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CVE-2026-22778

Fixed in a distro release EPSS 19%CVSS 9.8

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.

Published 2026-02-02 · CVE record · OSV

Products: vllm-project vllm, Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.3, Red Hat OpenShift AI 2.25, Red Hat OpenShift AI 3.3, Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI)

Fixed upstream

EcosystemPackageFixed in
PyPIvllm0.14.1

Distro releases

ReleasePackageFixed in
Chainguardtritonserver-backend-vllm-cuda-12.925.9.0_git20260318-r0
Chainguardtritonserver-backend-vllm-cuda-12.925.9.0_git20251112-r7
Chainguardtritonserver-backend-vllm-cuda-12.925.9.0_git20251112-r6
Chainguardtritonserver-backend-vllm-cuda-13.025.11-r2