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New ShareLock framework enables stealthy multi-tool poisoning attacks on LLM agents

By PulseAugur Editorial · [2 sources] ·

Researchers have developed ShareLock, a novel framework for stealthy multi-tool poisoning attacks against Model Context Protocol (MCP), which is foundational for LLM-driven agents. This framework utilizes Shamir's threshold scheme to distribute malicious instructions as secret shares across multiple tool descriptions, enhancing stealth and fault tolerance. ShareLock achieves over 90% attack success rate in experiments, outperforming existing single-tool poisoning strategies in detection evasion. AI

IMPACT This research highlights new security vulnerabilities in LLM agents, necessitating advancements in defense mechanisms against sophisticated poisoning attacks.

RANK_REASON The cluster contains a research paper detailing a novel attack framework.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New ShareLock framework enables stealthy multi-tool poisoning attacks on LLM agents

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The cluster contains a research paper detailing a novel attack framework.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Liwei Liu, Tianzhu Han, Zijian Liu, Zishu Dong, Na Ruan ·

    ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP

    arXiv:2606.27027v1 Announce Type: cross Abstract: With the rapid evolution of LLM-driven agents, Model Context Protocol (MCP), an open protocol bridging LLMs with external tools, has quickly become foundational to modern agent ecosystems. However, the expanding adoption of MCP ha…

  2. arXiv cs.AI TIER_1 English(EN) · Na Ruan ·

    ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP

    With the rapid evolution of LLM-driven agents, Model Context Protocol (MCP), an open protocol bridging LLMs with external tools, has quickly become foundational to modern agent ecosystems. However, the expanding adoption of MCP has also introduced novel security concerns such as …

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