vLLM is an inference and serving engine for large language models.
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
Read at NIST National Vulnerability Database (CVE API 2.0)
- Vendor
- Prometheus
- Product
- Prometheus / Alertmanager, AI / LLM tooling
- CVSS
- 5.9
- Fix
- available
- Exposure class
- Network management, AI infrastructure
Why it ranks 13 (Routine)
- CVSS 5.9 medium
- Product class: network management, AI infrastructure
- Fix available
- Recency: items published within 24 hours gain 15, within 72 hours 6, within 7 days 2.
Links
- NIST National Vulnerability Database (CVE API 2.0) (nvd.nist.gov)
- CVE-2026-105759 on this site · NVD · CVE.org · Vulnpedia
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