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 vLLMs 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.

Weakness

The product writes sensitive information to a log file.

Potential Mitigations

Related Attack Patterns

• https://cwe.mitre.org/data/definitions/215.html

References

• 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