Copyright © 2012 Red Hat, Inc. All rights reserved. Moderate 2026-07-08T18:43:36 guardrails-detectors: guardrails-detectors: Unauthenticated Regular-Expression Denial of Service (ReDoS) via detector_params.regex 6.5 CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H CWE-1333

A flaw was found in `guardrails-detectors`, a component of Red Hat OpenShift AI. This vulnerability, known as Regular Expression Denial of Service (ReDoS), allows a remote attacker to provide specially crafted regular expressions to the public detection API. This can cause catastrophic backtracking, leading to a worker process consuming 100% CPU indefinitely and resulting in a denial of service for the entire guardrails-mediated LLM pipeline.

A flaw was found in `guardrails-detectors`, a component of Red Hat OpenShift AI. This vulnerability, known as Regular Expression Denial of Service (ReDoS), allows a remote attacker to provide specially crafted regular expressions to the public detection API. This can cause catastrophic backtracking, leading to a worker process consuming 100% CPU indefinitely and resulting in a denial of service for the entire guardrails-mediated LLM pipeline.

This Moderate impact vulnerability in `guardrails-detectors` within Red Hat OpenShift AI allows an unauthenticated attacker on an adjacent network to trigger a Regular Expression Denial of Service (ReDoS). By sending a crafted regular expression to the public detection API, an attacker can consume worker processes indefinitely, leading to a denial of service for the guardrails-mediated LLM pipeline or a bypass of guardrail protections. Exploitation requires network adjacency, as end-users do not directly interact with the vulnerable API. Red Hat OpenShift AI (RHOAI) Fix deferred rhoai/odh-built-in-detector-rhel9 https://www.cve.org/CVERecord?id=CVE-2026-15154 https://nvd.nist.gov/vuln/detail/CVE-2026-15154