JuliusHenke/autopentest
CLI enabling more autonomous black-box penetration tests using Large Language Models (LLMs)
Leverages LangChain's agent framework to orchestrate multi-step exploitation workflows, integrating with major LLM providers (OpenAI, Azure, Anthropic) and external security tools. Built on autonomous reasoning loops that decompose penetration testing tasks into actionable steps, augmented by knowledge bases and dynamic tool selection. Evaluated on HTB capture-the-flag scenarios, demonstrating cost-effective vulnerability assessment compared to manual LLM interaction.
Stars
43
Forks
6
Language
Python
License
—
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
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