| Component | vLLM |
| Severity | medium (CVSS 5.3) |
| CVSS vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L |
| Published (NVD) | 2026-10-05 |
| Last modified | 2026-10-08 |
| Affected versions | vllm >= 0.24.0, < 0.30.0 |
| Fixed in | 0.30.0 |
| Weakness | CWE-770 |
| CISA KEV | not listed |
NVD 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.
What to do
- Upgrade vLLM to
0.30.0or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2026-105758
- https://github.com/vllm-project/vllm/security/advisories/GHSA-x6mc-67gf-chw4
- https://github.com/vllm-project/vllm/commit/ea723c81c3ea26425cb69503a5d5e90822a04a45
- https://github.com/vllm-project/vllm/pull/56729
- https://github.com/vllm-project/vllm/releases/tag/v0.30.0
Read more
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