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Researchers unveil MEASER, a novel malware attack targeting open-source LLMs

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method called MEASER to embed malware within open-source large language models. This technique targets specific parameters to inject malicious payloads and triggers, aiming to evade detection even after model quantization or fine-tuning. Experiments on several popular LLMs demonstrated MEASER's high stealth rate and effectiveness in delivering payloads without significant performance degradation. AI

IMPACT New attack vector against open-source LLMs could necessitate new security protocols for model deployment.

RANK_REASON Academic paper detailing a new attack method against open-source LLMs.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Researchers unveil MEASER, a novel malware attack targeting open-source LLMs

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Academic paper detailing a new attack method against open-source LLMs.
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ming Tan, Wei Li, Hu Tao, Hailong Ma, Aodi Liu, Qian Chen, Zilong Wang ·

    MEASER: Malware embedding attacks on open-source LLMs

    arXiv:2510.10486v2 Announce Type: replace-cross Abstract: Open-source large language models (LLMs) have demonstrated considerable dominance over proprietary LLMs in resolving neural processing tasks, thanks to the collaborative and sharing nature. Although full access to source c…

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