CVE Watch8 oct 2026

CVE-2026-105758

vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend

CVSS

5.3

Medio

EPSS

0.3%

p22

KEV

—

Exploit Today

0-100

Publicado: 5 oct 2026 · Última mod.: 8 oct 2026 · CWE-770

EPSS · 30d

0.3%EPSS · 30 días0.3%

2026-10-062026-10-21

Descripción técnica

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.

Referencias oficiales

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