CVE-2026-105760
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.
Published:Oct 5, 2026
Last Modified:Oct 16, 2026
EPS:Oct 5, 2026
EPSS Score:0.00302
CVSS Score:5.3
Affected Products
Vendor
Product
Action
Vendor
Vllm
Product
Vllm
Vllm
Vllm
Vendor
Vllm-project
Product
Vllm
Vllm-project
Vllm
Exploits
No exploit reference
Common Weakness Enumeration
Common Attack Pattern Enumeration and Classification (CAPEC)
Related CVEs
Common Vulnerability Scoring System
Attack Vector
Network
Adjacent
Local
Physical
Privileges Required
None
Low
High
User Interaction
None
Required
Scope
Unchanged
Changed
Confidentiality
None
Low
High
Integrity
None
Low
High
Availability
None
Low
High
