A flaw was found in guardrails-detectors, a component of Red Hat OpenShift AI. (CVE-2026-15154)
A Regular Expression Denial of Service (ReDoS) vulnerability (CVE-2026-15154) was found in guardrails-detectors, a component of Red Hat OpenShift AI. This flaw allows a remote attacker to send specially crafted regular expressions to the public detection API, causing catastrophic backtracking. The result is a worker process consuming 100% CPU indefinitely, leading to denial of service for the guardrails-mediated large language model (LLM) pipeline. The vulnerability affects specific versions of Red Hat OpenShift AI and has a medium severity rating with a CVSS score of 6.5. Updated images and a fixed version 2.25.10 are available from Red Hat to address this issue.
AI Analysis
Technical Summary
CVE-2026-15154 is a Regular Expression Denial of Service (ReDoS) vulnerability in the guardrails-detectors component of Red Hat OpenShift AI. The flaw allows remote attackers to submit crafted regular expressions to the public detection API, triggering catastrophic backtracking that causes a worker process to consume 100% CPU indefinitely. This leads to denial of service for the entire guardrails-mediated LLM pipeline. The vulnerability affects versions >=2.25.0 <2.25.10 and >=3.3.0 <3.4.3. Red Hat has released updated images and version 2.25.10 to mitigate this issue.
Potential Impact
An attacker can cause a denial of service by exhausting CPU resources of a worker process indefinitely, disrupting the guardrails-mediated LLM pipeline in Red Hat OpenShift AI. There is no impact on confidentiality or integrity reported. The denial of service is local to the affected component but can affect availability of the AI pipeline.
Mitigation Recommendations
Red Hat has released version 2.25.10 of Red Hat OpenShift AI which includes a fix for this vulnerability. Users should upgrade to version 2.25.10 or later to remediate this issue. Updated container images are also available from Red Hat's registry. Follow Red Hat's official documentation for instructions on upgrading your cluster and applying this errata update. No other mitigation is required as the fix is available.
A flaw was found in guardrails-detectors, a component of Red Hat OpenShift AI. (CVE-2026-15154)
Description
A Regular Expression Denial of Service (ReDoS) vulnerability (CVE-2026-15154) was found in guardrails-detectors, a component of Red Hat OpenShift AI. This flaw allows a remote attacker to send specially crafted regular expressions to the public detection API, causing catastrophic backtracking. The result is a worker process consuming 100% CPU indefinitely, leading to denial of service for the guardrails-mediated large language model (LLM) pipeline. The vulnerability affects specific versions of Red Hat OpenShift AI and has a medium severity rating with a CVSS score of 6.5. Updated images and a fixed version 2.25.10 are available from Red Hat to address this issue.
CVSS v3.1
Score 6.5medium
Affected software
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-15154 is a Regular Expression Denial of Service (ReDoS) vulnerability in the guardrails-detectors component of Red Hat OpenShift AI. The flaw allows remote attackers to submit crafted regular expressions to the public detection API, triggering catastrophic backtracking that causes a worker process to consume 100% CPU indefinitely. This leads to denial of service for the entire guardrails-mediated LLM pipeline. The vulnerability affects versions >=2.25.0 <2.25.10 and >=3.3.0 <3.4.3. Red Hat has released updated images and version 2.25.10 to mitigate this issue.
Potential Impact
An attacker can cause a denial of service by exhausting CPU resources of a worker process indefinitely, disrupting the guardrails-mediated LLM pipeline in Red Hat OpenShift AI. There is no impact on confidentiality or integrity reported. The denial of service is local to the affected component but can affect availability of the AI pipeline.
Mitigation Recommendations
Red Hat has released version 2.25.10 of Red Hat OpenShift AI which includes a fix for this vulnerability. Users should upgrade to version 2.25.10 or later to remediate this issue. Updated container images are also available from Red Hat's registry. Follow Red Hat's official documentation for instructions on upgrading your cluster and applying this errata update. No other mitigation is required as the fix is available.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-jm96-7wvj-j3r9
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-15154"]
- Database Specific Severity
- MODERATE
- Cvss Version
- 3.1
- State
- PUBLISHED
Patch Information
Threat ID: 6a7c9b7dbf8831d539ce15d3
Added to database: 08/12/2026, 16:12:45 UTC
Last enriched: 09/13/2026, 13:21:19 UTC
Last updated: 09/27/2026, 01:47:40 UTC
Views: 82
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