{"id":"CVE-2026-105760","published":"2026-10-05T23:17:02.903","lastModified":"2026-10-06T15:17:15.257","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.","cvssScore":5.3,"cvssSeverity":"MEDIUM","cvssVector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L","cwes":["CWE-400"],"vendors":[],"products":[],"references":[{"url":"https://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7","tags":[]},{"url":"https://github.com/vllm-project/vllm/pull/54935","tags":[]},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.30.0","tags":[]},{"url":"https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr","tags":[]}],"exploitRefs":[{"url":"https://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7","tags":[]},{"url":"https://github.com/vllm-project/vllm/pull/54935","tags":[]},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.30.0","tags":[]},{"url":"https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr","tags":[]}],"hasPoc":true,"ai":null}