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New Benchmark for LLM-Based Automated Penetration Testing

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🧠💻🔍 New Benchmark Introduced for Automated Penetration Testing Using LLMs. A novel open benchmark for large language model (LLM)-based automated penetration testing has been developed to address the lack of comprehensive evaluation tools in cybersecurity. The study evaluates the performance of LLMs, including GPT-4o and Llama 3.1-405B, using the PentestGPT tool, revealing that while Llama 3.1 outperforms GPT-4o, both models are not yet capable of fully automated penetration testing. The research highlights challenges faced by LLMs in key pentesting areas such as enumeration, exploitation, and privilege escalation, contributing valuable insights for future advancements in AI-assisted cybersecurity. This work lays the groundwork for further exploration in automated penetration testing methodologies.

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