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New benchmark evaluates LLMs for penetration testing

A new benchmark has been developed to evaluate the effectiveness of Large Language Models (LLMs) in penetration testing. The creator found existing tools like CyberGym to be too focused on agent promotion and exploit generation for known vulnerabilities, rather than assessing LLMs on live infrastructure attacks. This personal project aims to provide a more relevant comparison of current LLMs for real-world pentesting scenarios. AI

IMPACT Provides a new method for evaluating LLM capabilities in cybersecurity, potentially guiding development and adoption for security professionals.

RANK_REASON The item describes a new benchmark for evaluating LLMs in a specific application (penetration testing), which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark evaluates LLMs for penetration testing

How we ranked this

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7 / 100
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Tool
The item describes a new benchmark for evaluating LLMs in a specific application (penetration testing), which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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product, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/TomatoWasabi ·

    Which LLM is actually best at pentesting? benchmark to find out

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w2wdeq/which_llm_is_actually_best_at_pentesting/"> <img alt="Which LLM is actually best at pentesting? benchmark to find out" src="https://external-preview.redd.it/-Zvp7-8gnVyjc2CT2gPPQPSuToHDw2xAytKbHQKNiFY.…