
AI SAST in Action: Finding Real Vulnerabilities in OpenClaw | Blog | Endor Labs
Endor Labs describes applying its AI SAST engine to the open-source OpenClaw AI agent framework, tracing data flows from attacker-controlled sources (HTTP params, config, conversation history, external API responses) through transformations to dangerous sinks like command execution and file operations. The team validated findings by deploying OpenClaw in Docker and building working proof-of-concept exploits, confirming 7 vulnerabilities spanning HTTP handlers, business logic, tool dispatch, and low-level implementation layers, now reported to maintainers via responsible disclosure with technical details pending patch release.
TL;DR Endor Labs' AI SAST engine found and PoC-validated 7 exploitable vulnerabilities in the OpenClaw AI agent framework via multi-layer source-to-sink data flow analysis.
Technologies named here
- Endor Labs AI SAST engine
- OpenClaw
- Docker
- Endor Labs
Techniques named here
- Data flow / source-to-sink analysis
- Proof-of-concept exploit development
- Multi-layer vulnerability tracking
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