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Oct 13 · Tuesday

All papers

Found 23 papers

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  1. AttacksarXiv 2610.09240

    WebMirage hijacks visual web agents' browser operations with adversarial images

    提出 WebMirage,用局部对抗图像劫持视觉网页 Agent 的浏览器操作

    Published
    Setting
    web agent
    Evaluated models
    LLaVA-v1.5-13B, LLaVA-v1.6-34B, MiniCPM-o-8B and others6
    Abstract论文提出了针对网络智能体的端到端视觉红队框架 WebMirage,揭示了从视觉定位到浏览器执行的安全脆弱性。

    WebMirage 是一个面向视觉定位网络智能体的流水线感知端到端红队攻击框架。

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  2. AttacksarXiv 2610.00430

    Memetic Trojans:利用社交传染在 LLM Agent 网络中传播对抗载荷

    提出 memetic trojans,借助社交传染在 Agent 网络中传播对抗载荷

    Published
    Evaluated models
    gpt-oss-120B, deepseek-v4.1-flash, qwen-32B and others5
    Abstractmemetic trojans 用内生社会传染携带载荷。

    Memetic trojans 是一类网络介导攻击:对抗载荷搭在智能体本来就会转发和点赞的内容上扩散,转发者不必被攻陷,也不必执行“请继续复制”的指令。

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  3. AttacksarXiv 2609.39788

    研究:多智能体系统潜在通信链路可被训练用于提升有害顺从

    提出只训练或篡改多智能体潜在通信链路来提高有害遵从

    Published
    Evaluated models
    Llama-3.2-3B-Instruct, Qwen2.5-3B-Instruct, Gemma-3-1B-IT and others7
    Abstract潜在链路本身即可改变冻结智能体系统的安全,奖励既能攻击也能修复。

    学习得到的潜在通信链路会改变由冻结、对齐智能体组成的系统是否遵从有害请求。。作者研究三种拓扑:双智能体、三级顺序协作,以及双专家加汇总。

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  4. AttacksarXiv 2610.00392

    A2A-TIBA:针对 A2A 协议 LLM 智能体的间接提示注入攻击与三层同构攻防模型

    提出 A2A-TIBA,经 A2A 对等任务间接注入并植入常驻回调

    Published
    Evaluated models
    MiniMax-M3, deepseek-v4-pro, glm-5.3 and others8
    AbstractA2A-TIBA 一次植入后绕过智能体,GDA 用四类结果定位防线,ELA-ITL 把信封标注列为第三层。

    A2A-TIBA 把间接提示注入和绕过放进 A2A:gray-box 攻击者已能投递任务,诱导目标部署常驻回调程序后,下令和外传不再经过智能体。

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  5. AttacksarXiv 2609.38270

    VirusCascade:劫持 LLM 推荐智能体的协同反思机制

    提出 VirusCascade,联合操纵商品描述与交互轨迹以劫持推荐智能体协同反思

    Published
    Evaluated models
    AgentCF, AgentSEQ, AgentRAG and others4
    Abstract作者把反思写回视为推广攻击入口,并用联合操纵和诊断探针研究其持续与传播。

    VirusCascade 是针对推荐智能体协作反思的 black-box targeted promotion 攻击研究。 攻击者只改商品描述和少量账号的普通交互,试图让目标商品获得更多良性用户曝光。

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  6. 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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  7. AttacksarXiv 2608.04565

    Researchers propose Breadcrumbing long-range attack that can hijack the evidence chain of DeepResearch-style search agents

    提出权威链劫持与轨迹引导策略演化,劫持搜索 Agent 的证据链

    Published
    Setting
    web agent
    Evaluated models
    Qwen3.5-9B, Gemma4-31B, DeepResearch and others7

    Abstract论文揭示了多步搜索智能体在受限中间人操纵下的脆弱性,提出 ACH 策略与 TGSE 演化方法并完成系统验证。

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  8. AttacksarXiv 2608.00718

    研究揭示多智能体 LLM 流水线的结构性漏洞

    提出多智能体流水线的边界攻击,使对抗内容作为可信输入跨层传播

    Published
    Evaluated models
    GPT-5-mini, Claude Sonnet 4.5, Kimi K2.5
    Abstract缺边界校验使对抗内容跨智能体传播,作者称这是架构属性而非模型能力。

    作者把多智能体 LLM 流水线的对抗问题定义为缺少边界校验,并用生产轨迹和受控实验检查脆弱性来自架构还是骨干模型。中间输出未经验证就传给下游。作者认为,一旦某级接受对抗内容,后续智能体会把它当作可信输入。

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  9. AttacksarXiv 2605.08460

    论文建模多智能体网络中的子智能体继承攻击面

    建模并利用多智能体网络中子智能体生成时的记忆继承漏洞

    Published
    Evaluated models
    MiniMax M2.5, Llama-4-Maverick-17B-128E-Instruct-FP8, Qwen3.5-Plus and others5
    Abstract形式化子智能体继承,在 OpenClaw 上演示四类编排层漏洞并提出防御。

    作者对多智能体网络里的子智能体继承做形式化分析,并用开源框架上的 PoC 演示编排层如何让单点妥协继续扩散。

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  10. AttacksarXiv 2605.08310

