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VulnerabilityPublished Updated

CVE-2026-15154: ReDoS

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Authoritative record:CVE-2026-15154· Medium 6.5

Not known to be exploited · CVSS 6.5 Medium · fixed in Red Hat OpenShift AI 2.25 package updates : update Red Hat OpenShift AI 2.25 guardrails-detectors when convenient.

Data as of 9 Nov 2026, 23:24 UTC

CVSS 3.1 base score
6.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 41% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.25.10
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 8 Jul 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 9 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
GitHubguardrails-detectorspkg:github/guardrails-detectorsOther threatsAffected
  • =0
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Red Hat has released updated images and version 2.25.10 of Red Hat OpenShift AI that address this vulnerability. Users should upgrade to version 2.25.10 or later to remediate this issue. Follow the official Red Hat documentation for instructions on upgrading the cluster and fully applying the errata update. No additional mitigation actions are required beyond applying the official fix.

Description

A Regular Expression Denial of Service (ReDoS) vulnerability (CVE-2026-15154) exists in the guardrails-detectors component of Red Hat OpenShift AI. This vulnerability allows remote attackers to send specially crafted regular expressions to the public detection API, causing catastrophic backtracking and resulting in a worker process consuming 100% CPU indefinitely. This leads to denial of service for the guardrails-mediated large language model pipeline. The issue affects specific versions of Red Hat OpenShift AI and has been assigned a medium severity rating with a CVSS score of 6.5. Red Hat has released updated images and version 2.25.10 to address this vulnerability.

References

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