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English(EN) AgentTrap: Stateful Feedback Deception against Autonomous Penetration Testing Agents

新型AgentTrap蜜罐可对抗自主渗透测试代理

研究人员开发了AgentTrap,一个新颖的闭环蜜罐系统,旨在对抗自主渗透测试代理。与具有静态响应的传统蜜罐不同,AgentTrap采用哨兵端点和基于受保护应用程序的状态欺骗来适应不断变化的攻击策略。评估表明,AgentTrap显著降低了对真实目标的攻击成功率,并成功诱捕了攻击者的API密钥,其性能优于静态欺骗方法。 AI

影响 这项研究可能导致更强大的AI驱动网络攻击防御措施,提高Web应用程序的安全性。

排序理由 该集群包含一篇详细介绍AI安全新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新型AgentTrap蜜罐可对抗自主渗透测试代理

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该集群包含一篇详细介绍AI安全新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yuelin Wang, Jiongchi Yu, Yanbang Sun ·

    AgentTrap:针对自主渗透测试代理的有状态反馈欺骗

    arXiv:2610.02869v1 Announce Type: cross Abstract: Autonomous penetration testing agents conduct multi-step attacks by continuously adapting their plans and actions to target responses. As a common defense, honeypots can be deployed to divert these agents from real assets by prese…