 'github_reviewed': True, 'github_reviewed_at': '2021-05-14T18:46:59Z', 'nvd_published_at': '2020-05-25T22:15:00Z'} |
1.4.0 | GHSA-4hrh-9vmp-2jgg | 2021-05-18T21:54:20Z | 2021-05-21T14:23:15Z | null | ['CVE-2021-29542'] | Heap buffer overflow in `StringNGrams` | ### Impact
An attacker can cause a heap buffer overflow by passing crafted inputs to `tf.raw_ops.StringNGrams`:
```python
import tensorflow as tf
separator = b'\x02\x00'
ngram_widths = [7, 6, 11]
left_pad = b'\x7f\x7f\x7f\x7f\x7f'
right_pad = b'\x7f\x7f\x25\x5d\x53\x74'
pad_width = 50
preserve_short_sequences = True
l = ['', '', '', '', '', '', '', '', '', '', '']
data = tf.constant(l, shape=[11], dtype=tf.string)
l2 = [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, 3]
data_splits = tf.constant(l2, shape=[116], dtype=tf.int64)
out = tf.raw_ops.StringNGrams(data=data,
data_splits=data_splits, separator=separator,
ngram_widths=ngram_widths, left_pad=left_pad,
right_pad=right_pad, pad_width=pad_width,
preserve_short_sequences=preserve_short_sequences)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L171-L185) fails to consider corner cases where input would be split in such a way that the generated tokens should only contain padding elements:
```cc
for (int ngram_index = 0; ngram_index < num_ngrams; ++ngram_index) {
int pad_width = get_pad_width(ngram_width);
int left_padding = std::max(0, pad_width - ngram_index);
int right_padding = std::max(0, pad_width - (num_ngrams - (ngram_index + 1)));
int num_tokens = ngram_width - (left_padding + right_padding);
int data_start_index = left_padding > 0 ? 0 : ngram_index - pad_width;
...
tstring* ngram = &output[ngram_index];
ngram->reserve(ngram_size);
for (int n = 0; n < left_padding; ++n) {
ngram->append(left_pad_);
ngram->append(separator_);
}
for (int n = 0; n < num_tokens - 1; ++n) {
ngram->append(data[data_start_index + n]);
ngram->append(separator_);
}
ngram->append(data[data_start_index + num_tokens - 1]); // <<<
for (int n = 0; n < right_padding; ++n) {
ngram->append(separator_);
ngram->append(right_pad_);
}
...
}
```
If input is such that `num_tokens` is 0, then, for `data_start_index=0` (when left padding is present), the marked line would result in reading `data[-1]`.
### Patches
We have patched the issue in GitHub commit [ba424dd8f16f7110eea526a8086f1a155f14f22b](https://github.com/tensorflow/tensorflow/commit/ba424dd8f16f7110eea526a8086f1a155f14f22b).
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-4hrh-9vmp-2jgg'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29542'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/ba424dd8f16f7110eea526a8086f1a155f14f22b'}] | {'cwe_ids': ['CWE-131', 'CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T21:54:20Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-qg48-85hg-mqc5 | 2021-05-18T20:58:24Z | 2021-05-21T14:23:55Z | null | ['CVE-2021-29554'] | Division by 0 in `DenseCountSparseOutput` | ### Impact
An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`:
```python
import tensorflow as tf
values = tf.constant([], shape=[0, 0], dtype=tf.int64)
weights = tf.constant([])
tf.raw_ops.DenseCountSparseOutput(
values=values, weights=weights,
minlength=-1, maxlength=58, binary_output=True)
```
This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division:
```cc
int num_batch_elements = 1;
for (int i = 0; i < num_batch_dimensions; ++i) {
num_batch_elements *= data.shape().dim_size(i);
}
int num_value_elements = data.shape().num_elements() / num_batch_elements;
```
Since `data` is given by the `values` argument, `num_batch_elements` is 0.
### Patches
We have patched the issue in GitHub commit [da5ff2daf618591f64b2b62d9d9803951b945e9f](https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f).
