Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats
Autonomous Large Language Model (LLM) agents, exemplified by OpenClaw, demonstrate remarkable capabilities in executing complex, long-horizon tasks. However, their tightly coupled instant-messaging interaction paradigm and high-privilege execution capabilities substantially expand the system attack surface. In this paper, we present a comprehensive security threat analysis of OpenClaw. To structure our analysis, we introduce a five-layer lifecycle-oriented security framework that captures key stages of agent operation, i.e., initialization, input, inference, decision, and execution, and systematically examine compound threats across the agent's operational lifecycle, including indirect pr...
| Authors | Xinhao Deng, Yixiang Zhang, Jiaqing Wu et al. |
|---|---|
| Primary category | cs.CR |
| Published | 12 March 2026 |
| Last updated at source | 12 March 2026 |
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