InjecMEM: Memory Injection Attack on LLM Agent Memory Systems
Memory is becoming a default subsystem in deployed LLM agents to provide persistent personalization and continuity. This naturally prompts a question: will memory system introduce new vulnerabilities into agents? Thus we propose InjecMEM, a novel memory injection attack paradigm that requires only a single interaction (no read/edit access to memory store) to steer later responses of related queries toward a pre-specified output. Guided by the retrieval-then-generate mechanism of memory systems, we craft the injection with a retriever-agnostic anchor and an adversarial command. The anchor contains high-recall topical cues so that downstream retrieval consistently associates the record with...
| Authors | Hanling Tian, Gengyu Zhang, Zeyang Sha et al. |
|---|---|
| Primary category | cs.CR |
| Published | 24 August 2026 |
| Last updated at source | 24 August 2026 |
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