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Medium nvd · CVE-2026-105759

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_metri

Published Oct 5, 2026 CVSS 5.9

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.

Affected AI Products

large language model vllm
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