    WebTrap:针对浏览器 Agent 导航过程的中途劫持注入攻击

    提出 WebTrap 三阶段陷阱,中途劫持浏览器 Agent 完成攻击后再返回用户任务

    Published
    Setting
    web agent
    Evaluated models
    DeepSeek-V3.1-Terminus, Gemini-2.5-Flash, GLM-4.5-Air and others5
    AbstractWebTrap 把攻击目标嵌进用户流程中途执行再返回。

    WebTrap 是针对长程网页与文件导航的中途劫持注入,目标是在完成攻击动作后仍回到用户任务。

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  11. 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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  12. 论文提出 eTAMP 攻击:网页内容注入可跨会话污染 Web Agent 记忆

    提出 eTAMP,用网页内容跨会话投毒 Web Agent 轨迹记忆并诱导越权操作

    Published
    Setting
    web agent
    Evaluated models
    GPT-5-mini, GPT-5.2, GPT-OSS-120B and others6
    Abstract论文提出了基于环境注入的跨任务记忆投毒攻击 eTAMP,作者报告智能体在环境压力下易感性增加且能力与安全并不协同。

    该论文评估了基于大语言模型的 Web 智能体在利用历史交互轨迹进行记忆增强时的安全脆弱性。

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  13. AttacksarXiv 2603.20925

    Profit is the Red Team: Stress-Testing Agents in Strategic Economic Interactions

    提出利润驱动红队,用标量盈余搜索对手以压测经济博弈 Agent

    Published
    Evaluated models
    GPT-OSS-120B, Qwen3-32B, MiniMax-M2.5 and others6
    Abstract利润驱动红队以标量盈余训练对手,六个目标在四博弈中被利用,提示规则可抬高目标盈余。

    利润驱动红队把可审计终局里的智能体安全写成对手搜索问题:固定目标会不会被一个只追逐自身盈余的自适应玩家利用。

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  14. AttacksarXiv 2603.16960

    Adversarial attacks against modern vision-language models

    Conduct adversarial attacks on product images for open-source visual shopping agents and induce wrong purchases

    Published
    Setting
    web agent
    Evaluated models
    LLaVA-v1.5-7B, Qwen2.5-VL-7B
    AbstractThe authors state that LLaVA is easily induced by three attacks to buy the wrong item, while Qwen's correct purchase rate remains close to its clean condition.

    The authors compare the robustness of two open-source VLM shopping agents against image adversarial perturbations in a self-built e-commerce environment.

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  15. AttacksarXiv 2603.11132

    WebWeaver: Breaking the topology confidentiality of LLM multi-agent systems via covert context inference

    Propose WebWeaver, which compromises only a single agent and recovers the multi-agent communication topology from conversation context.

    Published
    Evaluated models
    Llama 3.1 8B, Qwen 2.5 7B, Mistral NeMo 12B and others6
    AbstractWebWeaver infers topology from context.

    WebWeaver is an inference attack against the confidentiality of LLM-MAS communication topology: it controls only one arbitrary agent and recovers the full graph from dialogue context, rather than querying agent IDs.

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  16. AttacksarXiv 2603.01414

    Jailbreaking embodied LLMs via action-level manipulation

    Propose Blindfold, jailbreaking embodied LLMs with action-level manipulation

    Published
    Evaluated models
    Llama-3.1-8B, DeepSeek-R1-14B, Gemma-3-27B and others8
    AbstractBlindfold jailbreaks embodied LLMs with action-level proxy planning, and the authors claim it can bypass semantic checks and is effective in both simulation and real-world settings.

    Blindfold is a no-box attack against embodied LLM planning modules, rewriting malicious intent into seemingly benign action sequences.

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  17. AttacksarXiv 2603.00131

    Thought Virus: viral misalignment induced by subliminal prompts in multi-agent systems

    Propose Thought Virus, which propagates preferences along multi-agent messages via subliminal prompts.

    Published
    Evaluated models
    Qwen2.5-7B-Instruct, Llama-3.1-8B-Instruct
    AbstractThought Virus spreads a single-point bias downstream.

    Thought Virus puts subliminal prompting into multi-agent communication, to see whether a single-point deviation spreads across the network without naming the target concept.

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  18. AttacksarXiv 2601.13612

    PINA: Prompt Injection Attacks against Navigation Agents

    提出 PINA,迭代优化针对导航智能体的提示注入

    Published
    Evaluated models
    GPT-3.5-turbo, GPT-4, Balcı et al. [2]
    AbstractPINA 在黑盒下优化导航提示注入。

    PINA 是面向基于 LLM 的导航智能体、在黑盒条件下优化提示注入的框架。

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  19. AttacksarXiv 2601.00240

    When agents view humans as out-group: belief-dependent bias in LLM-driven agents

    提出 BPA 改写 profile 与记忆,重新诱发智能体对人类的外群体偏向

    Published
    Evaluated models
    gpt-4o-mini
    Abstract最小群体线索下出现内群体偏向。

    作者考察 LLM 智能体在任意群体边界下会不会把人类当外群体,并用信念投毒检验面向人类的抑制是否依赖身份信念。

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