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CVE-2026-27893 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). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user's explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue.

Produits et versions touchés

Produit Versions touchées Corrigé en
vllm 0.10 0.10.1 → < 0.18.0 0.18.0
Red Hat AI Inference Server 3.2 1779223651 premières → < 1779223651 1779223651
Red Hat AI Inference Server 3.3 1775749857 premières → < 1775749857 1775749857
Red Hat Enterprise Linux AI 3.3 1776938871 premières → < 1776938871 1776938871
Red Hat OpenShift AI 2.25 1783998857 premières → < 1783998857 1783998857
Red Hat OpenShift AI 3.3 1782996080 premières → < 1782996080 1782996080
Red Hat AI Inference Server Versions non publiées
Red Hat OpenShift AI (RHOAI) Versions non publiées

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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