CVE-2026-105760

Published: Ott 06, 2026 Last Modified: Ott 06, 2026

ExploitDB:

Other exploit source:

Google Dorks:

MEDIUM 5,3

Source: [email protected]

Attack Vector: network

Attack Complexity: low

Privileges Required: none

User Interaction: none

Scope: unchanged

Confidentiality: none

Integrity: none

Availability: low

Description

AI Translation Available

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.

400

Uncontrolled Resource Consumption

Draft

Abstraction: Class Structure: Simple

Common Consequences

Security Scopes Affected:

Availability Access Control Other

Potential Impacts:

Dos: Crash, Exit, Or Restart Dos: Resource Consumption (Cpu) Dos: Resource Consumption (Memory) Dos: Resource Consumption (Other) Bypass Protection Mechanism Other