CVE Catalog

CVE-2026-105760

MediumCVSS 5.3
Published: Updated: Translated: NVD NIST

Exploitation Probability (EPSS)

Low risk
0.30%

21th percentile - higher than 21% of all known CVEs

Summary

In vLLM before 0.30.0, a caller can use the media_io_kwargs field to select the GLMGA video backend and supply large fps and max_frames values without a strict work ceiling, causing disproportionate CPU and memory consumption.

Risk Assessment

An attacker can send a compact request with a tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor, potentially causing denial of service.

Recommendation

Upgrade vLLM to version 0.30.0 or later, which includes a fix for this issue.

Other vulnerabilities in vLLM

See all
Original NVD description (English source)

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.

Vulnerability data from NVD (NIST) · CISA KEV · EPSS