CVE-2026-22778

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.

The following products are affected by CVE-2026-22778 vulnerability.

Here, you will find a curated list of external links that provide in-depth information to CVE-2026-22778.

URL	Resource
https://github.com/vllm-project/vllm/pull/31987
https://github.com/vllm-project/vllm/pull/32319
https://github.com/vllm-project/vllm/releases/tag/v0.14.1
https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv
https://nvd.nist.gov/vuln/detail/CVE-2026-22778
https://www.cve.org/CVERecord?id=CVE-2026-22778