CVE-2026-105760
Fixed in a distro release EPSS <1%CVSS 5.3
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.
Products: vllm-project vllm
Fixed upstream
| Ecosystem | Package | Fixed in |
|---|---|---|
| PyPI | vllm | 0.30.0 |
Distro releases
| Release | Package | Fixed in |
|---|---|---|
| Chainguard | kserve-huggingfaceserver-cuda-13.3 | no fix |
| Chainguard | tritonserver-backend-vllm-cuda-13.0 | 25.11-r17 |
| Chainguard | vllm-cuda-13.2 | 0.32.0-r0 |
| Chainguard | vllm-openai-cuda-13.0 | 0.31.0-r0 |