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9.8 Critique

CVE-2026-22778 vLLM is an inference and serving engine for large language models (LLMs)

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.

Produits et versions touchés

Produit Versions touchées Corrigé en
vllm 0.8 0.8.3 → < 0.14.1 0.14.1
Red Hat AI Inference Server 3.2 1772160625 premières → < 1772160625 1772160625
Red Hat OpenShift AI 2.25 1772093237 premières → < 1772093237 1772093237
Red Hat OpenShift AI 3.3 1770956034 premières → < 1770956034 1770956034
Red Hat AI Inference Server Versions non publiées
Red Hat Enterprise Linux AI (RHEL AI) 3 Versions non publiées
Red Hat OpenShift AI (RHOAI) Versions non publiées
Red Hat AI Inference Server 3.3 1782352847 premières → < 1782352847 1782352847

Références

Chronologie

  1. Publiée
  2. Dernière modification

Autres CVE de vllm

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CVE-2026-115918 vLLM is an inference and serving engine for large language models 6.5 Moyenne CVE-2026-115917 vLLM is an inference and serving engine for large language models 3.4 Faible CVE-2026-115916 vLLM is an inference and serving engine for large language models 6.5 Moyenne CVE-2026-115915 vLLM is an inference and serving engine for large language models 8.1 Élevée
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