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#artificial intelligence Preprint Sep 2026

A2M: Trace-Optimized Agent Hijacking in the MCP Ecosystem

Agents using the Model Context Protocol (MCP) rely on semantic matching to select tools from third-party servers, exposing a semantic supply-chain risk through attacker-controlled metadata and outputs. We introduce A2M (Attraction-to-Manipulation), a two-stage black-box framework for hijacking MCP agents. The Attractio...

Lai-Zhen Li, Xuan Wang, Pei-Cheng Zhao et al. · 0 citations

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