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Main Authors: He, Pengfei, Lin, Yupin, Dong, Shen, Xu, Han, Xing, Yue, Liu, Hui
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2502.14847
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author He, Pengfei
Lin, Yupin
Dong, Shen
Xu, Han
Xing, Yue
Liu, Hui
author_facet He, Pengfei
Lin, Yupin
Dong, Shen
Xu, Han
Xing, Yue
Liu, Hui
contents Large Language Model-based Multi-Agent Systems (LLM-MAS) have revolutionized complex problem-solving capability by enabling sophisticated agent collaboration through message-based communications. While the communication framework is crucial for agent coordination, it also introduces a critical yet unexplored security vulnerability. In this work, we introduce Agent-in-the-Middle (AiTM), a novel attack that exploits the fundamental communication mechanisms in LLM-MAS by intercepting and manipulating inter-agent messages. Unlike existing attacks that compromise individual agents, AiTM demonstrates how an adversary can compromise entire multi-agent systems by only manipulating the messages passing between agents. To enable the attack under the challenges of limited control and role-restricted communication format, we develop an LLM-powered adversarial agent with a reflection mechanism that generates contextually-aware malicious instructions. Our comprehensive evaluation across various frameworks, communication structures, and real-world applications demonstrates that LLM-MAS is vulnerable to communication-based attacks, highlighting the need for robust security measures in multi-agent systems.
format Preprint
id arxiv_https___arxiv_org_abs_2502_14847
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Red-Teaming LLM Multi-Agent Systems via Communication Attacks
He, Pengfei
Lin, Yupin
Dong, Shen
Xu, Han
Xing, Yue
Liu, Hui
Cryptography and Security
Large Language Model-based Multi-Agent Systems (LLM-MAS) have revolutionized complex problem-solving capability by enabling sophisticated agent collaboration through message-based communications. While the communication framework is crucial for agent coordination, it also introduces a critical yet unexplored security vulnerability. In this work, we introduce Agent-in-the-Middle (AiTM), a novel attack that exploits the fundamental communication mechanisms in LLM-MAS by intercepting and manipulating inter-agent messages. Unlike existing attacks that compromise individual agents, AiTM demonstrates how an adversary can compromise entire multi-agent systems by only manipulating the messages passing between agents. To enable the attack under the challenges of limited control and role-restricted communication format, we develop an LLM-powered adversarial agent with a reflection mechanism that generates contextually-aware malicious instructions. Our comprehensive evaluation across various frameworks, communication structures, and real-world applications demonstrates that LLM-MAS is vulnerable to communication-based attacks, highlighting the need for robust security measures in multi-agent systems.
title Red-Teaming LLM Multi-Agent Systems via Communication Attacks
topic Cryptography and Security
url https://arxiv.org/abs/2502.14847