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paperSeptember 2026Unreviewed

When Malicious Instructions Persist: Persistent Memory Poisoning Attack on Harness-Based Agents

Shuhuai Huang, Jingfeng Zhang, Hong Jia

Abstract

Harness design has transformed the development of LLM-based agents by integrating memory, tool use, and runtime control. However, this design also introduces security and privacy risks because malicious instructions from external sources may be written into persistent memory and persist across sessions. To study this risk, we propose PMPA, a Persistent Memory Poisoning Attack against harness-based agents. PMPA embeds malicious instructions into benign external sources and induces the victim agen

Categories

Framework mappings

OWASP Top 10 for LLM Applications
  • LLM02Sensitive Information Disclosure
  • LLM04Data and Model Poisoning
OWASP Top 10 for Agentic Applications
  • ASI02Tool Misuse & Exploitation
  • ASI06Memory & Context Poisoning
MITRE ATLAS
  • AML.T0020Poison Training Data
  • AML.T0024.000Infer Training Data Membership
  • AML.T0053AI Agent Tool Invocation
  • AML.T0080AI Agent Context Poisoning

Suggested from the entry's categories.

Cite

@misc{huang2026whenb,
  title = {{When Malicious Instructions Persist: Persistent Memory Poisoning Attack on Harness-Based Agents}},
  author = {Shuhuai Huang and Jingfeng Zhang and Hong Jia},
  year = {2026},
  month = sep,
  eprint = {2609.13889},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.13889}
}