A Systematic Security Evaluation of OpenClaw and Its Variants

A comprehensive security evaluation of six OpenClaw-series AI agent frameworks reveals substantial vulnerabilities across all tested systems, with agentized systems proving significantly riskier than their underlying models. The study identified reconnaissance and discovery behaviors as the most common weaknesses, while highlighting that security risks are amplified through multi-step planning and runtime orchestration capabilities.