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Oct 13 · Tuesday

All papers

Found 12 papers

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  1. AttacksarXiv 2610.12524

    An exploration of attacks on AI agent systems

    Retest and extend prompt injection against AI agents, and use Agent Card deception to manipulate A2A selection

    Published
    Setting
    AI Agent
    Evaluated models
    Ollama Mistral 0.9.5, llama3-8b-8192, gemini-2.0-flash-lite and others5
    AbstractSingle-agent filtering and classification can be bypassed by format or wording, and A2A card selection is also biased toward names and descriptions.

    The authors retested prompt injection on their own LangChain, AutoGen, and A2A systems, and modified the Agent Card to see if choices shifted. The abstract states the experiments mainly highlight single-agent weaknesses while extending attacks to multi-agent.

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  2. AttacksarXiv 2609.27542

    Researchers use control token injection to delete gpt-oss-20b's reasoning chain and bypass chain-of-thought monitoring

    提出控制标记注入,清空工具 Agent 的思维链以绕过推理监控

    Published
    Setting
    AI Agent
    Evaluated models
    openai/gpt-oss-20b, google/gemma-4-26B-A4B-it, deepseek-ai/DeepSeek-R1-Distill-Qwen-7B and others4

    Abstract论文阐明控制标记注入可抑制 CoT 使监控失效并促成拒绝绕过,且工具执行受解析器宽容度影响。

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  3. AttacksarXiv 2609.13889

    PMPA:针对 OpenClaw 与 Claude Code 的持久记忆投毒攻击

    提出 PMPA,经外部源向 Agent 持久记忆投毒并跨会话泄露隐私

    Published
    Evaluated models
    DeepSeek-V4-Flash, DeepSeek-V4-Pro, Qwen3-Max

    Abstract论文提出了持久记忆投毒攻击 PMPA,报告了 harness 智能体在处理外部数据时易受跨会话记忆投毒与隐私泄露的风险。

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  4. AttacksarXiv 2608.04741

    LoginTrap:针对 LLM Web Agent 的任务无关钓鱼式间接提示注入攻击

    提出 LoginTrap,以网页弹窗诱导 Web Agent 提交敏感信息

    Published
    Setting
    web agent
    Evaluated models
    GPT-4o, Gemini 3 Flash, Claude Sonnet 4 and others7

    Abstract揭示网络智能体在黑盒网页下的登录诱导风险,利用模糊测试生成话术并跨骨干和架构验证了隐私泄露威胁。

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  5. DefensesarXiv 2605.17380

    Uber proposes ADR enterprise-level agent detection system, deployed on 7,200 hosts for ten months

    提出企业级检测系统 ADR,识别编程 Agent 的提示注入与恶意 MCP

    Published

    Abstract提出了端点因果遥测、两级在线分流与离线红队闭环的 ADR 系统,并在生产环境中验证了有效性。

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  6. AttacksarXiv 2605.05509

    研究者提出面向 Agent 浏览器的 Web 威胁模型,梳理 20 类攻击并在 4 个模型上复现

    提出面向智能体浏览器的 Web 威胁模型并复现混淆攻击

    Published
    Setting
    web agent
    Evaluated models
    GPT-5, Claude-Sonnet-4.6, Kimi-k2p5 and others8
    Abstract作者提出面向智能体浏览器的 Web 威胁模型与攻击分类,测试显示传统混淆攻击可复现且能绕过现有防御。

    这篇论文研究了智能体浏览器在面临传统 Web 攻击者时的安全性问题,指出当前针对提示词注入的安全假设无法抵御基于正常 Web 交互模式的混淆攻击。

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