CVE-2026-105759
MEDIUM
5,9
Source: [email protected]
Attack Vector: network
Attack Complexity: high
Privileges Required: none
User Interaction: none
Scope: unchanged
Confidentiality: none
Integrity: none
Availability: high
Description
AI Translation Available
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the Rust frontend's track_http_metrics middleware records the raw HTTP method token as a Prometheus label for requests reaching registered routes. An unauthenticated attacker can send unique arbitrary method tokens to unguarded routes such as /tokenize, causing Prometheus's Family::get_or_create function to permanently create counter and histogram label sets. Those label sets increase process memory usage and enlarge the /metrics response until the service or monitoring path is exhausted. This issue is fixed in version 0.30.0.
400
Uncontrolled Resource Consumption
DraftCommon 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
Applicable Platforms
Technologies:
Not Technology-Specific, AI/ML
https://github.com/vllm-project/vllm/commit/3735c2d5f5248259482b9045c34fb7a8a38…
https://github.com/vllm-project/vllm/pull/56058
https://github.com/vllm-project/vllm/releases/tag/v0.30.0
https://github.com/vllm-project/vllm/security/advisories/GHSA-5fj9-pfhr-6j48