English

Web Fraud Attacks Against LLM-Driven Multi-Agent Systems

Cryptography and Security 2026-01-08 v2 Artificial Intelligence Multiagent Systems

Abstract

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.

Keywords

Cite

@article{arxiv.2509.01211,
  title  = {Web Fraud Attacks Against LLM-Driven Multi-Agent Systems},
  author = {Dezhang Kong and Hujin Peng and Yilun Zhang and Lele Zhao and Zhenhua Xu and Shi Lin and Changting Lin and Meng Han},
  journal= {arXiv preprint arXiv:2509.01211},
  year   = {2026}
}
R2 v1 2026-07-01T05:14:49.988Z