CVE-2026-105760
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
CVSS
5.3
Medio
EPSS
0.3%
p21
KEV
—
Exploit Today
6
0-100
Publicado: 5 oct 2026 · Última mod.: 16 oct 2026 · CWE-400
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.
- github.comhttps://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7
- github.comhttps://github.com/vllm-project/vllm/pull/54935
- github.comhttps://github.com/vllm-project/vllm/releases/tag/v0.30.0
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr