cbcvebase.
CVE-2026-44222
published 2026-05-12

CVE-2026-44222: 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…

PriorityP345high7.5CVSS 3.1
AVNACLPRNUINSUCNINAH
EPSS
0.41%
33.1th percentile
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.

Affected

3 ranges
VendorProductVersion rangeFixed in
vllm-projectvllm
vllmvllm>= 0.6.1 < 0.20.00.20.0
vllmvllm>= 0.6.1 < 0.20.00.20.0
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