CVE-2026-18621: Red Hat OpenShift AI 2.25 · Incorrect Privilege Assignment
Affects Red Hat OpenShift AI 2.25Source CVE Database V5
Not known to be exploited · CVSS 7.6 High.
Data as of 8 Nov 2026, 23:24 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 44% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:LExploitation evidence
Disclosed: evidence found.
CVE published 10 Aug 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 8 Nov 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Red Hat OpenShift AI 2.25rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 2.25rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 3.3rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 3.4rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 3.4rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
| Red Hat OpenShift AI 3.4rhoai/odh-ml-pipelines-api-server-v2-rhel9 | Affected– | Fixed in– |
AI-suggested
To mitigate this vulnerability, enforce the Kubernetes pod security policy annotation `pod-security.kubernetes.io/enforce: restricted` on Data Science Project namespaces. Additionally, verify that the `pipeline-runner` ServiceAccount is not bound to privileged or anyuid Security Context Constraints (SCCs). These mitigations reduce the risk by preventing privileged pod creation through the vulnerable API path.
Description
A flaw was found in Data Science Pipelines (DSP). An attacker with namespace editor privileges can bypass security hardening by submitting a malicious Argo Workflow through the V1 API path. This allows the API server to create pods with elevated privileges, acting as a 'confused deputy' on behalf of the attacker. Successful exploitation grants the attacker node-root access, enabling arbitrary code execution and full control over the underlying node.
References
- access.redhat.com/security/cve/CVE-2026-18621 (opens in a new tab)
- bugzilla.redhat.com/show_bug.cgi?id=2510327 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:53263 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:53261 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:53262 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:60520 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:65126 (opens in a new tab)
- access.redhat.com/errata/RHSA-2026:84734 (opens in a new tab)