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Oct 13 · Tuesday

All papers

Found 18 papers

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  1. MMSkillRisk:多模态技能图像中的隐藏指令可诱导 Agent 执行未授权操作

    提出 MMSkillRisk 基准,评测多模态技能图像中的隐藏指令诱导 Agent 越权操作

    Published
    Evaluated models
    GPT-5.6-sol, Kimi-K2.6, Kimi-K3 and others6

    Abstract论文提出 MMSkillRisk 基准与 NCVA 攻击,揭示多模态技能中教学图像潜藏指令可引发未授权操作并与良性任务共存。

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  2. AttacksarXiv 2609.18217

    研究:跨通道碎片化攻击可绕过 MCP 单通道防御

    提出跨通道分段攻击,利用 MCP 隐式信任外发敏感文件

    Published
    Evaluated models
    GPT-4o, GPT-4o-mini, GPT-5.4 and others15

    Abstract论文揭示了 MCP 多通道隐式信任层级,通过跨通道分段与协议级利用突破现有防御,展示了严重的凭证外发风险。

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  3. AttacksarXiv 2608.25776

    EvoMal attack uses self-poisoning of self-evolving coding agents to achieve worm-like propagation

    提出 EVOMAL,诱导自演化编码 Agent 在创建技能时自我投毒并蠕虫传播

    Published
    Evaluated models
    Devstral-Small-2, Gemma-4-31B-IT, Qwen3-Coder-Next and others7

    Abstract论文指出了自演化智能体模仿检索代码的自我毒化漏洞,提出 EVOMAL 攻击与防御,阐明了供应链新风险。

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  4. AttacksarXiv 2608.06862

    SynChain:诱导计算机使用 Agent 自建攻击链并跨任务持久化

    提出 SYNCHAIN,诱导计算机使用 Agent 自建跨任务持久攻击链

    Published
    Evaluated models
    Qwen3.5-9B, Llama-3.1-8B, Ministral-3-8B

    Abstract论文揭示了 CUA 自合成工件带来的内部供应链威胁,验证了潜伏载荷的跨任务传播能力与防御局限。

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  5. AttacksarXiv 2607.14493

    LogInject 框架披露 LLM 日志分析中的被动提示注入

    提出 LogInject 框架,评测日志分析中的被动提示注入及缓解

    Published
    Evaluated models
    GPT-4o, Claude 3.5 Sonnet, Llama-3-70B-Instruct

    Abstract论文评估了 LLM 日志分析中的上下文污染风险,提出分片拼接等攻击与三层防御,指出必须结合架构隔离与人工介入。

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  6. AttacksarXiv 2607.12340

    Research: LLM agent skill-name hallucination rates reach up to 62%, which can be exploited via squatting for supply-chain attacks

    提出技能名称抢注攻击,利用 Agent 虚构技能名实施供应链劫持

    Published
    Evaluated models
    GLM-4.5-Air, GPT-5.4-mini, Claude Sonnet 4.6 and others12
    Abstract研究证实智能体虚构技能名具有高发生率与可预测性,现有防御难以兼顾安全与效用,亟需注册表结构性防护。

    本研究系统揭示了大模型智能体技能推荐场景下的虚构技能名称安全风险,将其形式化为一种新型供应链抢注攻击。

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  7. AttacksarXiv 2606.09700

    The researchers propose the HPAA attack: bypassing 13 content moderation systems with typographic visual cues

    提出 HPAA 攻击,用排版视觉线索绕过内容审核系统

    Published
    Attacker
    Black-box
    Evaluated models
    Llama-Guard-3-8B, Perspective API, ShieldGemma-2B and others13
    Abstract揭示了排版视觉线索与分词差异带来的审核盲区,HPAA 以极低查询实现近乎完全规避。

    这篇论文研究了人类视觉感知与大模型分词处理机制之间的差异所导致的内容审核漏洞。

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  8. AttacksarXiv 2604.03081

    Supply Chain Poisoning Attacks on the LLM Coding Agent Skill Ecosystem

    提出 PoisonedSkills,评测编码 Agent 技能生态的文档投毒

    Published
    Evaluated models
    Claude Sonnet 4.6, GLM-4.7, MiniMax-M2.5 and others5
    Abstract作者称技能文档可成为系统操作攻击入口,但结果只评估加载后的阶段。

    PoisonedSkills 研究编码智能体的技能供应链投毒,重点是文档内容如何进入实际系统操作。。

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  9. AttacksarXiv 2602.18514

    招聘中的特洛伊木马:标准模型与推理模型间接提示注入的红队测试案例研究

    用简历中的不可见指令做间接提示注入,操纵招聘推荐

    Published
    Evaluated models
    Qwen 3 30B A3B Instruct 2507, Qwen 3 30B A3B Thinking 2507

    Abstract作者称推理在简单注入下会帮攻击圆谎,在不合逻辑的复杂注入下又会把欺骗漏出来。

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  10. AttacksarXiv 2602.14211

    SkillJect: Automatically generating skill-based prompt injection for skill-based agents

    Proposes SkillJect, which automatically generates poisoned skills to induce code agents to execute hidden scripts

    Published
    Evaluated models
    Claude-4.6-Sonnet, GPT-5-mini, GLM-4.7 and others10
    AbstractSkillJect poisons skills using dual channels and closed-loop refinement.

    SkillJect is an automated prompt injection framework targeting installable agent skills. The authors address the problem that malicious instructions placed in publicly available or manually installed skills are often rejected or ignored, yet once a skill is installed, it is repeatedly loaded as trusted guidance.

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  11. AttacksarXiv 2602.05484

    Masked Mirror: Covert Prompt Injection Attacks Against LLM-Based Phishing Detection

    提出隐蔽提示注入攻击 LLM 钓鱼检测器,并给出防御 InjectDefuser

    Published
    Evaluated models
    OpenAI GPT-5, xAI Grok 4 Fast (Non-Reasoning), Meta Llama 4 Maverick and others4
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  12. AttacksarXiv 2601.21360

    Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation

    提出 AST-ASIP ,把对抗指令植入编译器忽略区域以劫持代码评分

    Published
    Evaluated models
    DeepSeek-V3.2, Qwen3-235B, GPT-OSS-120B and others9
    Abstract作者称 RLHF 的服从性使评分脱离代码。

    这篇工作把自动代码评分中的失败称为 Compliance Paradox:评分模型可以离开提交逻辑,转而执行嵌在可编译代码里的隐藏指令。

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  13. AttacksarXiv 2509.22040

    研究:通过编码规则文件对Cursor与GitHub Copilot实施提示注入

    通过规则文件提示注入劫持编码编辑器并执行未授权终端命令

    Published
    Evaluated models
    Cursor, GitHub Copilot, Claude 4 Sonnet and others4

    Abstract论文提出了针对代码编辑器的提示注入评估框架 AIShellJack,实验显示攻击能诱导 AI 执行未授权终端命令。

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