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, as these are also affected.
### 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-qg48-85hg-mqc5'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29554'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f'}] | {'cwe_ids': ['CWE-369'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T20:58:24Z', 'nvd_published_at': '2021-05-14T19:15:00Z'} |
1.4.0 | GHSA-wp3c-xw9g-gpcg | 2021-05-18T19:12:41Z | 2021-05-21T14:25:16Z | null | ['CVE-2021-29567'] | Lack of validation in `SparseDenseCwiseMul` | ### Impact
Due to lack of validation in `tf.raw_ops.SparseDenseCwiseMul`, an attacker can trigger denial of service via `CHECK`-fails or accesses to outside the bounds of heap allocated data:
```python
import tensorflow as tf
indices = tf.constant([], shape=[10, 0], dtype=tf.int64)
values = tf.constant([], shape=[0], dtype=tf.int64)
shape = tf.constant([0, 0], shape=[2], dtype=tf.int64)
dense = tf.constant([], shape=[0], dtype=tf.int64)
tf.raw_ops.SparseDenseCwiseMul(
sp_indices=indices, sp_values=values, sp_shape=shape, dense=dense)
```
Since the [implementation](https://github.com/tensorflow/tensorflow/blob/38178a2f7a681a7835bb0912702a134bfe3b4d84/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L68-L80) only validates the rank of the input arguments but no [constraints between dimensions](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseMul), an attacker can abuse them to trigger internal `CHECK` assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers.
### Patches
We have patched the issue in GitHub commit [7ae2af34087fb4b5c8915279efd03da3b81028bc](https://github.com/tensorflow/tensorflow/commit/7ae2af34087fb4b5c8915279efd03da3b81028bc).
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-wp3c-xw9g-gpcg'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29567'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/7ae2af34087fb4b5c8915279efd03da3b81028bc'}] | {'cwe_ids': ['CWE-617'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T19:12:41Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-6qgm-fv6v-rfpv | 2021-05-18T18:28:23Z | 2021-05-21T14:26:13Z | null | ['CVE-2021-29575'] | Overflow/denial of service in `tf.raw_ops.ReverseSequence` | ### Impact
The implementation of `tf.raw_ops.ReverseSequence` allows for stack overflow and/or `CHECK`-fail based denial of service.
```python
import tensorflow as tf
input = tf.zeros([1, 1, 1], dtype=tf.int32)
seq_lengths = tf.constant([0], shape=[1], dtype=tf.int32)
tf.raw_ops.ReverseSequence(
input=input, seq_lengths=seq_lengths, seq_dim=-2, batch_dim=0)
```
The [implementation](https://github.com/tensorflow/tensorflow/blob/5b3b071975e01f0d250c928b2a8f901cd53b90a7/tensorflow/core/kernels/reverse_sequence_op.cc#L114-L118) fails to validate that `seq_dim` and `batch_dim` arguments are valid.
Negative values for `seq_dim` can result in stack overflow or `CHECK`-failure, depending on the version of Eigen code used to implement the operation. Similar behavior can be exhibited by invalid values of `batch_dim`.
### Patches
We have patched the issue in GitHub commit [ecf768cbe50cedc0a45ce1ee223146a3d3d26d23](https://github.com/tensorflow/tensorflow/commit/ecf768cbe50cedc0a45ce1ee223146a3d3d26d23).
