CVE-2026-105760Medium· 5.3▾ SunlitvLLM 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 wit…
▾ Sunlit zone — Low / medium · no exploitation signal
impact 29.2 · likelihood 0 · exploitation 0
Need a working PoC? Pro members can cast a request and our team develops one — it lands right here.
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.
Refer to the linked advisories for vendor-supplied fixes and affected version ranges.
Affected packages:
vllm >= 0.23.0rc2, < 0.30.0Patched in:
vllm 0.30.0Connected by shared product, vendor, weakness, or advisory.
CVE-2026-105759Medium· 5.9vLLM is an inference and serving engine for large language models
CVE-2026-105758Medium· 5.3vLLM is an inference and serving engine for large language models
CVE-2026-105757Medium· 6.5vLLM is an inference and serving engine for large language models
CVE-2026-105754Medium· 6.5vLLM is an inference and serving engine for large language models
CVE-2026-105755Medium· 4.2vLLM is an inference and serving engine for large language models
CVE-2026-105756Medium· 6.5vLLM is an inference and serving engine for large language models