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English(EN) LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injectio

新的LivePI基准测试揭示了AI代理程序在提示注入方面的漏洞

研究人员开发了LivePI,这是一个新的基准测试,旨在更真实地评估AI代理程序在间接提示注入方面的风险。该基准测试模拟了电子邮件、网页和聊天等各种输入渠道的真实场景,评估了十二种攻击家族和五种恶意目标。对GPT-5.3-Codex和Claude Opus 4.6等领先模型的初步测试显示出显著的漏洞,群聊注入被证明是普遍成功的,而存储库链接攻击导致了高严重性故障。提出的两层防御措施,结合了提示过滤和工具调用授权,在不影响代理程序效用的情况下,有效地阻止了恶意操作。 AI

影响 突出了当前AI代理程序关键的安全漏洞,为安全部署提供了必要的强大防御措施。

排序理由 该集群描述了一篇介绍AI安全研究新基准测试的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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新的LivePI基准测试揭示了AI代理程序在提示注入方面的漏洞

报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Lei Zhao, Abhay Bhaskar, Edgar Dobriban ·

    LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection

    arXiv:2605.17986v2 Announce Type: replace-cross Abstract: AI agents such as OpenClaw are increasingly deployed in local workflows with access to external tools. This creates indirect prompt-injection (IPI) risk: an agent may execute harmful instructions embedded in untrusted inpu…

  2. arXiv cs.LG TIER_1 English(EN) · Zixuan Chen, Jiaxiang Chen, Li Luo, Ke Xu, Xiaoxiang Huang, Tanfeng Sun, Xinghao Jiang ·

    IterInject: Indirect Prompt Injection Against LLM Agents via Feedback-Guided Iterative Optimization

    arXiv:2605.24659v1 Announce Type: new Abstract: LLM-based agents are increasingly deployed for complex tasks requiring planning, tool use, and interaction with external services. Their reliance on untrusted external content exposes them to indirect prompt injection (IPI), in whic…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injectio

    AI agents such as OpenClaw are increasingly deployed in local workflows with access to external tools. This creates indirect prompt-injection (IPI) risk: an agent may execute harmful instructions embedded in untrusted inputs such as email, downloaded files, webpages, repositories…