Detections
Analytics
CVE-2026-22778
critical
Description
vLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this leak, we reduce ASLR from 4 billion guesses to ~8 guesses. This vulnerability can be chained a heap overflow with JPEG2000 decoder in OpenCV/FFmpeg to achieve remote code execution. This vulnerability is fixed in 0.14.1.
References
https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv
https://github.com/vllm-project/vllm/releases/tag/v0.14.1