CVE-2026-83494: CWE-693
Source GCVE Database
Not known to be exploited.
Data as of 6 Nov 2026, 10:48 UTC
Rated Medium by Threat Radar's AI analysis · CVSS not yet scored by NVD
Thin evidence
One scorer or noneExploitation evidence
Disclosed: evidence found.
CVE published 6 Nov 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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
| Product | Affected | Fixed in |
|---|---|---|
| Red Hat OpenShift AI (RHOAI)rhoai/odh-training-operator-rhel9 | Affected– | Fixed in– |
AI-suggested
No effective mitigation or fix currently meets Red Hat Product Security criteria for this vulnerability. Users should monitor Red Hat advisories for future updates or fixes. Until a fix is available, limiting authenticated user permissions and monitoring job management activities may reduce risk but are not confirmed mitigations.
Description
A vulnerability in the training-operator component of Red Hat OpenShift AI allows authenticated users to bypass an immutability check on PyTorchJob resources. This flaw arises from incorrect object casting in the PyTorchJob ValidateUpdate webhook, enabling alteration of the spec.runPolicy.managedBy field after job creation. Exploitation could disrupt resource quota management or hijack job controller ownership, primarily causing a denial of service (DoS) condition. Currently, no effective mitigation or fix meeting Red Hat's criteria is available.