medium5.3
CVE-2026-105760
vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion
Impact
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.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | vllm | >= 0.23.0rc2, < 0.30.0 | 0.30.0 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Vllm | Vllm | from 0.23.0 before 0.30.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/advisories/GHSA-58v5-2m8f-94pr
- https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr
- https://github.com/vllm-project/vllm/pull/54935
- https://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7
- https://github.com/vllm-project/vllm/releases/tag/v0.30.0