CVE-2026-83494: Red Hat training-operator immutability bypass in PyTorchJob webhook

CVE-2026-83494 · Severity: info · Published 2026-11-06

Red Hat's training-operator manages machine learning job scheduling in OpenShift AI. An authentication bypass vulnerability allows authenticated users to alter job parameters after creation, potentially disrupting resource allocation or taking control of running jobs, leading to service outages.

Technologies: Red Hat OpenShift AI. Vendors: Red Hat.

Quick answers

Is CVE-2026-83494 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2026-83494 being exploited in the wild.
How severe is CVE-2026-83494?
Informational severity, published 6 November 2026.
Which products and versions are affected?
Red Hat OpenShift AI <UNKNOWN>.
Is there a fix for CVE-2026-83494?
No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.
How is CVE-2026-83494 attacked?
It is attacked over the network, in a hosted service.
Am I affected by CVE-2026-83494?
Check whether you run Red Hat OpenShift AI at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

Technical details

An incorrect object casting flaw in the PyTorchJob ValidateUpdate webhook fails to properly validate immutability of the spec.runPolicy.managedBy field, allowing authenticated users to bypass this protection. Attackers can detach queued jobs from quota management or hijack controller ownership of running jobs, causing denial of service. The vulnerability is in the training-operator component's webhook validation logic and requires authentication to exploit.

Affected products

  • Red Hat OpenShift AI <UNKNOWN>

Timeline

  • 2026-11-06: disclosed

References

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