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CVE-2026-105758

Fixed in a distro release EPSS <1%CVSS 5.3

vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. This issue is fixed in version 0.30.0.

Published 2026-10-05 · CVE record · OSV

Products: vllm-project vllm

Fixed upstream

EcosystemPackageFixed in
PyPIvllm0.30.0

Distro releases

ReleasePackageFixed in
Chainguardkserve-huggingfaceserver-cuda-13.3no fix
Chainguardtritonserver-backend-vllm-cuda-13.025.11-r17
Chainguardvllm-cuda-13.20.32.0-r0
Chainguardvllm-openai-cuda-13.00.31.0-r0