6.5
/ 10
MEDIUM
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
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.
Basic Information
ID
CVE-2026-44222
Source
GitHub_M
Published
May 12, 2026 at 19:57
Affected Product
Vendor
vllm-project
Product
vllm
Version
>= 0.6.1, < 0.20.0
Affected Versions
vllm-project vllm >= 0.6.1, < 0.20.0