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. This issue is fixed in version 0.30.0.
Metrics
Affected Vendors & Products
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History
Thu, 08 Oct 2026 03:30:00 +0000
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| CPEs | cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* | |
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| 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. This issue is fixed in version 0.30.0. | |
| Title | vLLM: Qwen2-VL / Qwen3-VL video samplers bound on request-controlled max_frames, which the num_frames ceiling does not reach | |
| Weaknesses | CWE-770 | |
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| Metrics |
cvssV3_1
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Status: PUBLISHED
Assigner: GitHub_M
Published: 2026-10-05T22:54:53.846Z
Updated: 2026-10-08T02:32:27.776Z
Reserved: 2026-10-05T19:11:07.947Z
Link: CVE-2026-105758
Updated: 2026-10-08T02:32:23.702Z
Status : Analyzed
Published: 2026-10-05T23:17:02.610
Modified: 2026-10-08T03:16:35.407
Link: CVE-2026-105758