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CVE-2026-105759
MEDIUM(5.9)CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Risk Signal Score15/100 — NIEDRIG
- CVSS 5.9 — Mittel
Erwähnungen (letzte 60 Tage)
Artikel
EPSS-Score
0.4%
Exploit-Wahrscheinlichkeit (30 Tage)
CVSS Score
5.9
Technische Schwere
Beschreibung
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.
Betroffene Produkte
- cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*
Referenzen
- https://github.com/vllm-project/vllm/commit/3735c2d5f5248259482b9045c34fb7a8a389...
- 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
- https://github.com/vllm-project/vllm/security/advisories/GHSA-5fj9-pfhr-6j48