CVE-2026-105759
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the Rust frontend's track_http_metrics middleware record
CVSS
5.9
Medio
EPSS
0.4%
p29
KEV
—
Exploit Today
9
0-100
Publicado: 5 oct 2026 · Última mod.: 16 oct 2026 · CWE-400
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.
- github.comhttps://github.com/vllm-project/vllm/commit/3735c2d5f5248259482b9045c34fb7a8a3892352
- github.comhttps://github.com/vllm-project/vllm/pull/56058
- github.comhttps://github.com/vllm-project/vllm/releases/tag/v0.30.0
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-5fj9-pfhr-6j48
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-5fj9-pfhr-6j48