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https://github.com/Shiva108/ai-llm-red-team-handbook.git
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shiva108
b3d3bac51f
- Extracted all code examples from handbook chapters - Organized into 15 attack categories - Created shared utilities (api_client, validators, logging, constants) - Added workflow orchestration scripts - Implemented install.sh for easy setup - Renamed all scripts to descriptive functional names - Added comprehensive README and documentation - Included pytest test suite and configuration
43 lines
1005 B
Python
43 lines
1005 B
Python
#!/usr/bin/env python3
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"""
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Practical Detection Example
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Source: Chapter_31_AI_System_Reconnaissance
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Category: reconnaissance
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"""
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import re
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import argparse
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import sys
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#!/usr/bin/env python3
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"""
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Detection Logic for Reconnaissance Probes
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"""
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class ReconDetector:
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"""Flags potential fingerprinting attempts."""
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def __init__(self):
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self.blocklist = [
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r"ignore previous instructions",
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r"system prompt",
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r"who created you",
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r"knowledge cutoff"
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]
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def check_input(self, user_input: str) -> bool:
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"""
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Check if input contains recon patterns.
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"""
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for pattern in self.blocklist:
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if re.search(pattern, user_input, re.IGNORECASE):
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return True
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return False
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if __name__ == "__main__":
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detector = ReconDetector()
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print(f"Detected 'Who created you': {detector.check_input('Who created you?')}")
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print(f"Detected 'Hello': {detector.check_input('Hello there')}")
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