FKIE_CVE-2025-12103
Vulnerability from fkie_nvd - Published: 2025-10-28 14:15 - Updated: 2026-10-18 21:10
Severity
Summary
A flaw was found in Red Hat Openshift AI Service. The TrustyAI component is granting all service accounts and users on a cluster permissions to get, list, watch any pod in any namespace on the cluster.
TrustyAI is creating a role `trustyai-service-operator-lmeval-user-role` and a CRB `trustyai-service-operator-default-lmeval-user-rolebinding` which is being applied to `system:authenticated` making it so that every single user or service account can get a list of pods running in any namespace on the cluster
Additionally users can access all `persistentvolumeclaims` and `lmevaljobs`
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:2.25::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-ta-lmes-driver-rhel9",
"product": "Red Hat OpenShift AI 2.25",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "1776243252",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
"cpe:/a:redhat:openshift_ai:3.0::el9"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-trustyai-service-operator-rhel9",
"product": "Red Hat OpenShift AI 3.0",
"vendor": "Red Hat",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "v3.0.0-1762251316",
"versionType": "rpm"
}
]
},
{
"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
"cpes": [
"cpe:/a:redhat:openshift_ai"
],
"defaultStatus": "affected",
"packageName": "rhoai/odh-trustyai-service-operator-rhel8",
"product": "Red Hat OpenShift AI (RHOAI)",
"vendor": "Red Hat"
}
],
"source": "secalert@redhat.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in Red Hat Openshift AI Service. The TrustyAI component is granting all service accounts and users on a cluster permissions to get, list, watch any pod in any namespace on the cluster.\n\nTrustyAI is creating a role `trustyai-service-operator-lmeval-user-role` and a CRB `trustyai-service-operator-default-lmeval-user-rolebinding` which is being applied to `system:authenticated` making it so that every single user or service account can get a list of pods running in any namespace on the cluster \n\nAdditionally users can access all `persistentvolumeclaims` and `lmevaljobs`"
},
{
"lang": "es",
"value": "Se encontr\u00f3 una vulnerabilidad en el servicio Red Hat Openshift AI. El componente TrustyAI est\u00e1 otorgando a todas las cuentas de servicio y usuarios en un cl\u00faster permisos para obtener, listar, observar cualquier pod en cualquier espacio de nombres en el cl\u00faster.\n\nTrustyAI est\u00e1 creando un rol \u0027trustyai-service-operator-lmeval-user-role\u0027 y un CRB \u0027trustyai-service-operator-default-lmeval-user-rolebinding\u0027 que se est\u00e1 aplicando a \u0027system:authenticated\u0027 haciendo que cada usuario o cuenta de servicio pueda obtener una lista de pods ejecut\u00e1ndose en cualquier espacio de nombres en el cl\u00faster.\n\nAdem\u00e1s, los usuarios pueden acceder a todos los \u0027persistentvolumeclaims\u0027 y \u0027lmevaljobs\u0027."
}
],
"id": "CVE-2025-12103",
"lastModified": "2026-10-18T21:10:00.120",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 1.4,
"source": "secalert@redhat.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-12103",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-10-28T13:43:51.831220Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-10-28T14:15:55.847",
"references": [
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/errata/RHSA-2025:21117"
},
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/errata/RHSA-2026:10184"
},
{
"source": "secalert@redhat.com",
"url": "https://access.redhat.com/security/cve/CVE-2025-12103"
},
{
"source": "secalert@redhat.com",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2405966"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-266"
}
],
"source": "secalert@redhat.com",
"type": "Secondary"
}
]
}
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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