CVE-2026-83493: Red Hat OpenShift AI (RHOAI) · Untrusted Functionality Inclusion
Affects Red Hat OpenShift AI (RHOAI)Source CVE Database V5
Not known to be exploited.
Data as of 6 Nov 2026, 06:50 UTC
Rated by Threat Radar · 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-cuda128-torch29-py312-rhel9 | Affected– | Fixed in– |
AI-suggested
The vulnerability has been mitigated by deleting the vulnerable pull_request_target workflow and removing the SNYK_TOKEN secret. Red Hat states that no other mitigation options meet their criteria for ease of use, applicability, or stability. Users should ensure that the vulnerable workflow is removed and secrets are rotated as necessary.
Description
CVE-2026-83493 is a vulnerability in the pull_request_target workflow of the Red Hat OpenShift AI (RHOAI) distributed-workloads repository. A remote attacker can submit a specially crafted pull request that executes untrusted code with access to sensitive repository secrets such as the SNYK_TOKEN and the default write token. This allows exfiltration of these secrets, potentially leading to unauthorized access to the Snyk integration and control over the repository. The vulnerability has been remediated by deleting the vulnerable workflow and removing the exposed secrets.