AIBearisharXiv – CS AI · 15h ago7/10
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MemMorph: Tool Hijacking in LLM Agents via Memory Poisoning
Researchers introduce MemMorph, a novel attack method that compromises LLM-driven agents by poisoning their long-term memory modules rather than manipulating tool metadata. The attack achieves up to 85.9% success rates by injecting crafted records disguised as technical facts, exposing a critical security vulnerability in memory-augmented AI systems that existing defenses fail to address.