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Oct 12 · Monday

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System type

AI Agent8coding agent1Multi-agent systems7

Attack surface / entry point

User input7Documents and messages3Tool and skill descriptions4Code repositories and dependencies7Memory writes3Inter-agent messages1Distribution channels5
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System type：coding agentAttack surface / entry point：Inter-agent messagesClear all

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  1. Evaluation and benchmarksarXiv 2609.32635

    TrustFork：显示身份如何劫持 LLM 智能体编排的权限

    提出 TRUSTFORK 基准，评测展示身份劫持多智能体编排权限

    arXiv
    2609.32635
    Published
    Layer
    Application layer
    Setting
    Multi-agent systems, coding agent
    Evaluated models
    GPT-5.6-Sol, GPT-5.6-Luna, Kimi-K3 and others8

    Abstract论文提出了多智能体安全基准 TRUSTFORK，揭示展示身份如何劫持操作权威，并证明事后验证无法弥补已发生的执行破坏。

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