| 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 | 2026-10-06 |
| Affected versions | < 0.30.0 read from the advisory text: NVD has not published CPE data yet |
| Fixed in | 0.30.0 |
| Weakness | CWE-400 |
| CISA KEV | not listed |
NVD 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.
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-2026-105760
- https://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7
- https://github.com/vllm-project/vllm/pull/54935
- https://github.com/vllm-project/vllm/releases/tag/v0.30.0
- https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr
Read more
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