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English(EN) I threw 750 autonomous LLM exploit attempts at a $10k sandbox bounty. Zero escapes.

自主LLM代理在750次尝试后未能攻破1万美元沙盒赏金

开发了一个自主LLM代理,并针对一个1万美元的赏金挑战进行了测试,以逃离沙盒环境。尽管在代理架构的四次迭代中进行了超过750次漏洞利用尝试,但未发现任何沙盒逃脱。该过程确实发现了一个与堆读取来源不匹配相关的潜在不安全bug,并记录了几项安全建议和CPython的差异。 AI

影响 展示了自主LLM代理在复杂安全任务中的当前局限性,突出了加固系统的健壮性。

排序理由 该项目详细介绍了为安全赏金开发和测试自主LLM代理,这是一项面向研究的活动。[lever_c_demoted from research: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

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自主LLM代理在750次尝试后未能攻破1万美元沙盒赏金

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该项目详细介绍了为安全赏金开发和测试自主LLM代理,这是一项面向研究的活动。[lever_c_demoted from research: ic=1 ai=1.0]
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  1. dev.to — LLM tag TIER_1 English(EN) · Dipankar Sarkar ·

    我向一个价值1万美元的沙盒赏金发起了750次自主LLM漏洞利用尝试。零次逃脱。

    <p>Pydantic put up a $10,000 bounty called <a href="https://hackmonty.com" rel="noopener noreferrer">Hack Monty</a>: escape the sandbox of their Monty runtime. That is a clean, adversarial, unforgiving target. Either you get a sandbox escape or you do not. No partial credit, no h…