CVE-2026-22778

Summary

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.

Impact & exploitability

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Affected products we track (1)

Recommendation

Apply the vendor fix promptly. Open any affected product above for its exact safe version.

Official patch: https://github.com/vllm-project/vllm/pull/31987 ↗

Additional information

• NVD record
• https://github.com/vllm-project/vllm/pull/31987Patch
• https://github.com/vllm-project/vllm/pull/32319Patch
• https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvvAdvisory
• https://github.com/vllm-project/vllm/releases/tag/v0.14.1