mirror of
https://github.com/Shiva108/ai-llm-red-team-handbook.git
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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
1.1 KiB
Python
43 lines
1.1 KiB
Python
#!/usr/bin/env python3
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"""
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How to Execute Impersonation Attack
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Source: Chapter_24_Social_Engineering_LLMs
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Category: social_engineering
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"""
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import argparse
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import sys
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# Step 1: Gather intelligence on target (OSINT)
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# Collect public communications: LinkedIn posts, press releases, etc.
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# Step 2: Analyze writing style
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samples = [email1, email2, email3]
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style = framework.analyze_writing_style(samples)
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# Step 3: Generate impersonation message
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message = framework.generate_impersonation_message(
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target_name="John Smith",
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target_role="CEO",
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style_profile=style,
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objective="Request wire transfer to attacker account"
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)
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# Step 4: Deploy attack
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# Send from spoofed email or compromised account
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# Use urgency + authority to pressure victim
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# Harvest credentials or execute fraudulent transaction
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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() |