attack arXiv Sep 1, 2025 · Sep 2025
Dezhang Kong, Hujin Peng, Yilun Zhang et al. · Zhejiang University · Changsha University of Science and Technology +4 more
Attacks LLM multi-agent systems via manipulated web links using homoglyph, subdirectory, and obfuscation techniques
Insecure Plugin Design Excessive Agency nlp
With the proliferation of LLM-driven multi-agent systems (MAS), the security of Web links has become a critical concern. Once MAS is induced to trust a malicious link, attackers can use it as a springboard to expand the attack surface. In this paper, we propose Web Fraud Attacks, a novel type of attack manipulating unique structures of web links to deceive MAS. We design 12 representative attack variants that encompass various methods, such as homoglyph deception, sub-directory nesting, and parameter obfuscation. Through extensive experiments on these attack vectors, we demonstrate that Web fraud attacks not only exhibit significant destructive potential across different MAS architectures but also possess a distinct advantage in evasion: they circumvent the need for complex input design, lowering the threshold for attacks significantly. These results underscore the importance of addressing Web fraud attacks, providing new insights into MAS safety. Our code is available at https://github.com/JiangYingEr/Web-Fraud-Attack-in-MAS.
llm Zhejiang University · Changsha University of Science and Technology · Purdue University +3 more