{"schemaVersion":3,"id":"CVE-2026-105758","aliases":["GHSA-x6mc-67gf-chw4","CGA-3gvr-6hg2-7j3p","CGA-5rw2-62r4-fhm4","CGA-c7r3-88f4-vhp8","CGA-f5j6-rj34-q93m","CGA-fv29-v5cr-wchf","PYSEC-2026-4310"],"status":"published","duplicateOf":null,"title":null,"description":"vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. 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