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6.5 Moyenne

CVE-2026-44222 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 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder sequences supplied without matching data cause vLLM to index into empty grids during input-position computation, raising an unhandled IndexError and terminating the worker or degrading availability. Multimodal paths that rely on image_grid_thw/video_grid_thw are affected. This vulnerability is fixed in 0.20.0.

Produits et versions touchés

Produit Versions touchées Corrigé en
vllm 0.6 0.6.1 → < 0.20.0 0.20.0

Références

Chronologie

  1. Publiée
  2. Dernière modification

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