Description
A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.
Affected products
Version statuses are supplied by the assigning organization. Consult the original record for detailed ranges and platform conditions.
Red Hat Red Hat OpenShift AI 2.25
Default version status: affected
1785189332 to < *unaffected
Red Hat Red Hat OpenShift AI 2.25
Default version status: affected
1788182334 to < *unaffected
Red Hat Red Hat OpenShift AI 3.3
Default version status: affected
1785187936 to < *unaffected
Red Hat Red Hat OpenShift AI 3.4
Default version status: affected
1784833428 to < *unaffected
Red Hat Red Hat OpenShift AI 3.4
Default version status: affected
1787002057 to < *unaffected
Red Hat Red Hat OpenShift AI 3.5
Default version status: affected
1786552271 to < *unaffected
Red Hat Red Hat OpenShift AI 3.5
Default version status: affected
1786552250 to < *unaffected
References
- https://access.redhat.com/errata/RHSA-2026:53261 ↗
- https://access.redhat.com/errata/RHSA-2026:53262 ↗
- https://access.redhat.com/errata/RHSA-2026:53263 ↗
- https://access.redhat.com/errata/RHSA-2026:60367 ↗
- https://access.redhat.com/errata/RHSA-2026:60520 ↗
- https://access.redhat.com/errata/RHSA-2026:65126 ↗
- https://access.redhat.com/security/cve/CVE-2026-18608 ↗
- https://bugzilla.redhat.com/show_bug.cgi?id=2510296 ↗