CVE-2026-18951: falha de alta gravidade em Red Hat OpenShift AI 3.3
Odh-training-operator-rhel9: [trainer v2 security] trn-02: rhoai overlay aggregates trainjobs crud into standard edit clusterrole
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21Vexday Risk Score
Sem sinal de exploração. Nenhum artefato público de exploração conhecido até agora.
ssvc Trackcvss 8.8epss 0.9%
A flaw was found in the Red Hat OpenShift AI (RHOAI) overlay for the training operator. The RHOAI overlay incorrectly aggregates `trainjobs` management permissions into the native Kubernetes `edit ClusterRole`. This allows any user with `edit ClusterRole` permissions in a namespace to create, modify, and delete `TrainJobs`. When combined with a separate vulnerability (TRN-01) that permits arbitrary pod configurations, a remote attacker with namespace editor privileges could exploit this to escalate privileges, potentially leading to arbitrary code execution.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Produtos afetados
Red Hat · Red Hat OpenShift AI 3.3Red Hat · Red Hat OpenShift AI 3.4Red Hat · Red Hat OpenShift AI 3.5CVEs relacionadas — Red Hat OpenShift AI 3.3
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Referências
https://access.redhat.com/errata/RHSA-2026:53262https://access.redhat.com/errata/RHSA-2026:53263https://access.redhat.com/errata/RHSA-2026:60367https://access.redhat.com/errata/RHSA-2026:60520https://access.redhat.com/errata/RHSA-2026:73987https://access.redhat.com/security/cve/CVE-2026-18951https://bugzilla.redhat.com/show_bug.cgi?id=2511187