CVE-2026-105758

01/תיאור (מקור, אנגלית)

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.

02/מוצרים מושפעים

vllm: vllm

03/קישורים4

• github.com/vllm-project/vllm/security/advisories/GHSA-x6mc-67g‮… MitigationVendor Advisory
• github.com/vllm-project/vllm/commit/ea723c81c3ea26425cb69503a5‮… Patch
• github.com/vllm-project/vllm/pull/56729 Issue TrackingPatch
• github.com/vllm-project/vllm/releases/tag/v0.30.0 Release Notes