VDB

CVE-2026-105760

CVE-2026-105760 PUBLISHED CVSS 5.3 MEDIUM

Reported by GitHub_M · Published October 5, 2026

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.

Risk Scores

CVSS 3.1
5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

Affected Products

VendorProductVersions
vllm-projectvllm>= 0.23.0rc2, < 0.30.0
PyPIvllm0.23.0-rc.2
chainguardtritonserver-backend-vllm-cuda-13.00
chainguardvllm-cuda-13.20
chainguardvllm-openai-cuda-13.00
vllm-projectvllm0.23.0rc2

Timeline

  • Oct 5, 2026 CVE Published
  • Oct 6, 2026 EPSS Score
  • Oct 6, 2026 Coalition ESS Score
  • Oct 6, 2026 CVE Updated
  • Oct 9, 2026 EPSS Score
  • Oct 13, 2026 EPSS Score
  • Oct 15, 2026 EPSS Score
  • Oct 17, 2026 EPSS Score
  • Oct 20, 2026 EPSS Score
  • Oct 21, 2026 EPSS Score
  • Oct 24, 2026 EPSS Score
  • Oct 25, 2026 EPSS Score
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