English(EN) Scope-Gap Injection: Exploiting Evaluator Channel Blind Spots in the OpenClaw Agent Security Competition

新的攻击方法通过利用范围差距绕过LLM智能体安全检查

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-27 04:00

研究人员开发了一种名为范围差距注入（Scope-Gap Injection, SGI）的新颖方法，用于绕过多阶段LLM智能体安全管线的安全检查。该技术利用了一个差异：裁判系统（S2）审查任务指令和技能定义，但不审查附件内容，而智能体在执行（S3）过程中会使用这些附件。通过在附件中嵌入恶意指令，SGI在IJCAI 2026 OpenClaw智能体安全攻击竞赛中成功绕过了19个目标中的5个目标的所有三个安全阶段，取得了F = 0.385的最高分。研究还指出，与在技能中放置攻击指令相比，在附件中放置攻击指令获得了S2裁判更高的接受率。 AI

影响引入了一种新的LLM智能体攻击向量，突显了当前安全评估方法潜在的漏洞。

排序理由学术论文，详细介绍了一种攻击LLM智能体的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 学术论文，详细介绍了一种攻击LLM智能体的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Weihang Niu, Mengxing Ren, Che Qu · 2026-10-27 04:00

Scope-Gap Injection：利用OpenClaw代理安全竞赛中的评估者通道盲点

arXiv:2610.34777v1 Announce Type: new Abstract: This paper introduces Scope-Gap Injection (SGI), an indirect prompt injection method for multi-stage LLM-agent safety pipelines. In the IJCAI 2026 OpenClaw Agent Security Attack Competition, each attack package is judged by a static…

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Scope-Gap Injection：利用OpenClaw代理安全竞赛中的评估者通道盲点

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