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VulnerabilityPublished Updated

CVE-2026-18608: Red Hat OpenShift AI 2.25 · Execution with Unnecessary Privileges

Affects Red Hat OpenShift AI 2.25Source CVE Database V5

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Not known to be exploited · CVSS 8.7 High.

Data as of 7 Nov 2026, 23:24 UTC

CVSS 3.1 base score
8.7High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.7% chance of exploitation in 30 days – higher than 53% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 10 Aug 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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

ProductAffectedFixed in
Red HatRed Hat OpenShift AI 2.25Affected–Fixed in–
Red HatRed Hat OpenShift AI 2.25Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.3Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.4Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.4Affected–Fixed in–
Red HatRed Hat OpenShift AI 3.5Affected–Fixed in–

AI-suggested

Administrators should immediately review and modify the ClusterRole associated with the Data Science Pipelines Operator (DSPO) to remove unnecessary permissions such as pods/exec, kubeflow.org */*, seldondeployments *, and broad apiGroups:'*'. The ClusterRole should be restricted to only required resources like apps/deployments, services, secrets, configmaps, roles/rolebindings, routes, networkpolicies, servicemonitors, and DSPA/Argo CRDs. After applying these changes, restart the DSPO pod to ensure updated permissions take effect. Careful validation is necessary to avoid impacting operator functionality.

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.

References

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