Resource Exhaustion Affecting vllm-cu129 package, versions <0.30.0-r0
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-MINIMOSLATEST-VLLMCU129-20542086
- published7 Oct 2026
- disclosed5 Oct 2026
Introduced: 5 Oct 2026
NewCVE-2026-105760 (opens in a new tab)How to fix?
Upgrade Minimos:latest vllm-cu129 to version 0.30.0-r0 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream vllm-cu129 package and not the vllm-cu129 package as distributed by Minimos.
See How to fix? for Minimos:latest relevant fixed versions and status.
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.
References
- https://www.cve.org/CVERecord?id=CVE-2026-105760
- https://github.com/advisories/GHSA-58v5-2m8f-94pr
- https://osv.dev/vulnerability/MINI-m33q-hwgg-4x7m
- https://osv.dev/vulnerability/CVE-2026-105760
- https://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7
- https://github.com/vllm-project/vllm/pull/54935
- https://github.com/vllm-project/vllm/releases/tag/v0.30.0
- https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr