lucagioacchini/genai-pentest-paper
This repo contains the codes for the experiments of the paper "AutoPenBench: Benchmarking Generative Agents for Penetration Testing".
This project provides the code to reproduce experiments from a research paper on benchmarking generative AI agents for penetration testing. It takes experiment configurations as input and outputs raw experimental results, which are then processed for analysis. This is for researchers and academics focused on cybersecurity, AI, and penetration testing.
Use this if you are a researcher who needs to validate or build upon the findings of the 'AutoPenBench: Benchmarking Generative Agents for Penetration Testing' paper.
Not ideal if you are a practitioner looking for a ready-to-use penetration testing tool or a general developer seeking a generative AI library.
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Language
Python
License
MIT
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Last pushed
Oct 28, 2025
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