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CVE-2026-105758 Details

Description

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.

Metrics

CVSS 3.x Severity and Vector Strings:

CNA: [email protected]CVSS-B:5.3 MEDIUMVector:CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

References to Advisories, Solutions, and Tools

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URL	Source(s)	Tag(s)
https://github.com/vllm-project/vllm/commit/ea723c81c3ea26425cb69503a5d5e90822a04a45	[email protected]
https://github.com/vllm-project/vllm/pull/56729	[email protected]
https://github.com/vllm-project/vllm/releases/tag/v0.30.0	[email protected]
https://github.com/vllm-project/vllm/security/advisories/GHSA-x6mc-67gf-chw4	[email protected]

Weakness Enumeration

CWE-ID	CWE Name	Source
CWE-770	Allocation of Resources Without Limits or Throttling	[email protected]

Affected Products

No affected product data is available for this CVE.

Change History

1 change record found show changes