CVE-2026-105759
highvLLM is an inference and serving engine for large language models.
Vendor / product: Vllm — vllm
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.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Affected products
Weakness classification (CWE)
Source: NVD / CISA. “NVD-CWE-Other” and “NVD-CWE-noinfo” mean NVD could not assign a specific weakness.
Mitigation & advisories
References
- https://github.com/vllm-project/vllm/commit/3735c2d5f5248259482b9045c34fb7a8a3892352 security-advisories@github.com
- https://github.com/vllm-project/vllm/pull/56058 security-advisories@github.com
- https://github.com/vllm-project/vllm/releases/tag/v0.30.0 security-advisories@github.com
- https://github.com/vllm-project/vllm/security/advisories/GHSA-5fj9-pfhr-6j48 security-advisories@github.com
- https://github.com/vllm-project/vllm/security/advisories/GHSA-5fj9-pfhr-6j48 134c704f-9b21-4f2e-91b3-4a467353bcc0