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VulnerabilityPublished

CVE-2026-83494: Red Hat OpenShift AI (RHOAI) · Protection Mechanism Failure

Affects Red Hat OpenShift AI (RHOAI)Source CVE Database V5

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Not known to be exploited.

Data as of 6 Nov 2026, 06:49 UTC

Severity
Medium

Rated Medium by Threat Radar's AI analysis · CVSS not yet scored by NVD

Thin evidence

One scorer or none

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 6 Nov 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 5 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
Red Hat OpenShift AI (RHOAI)rhoai/odh-training-operator-rhel9Affected–Fixed in–

AI-suggested

Red Hat currently states that no mitigation is available or that existing options do not meet their criteria for ease of use, applicability, or stability. Users should monitor Red Hat advisories for future updates or fixes. No immediate remediation is provided by the vendor at this time.

Description

CVE-2026-83494 is a vulnerability in the training-operator component of Red Hat OpenShift AI (RHOAI). It involves an incorrect object casting in the PyTorchJob ValidateUpdate webhook that allows authenticated users to bypass an immutability check. This flaw can enable users to detach a queued job from quota management or hijack a running job's controller ownership, primarily causing a denial of service (DoS) condition. Currently, no mitigation or fix meeting Red Hat's criteria is available.

References

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