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English(EN) APT-Agent: Automated Penetration Testing using Large Language Models

AI代理面临反复出现的安全漏洞；新的LLM工具可实现渗透测试自动化

作者 PulseAugur 编辑部 · [3 个来源] ·

两篇新研究论文探讨了AI代理和渗透测试的安全影响。一篇论文分析了专有AI代理系统的漏洞，发现了与早期计算系统类似的反复出现的弱点，并评估了自2025年以来的安全改进。另一篇论文介绍了APT-Agent，一个由LLM驱动的自动化渗透测试框架，通过缓解幻觉命令和增强记忆，实现了84.29%的利用成功率。 AI

影响 新研究强调了AI代理中持续存在的安全漏洞，并介绍了一种LLM工具，该工具显著提高了自动化渗透测试的成功率。

排序理由 该集群包含两篇讨论AI安全和渗透测试的学术论文。

在 arXiv cs.AI 阅读 →

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AI代理面临反复出现的安全漏洞；新的LLM工具可实现渗透测试自动化

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该集群包含两篇讨论AI安全和渗透测试的学术论文。
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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Kevin Eykholt, Dhilung Kirat, Xiaokui Shu, Jiyong Jang, Frederico Araujo, Ian Molloy ·

    对大规模智能体系统进行渗透测试的经验教训

    arXiv:2605.27042v1 Announce Type: cross Abstract: As AI systems gain increasing autonomy and execution capability, the number of discovered security vulnerabilities continues to rise. However, many of these vulnerabilities are not fundamentally novel, but instead reflect recurrin…

  2. arXiv cs.AI TIER_1 English(EN) · Ian Molloy ·

    对大规模智能体系统进行渗透测试的经验教训

    As AI systems gain increasing autonomy and execution capability, the number of discovered security vulnerabilities continues to rise. However, many of these vulnerabilities are not fundamentally novel, but instead reflect recurring classes of weaknesses long observed in prior com…

  3. arXiv cs.AI TIER_1 English(EN) · William Guanting Li (University of Queensland), Alsharif Abuadbba (CSIRO Data61), Kristen Moore (CSIRO Data61), Dan Dongseong Kim (University of Queensland) ·

    APT-Agent：使用大型语言模型进行自动化渗透测试

    arXiv:2605.24949v1 Announce Type: cross Abstract: Penetration testing is essential to securing modern web infrastructures, yet traditional manual methods struggle to keep pace with their scale and complexity. Large Language Models (LLMs) offer new opportunities for automating the…

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