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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
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
#!/usr/bin/env python3
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"""
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Evasion Complexity Spectrum
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Source: Chapter_18_Evasion_Obfuscation_and_Adversarial_Inputs
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Category: evasion
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"""
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import argparse
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import sys
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class EvasionComplexity:
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"""Framework for categorizing evasion complexity"""
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LEVELS = {
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1: {
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'name': 'Basic',
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'techniques': ['Leetspeak', 'Simple synonyms', 'Character swaps'],
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'detection_difficulty': 'Easy',
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'examples': ['h4ck', 'unauthorized access']
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},
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2: {
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'name': 'Intermediate',
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'techniques': ['Homoglyphs', 'Encoding', 'Context framing'],
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'detection_difficulty': 'Medium',
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'examples': ['һack (Cyrillic)', 'base64 encoding', 'hypotheticals']
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},
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3: {
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'name': 'Advanced',
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'techniques': ['Token manipulation', 'Multi-step chains', 'Adaptive'],
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'detection_difficulty': 'Hard',
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'examples': ['Token boundary exploits', 'Progressive revelation']
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},
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4: {
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'name': 'Expert',
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'techniques': ['Adversarial ML', 'Zero-day techniques', 'Custom tools'],
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'detection_difficulty': 'Very Hard',
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'examples': ['Gradient-based attacks', 'Model-specific exploits']
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}
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}
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def main():
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"""Command-line interface."""
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output")
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args = parser.parse_args()
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# TODO: Add main execution logic
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pass
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if __name__ == "__main__":
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main() |