
🟠 vLLM, Resource Exhaustion via GLMGA Video Sampling, #CVE-2026-105760 (Medium) -DC-Oct2026-2746 https://dailycve.com/vllm-resource-exhaustion-via-glmga-video-sampling-cve-2026-105760-medium-dc-oct2026-2746/
Signal is active with 1 mentions in latest observed window
Recommended action window: Monitor and triage in normal cycle
NVD description
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.
Priority
LOW
Exploitation
NONE
PoC
NONE
Patch
NONE
Momentum
NONE

🟠 vLLM, Resource Exhaustion via GLMGA Video Sampling, #CVE-2026-105760 (Medium) -DC-Oct2026-2746 https://dailycve.com/vllm-resource-exhaustion-via-glmga-video-sampling-cve-2026-105760-medium-dc-oct2026-2746/