{"schemaVersion":3,"id":"CVE-2026-105760","aliases":["GHSA-58v5-2m8f-94pr","CGA-38gh-2g8v-3m25","CGA-g6m7-6j9c-44c2","CGA-qgh5-vpr9-xx54","CGA-rq7m-59mx-rjmm","CGA-rwrf-cmm6-vr96","PYSEC-2026-4307"],"status":"published","duplicateOf":null,"title":"vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion","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.","dates":{"published":"2026-10-05T23:01:54.972Z","modified":"2026-10-06T14:39:17.058Z","reserved":null,"kevAdded":[],"kevDue":[]},"cvss":{"headline":{"score":5.3,"severity":"medium","version":"3.1","versionLabel":"v3.1","source":"CVE.org","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L","computed":false,"selection":"backend-summary"},"metrics":[{"version":"3.1","versionLabel":"v3.1","source":"CVE.org","score":5.3,"severity":"medium","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L","exploitability":null,"impact":null,"computed":false},{"version":"3.1","versionLabel":"v3.1","source":"OSV · 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