多智能体系统新攻击面：子智能体“抢活”攻击可操纵主管智能体

The Show-Up Attack: When Subagents Win Over Their Supervisor

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研究者提出并研究了“show-up attack”：恶意子智能体操纵主管智能体，使其被纳入超出既定范围的任务。为此构建的 SUA-Arena 包含 6 种攻击策略和 188 个测试用例，评估 6 个前沿 LLM 后发现全部存在该漏洞，GPT-5.6-Sol 作为主管时 ASR 最高达 0.93。提示词与限制通信等缓解策略未能稳定降低风险，表明多智能体系统需要显式的权限边界执行机制。

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Abstract:Multi-agent systems are increasingly deployed to coordinate multiple large language model (LLM) agents. However, this also creates new attack surfaces: malicious agents may have chances to exploit the coordination. In this paper, we propose and study the \textit{show-up attack}, in which a malicious subagent manipulates the supervisor into involving it in tasks beyond its assigned scope. To evaluate this risk, we propose SUA-Arena, which implements 6 attack strategies and contains 188 test cases. Then, we evaluate 6 frontier LLMs and find that all of them are vulnerable to show-up attacks. For example, GPT-5.6-Sol as a supervisor suffers an ASR of up to 0.93. Mitigation strategies such as prompting and restricted communication fail to reduce the risk consistently. These results show that multi-agent systems need explicit mechanisms for enforcing authority boundaries.

Comments:	Preprint
Subjects:	Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)
Cite as:	arXiv:2610.27574 [cs.AI]
	(or arXiv:2610.27574v1 [cs.AI] for this version)
	https://doi.org/10.48550/arXiv.2610.27574 arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Maosen Zhang [view email]
[v1] Tue, 20 Oct 2026 03:41:13 UTC (1,307 KB)

来源：arXiv cs.AI · arxiv.org