Medium 5.3Published Oct 5, 2026

CVE-2026-105760vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion

Updated under an hour ago (2026-10-19 08:30 UTC)

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No exploitation reported and no EPSS estimate yet.

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Every CVE for vllm-project vllm

Exploited in the last 30 days

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.

CVSS: 5.3 MEDIUM (v3.1, CNA)CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Weakness (CWE): CWE-400
Known exploited: Not in CISA's KEV catalog
EPSS (exploitation in the next 30 days): Not loaded for this CVE
Assigned by: GitHub_M
NVD analysis: Analyzed
Record last updated: Oct 6, 2026
First seen by InfoSec Signals: Oct 9, 2026

Affected products

Affected products

vllm-project vllm vllm_project:vllm (from the name)	from 0.23.0rc2, < 0.30.0	CNA record
vllm vllm vllm:vllm	from 0.23.0 before 0.30.0	NVD

References

https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94prx-refsource-confirm, mitigation, vendor-advisory
https://github.com/vllm-project/vllm/pull/54935x-refsource-misc, issue-tracking, patch
https://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7x-refsource-misc, patch
https://github.com/vllm-project/vllm/releases/tag/v0.30.0x-refsource-misc, release-notes

The CVE record on cve.org NVD's entry

The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.