initial commit

README.md

@@ -10,4 +10,12 @@ pinned: false
 license: mit
 ---
 
+## Getting Started
+
+Please configure your OpenAI API key as an environment variable:
+```
+export OPENAI_API_KEY="yout-key-here"
+```
+and update the `FirewallManager` and `PacketFilter` classes to perform your desired tasks.
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from transformers.tools.base import launch_gradio_demo
+from threat_extraction import ThreatIntelExtractorTool
+
+launch_gradio_demo(ThreatIntelExtractorTool)

requirements.txt

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+openai
+json
+requests
+huggingface_hub
+transformers

threat_extraction.py

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+import env
+import json
+import openai
+import requests
+from os import environ as env
+
+class FirewallManager:
+    def update_rule(self, ip: str, action: str):
+        # This is a placeholder. You would implement this to interact with your actual firewall.
+        print(f"Updated firewall rule for IP {ip} with action {action}")
+
+class PacketFilter:
+    def drop_packet(self, ip: str):
+        # This is a placeholder. You would implement this to interact with your actual packet filter.
+        print(f"Dropped packet from IP {ip}")
+
+class ThreatIntelExtractorTool(Tool):
+    name = "threat_intel_extractor_tool"
+    description = """
+    This tool scrapes a hypothetical threat intelligence feed, uses OpenAI API to extract structured information, and takes defensive actions based on the information.
+    Input is a URL of threat intel feed. Output is a structured response as a string with threat information.
+    """
+    inputs = ["text"]
+    outputs = ["text"]
+
+    def __init__(self, firewall_manager: FirewallManager, packet_filter: PacketFilter):
+        self.openai_api_key = env.get("OPENAI_API_KEY")
+        openai.api_key = self.openai_api_key
+        self.firewall_manager = firewall_manager
+        self.packet_filter = packet_filter
+
+    def __call__(self, threat_intel_feed_url: str):
+        # Scrape threat intelligence feed
+        response = requests.get(threat_intel_feed_url)
+        threat_info_raw = response.text
+
+        # Send data to OpenAI API for text extraction
+        example_json = {
+            "Threats": [
+                {"Threat": "Threat 1", "IP": "192.0.2.0", "Description": "This is a hypothetical threat."},
+                {"Threat": "Threat 2", "IP": "192.0.2.1", "Description": "This is another hypothetical threat."}
+            ]
+        }
+        prompt = f"Extract structured information from the following threat intelligence:\n{threat_info_raw}\nExample of the expected format:\n{json.dumps(example_json, indent=2)}"
+        extraction_response = openai.Completion.create(engine="text-davinci-003", prompt=prompt, max_tokens=100)
+
+        # Format extracted information into a structured response
+        extracted_info = self.format_extraction(extraction_response.choices[0].text.strip())
+
+        # Take defensive actions based on the extracted information
+        self.take_defensive_actions(extracted_info)
+
+        return extracted_info
+
+    def format_extraction(self, extraction: str) -> dict:
+        # This method would depend on the format of the extracted information
+        # For this example, let's assume the extraction is a list of threats, each one formatted as "Threat: <threat>, IP: <ip>, Description: <description>"
+        structured_info = []
+        for line in extraction.split('\n'):
+            parts = line.split(',')
+            structured_info.append({
+                'Threat': parts[0].split(':')[1].strip(),
+                'IP': parts[1].split(':')[1].strip(),
+                'Description': parts[2].split(':')[1].strip(),
+            })
+        return json.dumps({'Threats': structured_info})
+
+    def take_defensive_actions(self, threat_info: dict):
+        for threat in threat_info['Threats']:
+            ip = threat['IP']
+            # For the purposes of this example, let's assume that we want to block all traffic from the IP and drop any incoming packets.
+            self.firewall_manager.update_rule(ip, 'block')
+            self.packet_filter.drop_packet(ip)

tool_config.json

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+{
+  "description": "This tool scrapes a hypothetical threat intelligence feed, uses OpenAI API to extract structured information, and takes defensive actions based on the information. Input is a URL of threat intel feed. Output is a structured response as a string with threat information.",
+  "name": "threat_intel_extractor_tool",
+  "tool_class": "threat_extraction.ThreatIntelExtractorTool"
+}
+