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Apply a restricted `securityContext` to the CronJob pod and implement network policies to limit egress to only required registry endpoints. Ensure the CronJob ServiceAccount is separate from the feature-server ServiceAccount."}], "timeline": [{"lang": "en", "time": "2026-08-04T17:42:47.179Z", "value": "Reported to Red Hat."}, {"lang": "en", "time": "2026-08-10T18:52:00.874Z", "value": "Made public."}], "providerMetadata": {"orgId": "53f830b8-0a3f-465b-8143-3b8a9948e749", "shortName": "redhat", "dateUpdated": "2026-08-10T20:44:46.202Z"}, "x_generator": {"engine": "cvelib 1.8.0"}}}}

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{"bugzilla": {"description": "feast-operator: Feast: feast apply CronJob runs user Python with feature-server SA \u2014 tenant code to SA token escalation", "id": "2511118", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2511118"}, "csaw": false, "cvss3": {"cvss3_base_score": "5.5", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:L/A:L", "status": "draft"}, "details": ["A flaw was found in the Feast operator. A malicious tenant could inject arbitrary code into their feature repository. This code would be executed by an automated process with elevated privileges, allowing the tenant to steal sensitive credentials. This could lead to a direct escalation of privileges, granting the tenant administrative control over the Kubernetes cluster."], "mitigation": {"lang": "en:us", "value": "Configure the Feast operator to use a dedicated, minimally-privileged ServiceAccount for the `feast apply` CronJob, ensuring `automountServiceAccountToken: false` is set. Apply a restricted `securityContext` to the CronJob pod and implement network policies to limit egress to only required registry endpoints. Ensure the CronJob ServiceAccount is separate from the feature-server ServiceAccount."}, "name": "CVE-2026-18942", "package_state": [{"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-feature-server-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-08-10T18:52:00Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-18942\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-18942"], "statement": "This Important vulnerability in Red Hat OpenShift AI allows a tenant to escalate privileges by controlling their feature repository. The Feast operator's `feast apply` CronJob executes arbitrary Python code from the repository with the feature-server's ServiceAccount permissions, enabling access to its token and potentially leading to cluster-admin equivalent access.", "threat_severity": "Important"}

{"created": "2026-08-10T22:45:05.169772+00:00", "updated": "2026-08-10T22:45:05.169777+00:00", "vendors": [], "weaknesses": ["CWE-94", "CWE-269"]}