Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures
The paper discusses the security challenges associated with OpenClaw agents, a new class of autonomous systems. It highlights the vulnerabilities that arise from their high-privilege operations and persistent memory. The authors categorize existing threats and review defense mechanisms while addressing unresolved issues in the reliability of these ecosystems.
- ▪OpenClaw agents are open-source frameworks that operate with high degrees of autonomy and persistent memory.
- ▪The combination of these features increases their exposure to various security threats, including skill poisoning and cognitive manipulation.
- ▪The paper categorizes security threats into a layered framework and reviews current defense mechanisms.
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Computer Science > Artificial Intelligence arXiv:2605.25435 (cs) [Submitted on 25 May 2026] Title:Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures Authors:Yuntao Wang, Jianle Ba, Han Liu, Yanghe Pan, Jintao Wei, Zhou Su, Tom H. Luan, Linkang Du View a PDF of the paper titled Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures, by Yuntao Wang and 7 other authors View PDF HTML (experimental) Abstract:The rapid evolution of large language model (LLM)-driven autonomous agents has given rise to OpenClaw, a new class of open-source agent frameworks that operate as continuously running, skill-augmented systems with persistent memory, multi-channel interaction, and high degrees of autonomy.
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