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CVE-2026-105760 Details

Description

vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. 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/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7	[email protected]
https://github.com/vllm-project/vllm/pull/54935	[email protected]
https://github.com/vllm-project/vllm/releases/tag/v0.30.0	[email protected]
https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr	[email protected]

Weakness Enumeration

CWE-ID	CWE Name	Source
CWE-400	Uncontrolled Resource Consumption	[email protected]

Affected Products

No affected product data is available for this CVE.

Change History

1 change record found show changes