Vulnerability-Lookup

GHSA-H7XH-QC2M-RC58

Vulnerability from github – Published: 2026-08-10 21:32 – Updated: 2026-08-11 06:31

Details

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.

Severity

8.8 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2026-18951"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-10T21:17:21Z",
    "severity": "HIGH"
  },
  "details": "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.",
  "id": "GHSA-h7xh-qc2m-rc58",
  "modified": "2026-08-11T06:31:18Z",
  "published": "2026-08-10T21:32:07Z",
  "references": [
    {
      "type": "ADVISORY",
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    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:53263"
    },
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      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-18951"
    },
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  "severity": [
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      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-18951 (GCVE-0-2026-18951)

Vulnerability from cvelistv5 – Published: 2026-08-10 20:45 – Updated: 2026-08-11 18:39

Title

Odh-training-operator-rhel9: [trainer v2 security] trn-02: rhoai overlay aggregates trainjobs crud into standard edit clusterrole

Summary

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.

Severity

8.8 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Assigner

redhat

References

4 references

URL	Tags
https://access.redhat.com/errata/RHSA-2026:53262	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2026:53263	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/security/cve/CVE-2026-18951	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2511187	issue-trackingx_refsource_REDHAT

Impacted products

2 products

Vendor	Product	Version
Red Hat	Red Hat OpenShift AI 3.3	Unaffected: 1785188461 , < * (rpm) cpe:/a:redhat:openshift_ai:3.3::el9
Red Hat	Red Hat OpenShift AI 3.4	Unaffected: 1784814352 , < * (rpm) cpe:/a:redhat:openshift_ai:3.4::el9

Date Public

2026-08-10 18:54

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{
  "containers": {
    "cna": {
      "affected": [
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.3::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-training-operator-rhel9",
          "product": "Red Hat OpenShift AI 3.3",
          "vendor": "Red Hat",
          "versions": [
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              "lessThan": "*",
              "status": "unaffected",
              "version": "1785188461",
              "versionType": "rpm"
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          "packageName": "rhoai/odh-training-operator-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1784814352",
              "versionType": "rpm"
            }
          ]
        }
      ],
      "datePublic": "2026-08-10T18:54:28.946Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "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."
        }
      ],
      "metrics": [
        {
          "other": {
            "content": {
              "namespace": "https://access.redhat.com/security/updates/classification/",
              "value": "Critical"
            },
            "type": "Red Hat severity rating"
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        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
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        "dateUpdated": "2026-08-11T18:39:07.124Z",
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          "tags": [
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          "url": "https://access.redhat.com/errata/RHSA-2026:53262"
        },
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          "name": "RHSA-2026:53263",
          "tags": [
            "vendor-advisory",
            "x_refsource_REDHAT"
          ],
          "url": "https://access.redhat.com/errata/RHSA-2026:53263"
        },
        {
          "tags": [
            "vdb-entry",
            "x_refsource_REDHAT"
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          "url": "https://access.redhat.com/security/cve/CVE-2026-18951"
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        {
          "name": "RHBZ#2511187",
          "tags": [
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          "time": "2026-08-04T19:04:31.363Z",
          "value": "Reported to Red Hat."
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          "time": "2026-08-10T18:54:28.946Z",
          "value": "Made public."
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      "workarounds": [
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          "value": "Administrators should review and adjust their Kubernetes RBAC configurations within Red Hat OpenShift AI to ensure that `trainjobs` permissions are explicitly managed. This involves removing `trainjobs` from the `aggregate-to-edit` ClusterRole labels or requiring explicit `RoleBinding` for `trainjobs` access. This prevents implicit permission grants to namespace editors and reduces the attack surface. Consult Kubernetes documentation for specific instructions on modifying ClusterRoles and RoleBindings. A restart or reload of affected components may be required for changes to take effect."
        }
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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.

Action not permitted

GHSA-H7XH-QC2M-RC58

CVE-2026-18951 (GCVE-0-2026-18951)

Tags

Sightings

Nomenclature