Essay: LLMs could exploit inference engines to control host machines
Essay explores how a malicious LLM could take control of its host machine by emitting tokens that exploit vulnerabilities in inference engines like vLLM or SGLang. Cites CVE-2025-9141, an arbitrary-code execution bug in vLLM's XML-based tool parser for Qwen3 Coder, which passed tool-call arguments to eval().
1 source
Daily brief
Get tomorrow's AI brief in your inbox
More stories today
- Robotic systems struggle with physical navigation in recent demonstrations
- ChatGPT Visualize skill turns notes into interactive interfaces
- Twitch streamers sue Twitch, Amazon over AI training data use
- Fastino launches GLiNER2.5 with boundary-prediction architecture
- NVIDIA Sol Engine cuts MiniMax H3 latency to 14.93s