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CVE-2026-105759

🔶 medium
🔍 Scan for this CVE
Summary

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 enl

Description

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 Score
5.9
Medium
EPSS Score
0.3
Exploit Probability
Published Date
2026-10-05
First Seen: 2026-10-08
📊 Relative Risk Intelligence

This CVE is Lower Risk - more severe than 32.1% of all 365,616 vulnerabilities in our database.

#248,255
Below average severity
Severity Percentile
🎯 CISA SSVC Assessment Updated: Oct 6, 2026
🔍 Exploitation Status
Poc
Proof-of-concept available
⚙️ Automatable
NO
Requires human interaction
💥 Technical Impact
Partial
Limited system impact
SSVC data provided by CISA
Last Modified 2026-10-06
Source NVD 🔗
CVSS Vector 3.1 CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE IDs (Weakness Types)

📦 Affected Products 0

No affected products information available

🔗 References 4