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CVE-2026-105760

medium

vLLM is an inference and serving engine for large language models.

Vendor / product: Vllm — vllm

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
5.3 (CVSS v3.1)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Severity source: NVD CVSS v3.1 (security-advisories@github.com)
Timeline (UTC)
Published: 2026-10-05 23:17
Modified: 2026-10-16 20:39
NVD status: Analyzed
Last synced 2 days ago
Verified against the source API 2026-10-27 06:57 UTC
Exploitation
Not listed in CISA KEV (as of last catalog sync)
Absence from KEV does not mean a CVE is not exploited. Exploitation status: unknown (no authoritative evidence in our sources).

Affected products

vllm / vllm ≥0.23.0 <0.30.0

Weakness classification (CWE)

Source: NVD / CISA. “NVD-CWE-Other” and “NVD-CWE-noinfo” mean NVD could not assign a specific weakness.

Mitigation & advisories

Vendor advisory: https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr
Patch / mitigation: https://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7
Patch / mitigation: https://github.com/vllm-project/vllm/pull/54935
Patch / mitigation: https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr

References

Data sources

NVD CVE API 2.0 — fetched 2026-10-27 06:57 UTC · record ↗

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