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VulnerabilityPublished Updated

CVE-2026-15581: Red Hat OpenShift AI 2.25 · Missing Authentication

Affects Red Hat OpenShift AI 2.25Source CVE Database V5

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Not known to be exploited · CVSS 8.0 High.

Data as of 8 Nov 2026, 23:24 UTC

CVSS 3.1 base score
8.0High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 36% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 10 Aug 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 8 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
Red HatRed Hat OpenShift AI 2.25Affected–Fixed in–
Red HatRed Hat OpenShift AI 2.25Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.3Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.4Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.4Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.5Affected–Fixed in–

AI-suggested

Until a fix is available, consider restricting pod network access to the TAS backend API and monitor for unauthorized access attempts. Customers with Red Hat Technical Account Managers (TAM) can consult directly for tailored mitigation advice.

Description

A flaw was found in the TrustyAI Service (TAS) deployment. This vulnerability allows any pod on the cluster network to bypass authentication and directly access the TAS backend API. An attacker can exploit this to read, tamper with, or delete monitoring data and configurations, and inject arbitrary data into the service, potentially disrupting tenant operations.

References

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