mirror of
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
37 lines
818 B
Python
37 lines
818 B
Python
#!/usr/bin/env python3
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"""
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Practical Detection Example
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Source: Chapter_33_Red_Team_Automation
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Category: automation
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"""
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from typing import List, Dict
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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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Dashboard Logic: Analyzing Test Results
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"""
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def analyze_regression(history: List[Dict]):
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"""
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Check if current score is worse than baseline.
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"""
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baseline = history[0]["score"]
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current = history[-1]["score"]
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if current < baseline:
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return f"REGRESSION: Score dropped from {baseline} to {current}"
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return "STABLE: Security posture maintained."
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if __name__ == "__main__":
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history = [
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{"version": "v1.0", "score": 98.5},
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{"version": "v1.1", "score": 98.5},
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{"version": "v1.2", "score": 92.0} # Bad update
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]
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print(analyze_regression(history))
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