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-6qgm-fv6v-rfpv'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29575'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/ecf768cbe50cedc0a45ce1ee223146a3d3d26d23'}] | {'cwe_ids': ['CWE-119', 'CWE-120', 'CWE-787'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-18T18:28:23Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-4j54-mxf6-wxx2 | 2021-07-28T21:52:51Z | 2021-05-10T18:37:16Z | null | ['CVE-2020-7620'] | OS Command Injection in pomelo-monitor | pomelo-monitor through 0.3.7 is vulnerable to Command Injection.It allows injection of arbitrary commands as part of 'pomelo-monitor' params. | [{'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': 'pomelo-monitor'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'last_affected': '0.3.7'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7620'}, {'type': 'WEB', 'url': 'https://github.com/halfblood369/monitor/blob/900b5cadf59edcccac4754e5706a22719925ddb9/lib/processMonitor.js,'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-POMELOMONITOR-173695'}] | {'cwe_ids': ['CWE-78'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-07T18:24:08Z', 'nvd_published_at': '2020-04-02T21:15:00Z'} |
1.4.0 | GHSA-gh32-pc56-4c96 | 2023-09-15T19:47:45Z | 2021-05-18T18:35:02Z | null | ['CVE-2020-10750'] | Information Exposure in jaeger | Sensitive information written to a log file vulnerability was found in jaegertracing/jaeger before version 1.18.1 when the Kafka data store is used. This flaw allows an attacker with access to the container's log file to discover the Kafka credentials. | [{'type': 'CVSS_V3', 'score': 'CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N'}] | [{'package': {'ecosystem': 'Go', 'name': 'github.com/jaegertracing/jaeger'}, 'ecosystem_specific': {'affected_functions': ['']}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '1.18.1'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-10750'}, {'type': 'WEB', 'url': 'https://github.com/jaegertracing/jaeger/commit/360c38bec3f9718ebba7ddbf0b409b05995f3ace'}, {'type': 'WEB', 'url': 'https://bugzilla.redhat.com/show_bug.cgi?id=1838401'}, {'type': 'WEB', 'url': 'https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2020-10750'}, {'type': 'WEB', 'url': 'https://github.com/jaegertracing/jaeger/releases/tag/v1.18.1'}] | {'cwe_ids': ['CWE-200', 'CWE-532'], 'severity': 'MODERATE', 'github_reviewed': True, 'github_reviewed_at': '2021-05-12T14:55:16Z', 'nvd_published_at': None} |
1.4.0 | GHSA-wvjw-p9f5-vq28 | 2021-05-17T21:06:57Z | 2021-05-21T14:29:02Z | null | ['CVE-2021-29619'] | Segfault in `tf.raw_ops.SparseCountSparseOutput` | ### Impact
Passing invalid arguments (e.g., discovered via fuzzing) to `tf.raw_ops.SparseCountSparseOutput` results in segfault.
### Patches
We have patched the issue in GitHub commit [82e6203221865de4008445b13c69b6826d2b28d9](https://github.com/tensorflow/tensorflow/commit/82e6203221865de4008445b13c69b6826d2b28d9).
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-wvjw-p9f5-vq28'}, {'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2021-29619'}, {'type': 'WEB', 'url': 'https://github.com/tensorflow/tensorflow/commit/82e6203221865de4008445b13c69b6826d2b28d9'}] | {'cwe_ids': ['CWE-755'], 'severity': 'LOW', 'github_reviewed': True, 'github_reviewed_at': '2021-05-17T21:06:57Z', 'nvd_published_at': '2021-05-14T20:15:00Z'} |
1.4.0 | GHSA-6xv6-jpvw-cx6q | 2021-05-04T22:37:03Z | 2021-05-06T18:27:36Z | null | ['CVE-2020-7730'] | Command injection in bestzip | The package bestzip before 2.1.7 are vulnerable to Command Injection via the options param. | [{'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': 'bestzip'}, 'ranges': [{'type': 'ECOSYSTEM', 'events': [{'introduced': '0'}, {'fixed': '2.1.7'}]}]}] | [{'type': 'ADVISORY', 'url': 'https://nvd.nist.gov/vuln/detail/CVE-2020-7730'}, {'type': 'WEB', 'url': 'https://github.com/nfriedly/node-bestzip/commit/45d4a901478c6a8f396c8b959dd6cf8fd3f955b6'}, {'type': 'WEB', 'url': 'https://snyk.io/vuln/SNYK-JS-BESTZIP-609371'}] | {'cwe_ids': ['CWE-78'], 'severity': 'CRITICAL', 'github_reviewed': True, 'github_reviewed_at': '2021-05-04T22:37:03Z', 'nvd_published_at': '2020-09-04T10:15:00Z'} |