CVE-2026-7163 (GCVE-0-2026-7163)
Vulnerability from cvelistv5 – Published: 2026-04-30 13:18 – Updated: 2026-09-07 12:05
VLAI
EPSS
VEX
Title
Assisted-service: assisted-service: authenticated users can gain administrative access to openshift clusters via credential disclosure
Summary
A vulnerability in the assisted-service REST API, an optional Assisted Installer (assisted-service) component in the Multicluster Engine (MCE), allows an authenticated user with minimal namespace-scoped privileges to obtain administrative credentials for arbitrary clusters provisioned through the hub.
The credentials download endpoint (GET /v2/clusters/{cluster_id}/credentials, which returns the kubeadmin password) and the kubeconfig download endpoint are operational in AUTH_TYPE=local mode, the only authentication mode available in on-premises ACM/MCE hub deployments. The local authenticator unconditionally grants full administrative access to any request bearing a valid JWT, with no per-endpoint restrictions. A valid local JWT is embedded as a plaintext query parameter in InfraEnvStatus.ISODownloadURL and is readable by any user who has get rights on an InfraEnv object in their own namespace.
The affected components ship as part of Multicluster Engine (MCE). The Red Hat Advanced Cluster Management (ACM) deployments that include MCE are equally affected.
This issue does not affect the hosted SaaS offering (console.redhat.com), which uses a different authentication mode.
Successful exploitation gives the attacker the kubeadmin password and kubeconfig for any OpenShift cluster provisioned through the affected hub, granting unrestricted root-level administrative access to those spoke clusters.
Severity
6.1 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-30 13:35 UTC
CWE
- CWE-312 - Cleartext Storage of Sensitive Information
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://access.redhat.com/errata/RHSA-2026:11511 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:11512 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:12116 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:12337 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:18584 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:18585 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/security/cve/CVE-2026-7163 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2463152 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
Impacted products
7 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
|
Affected:
2.7.0 , < 2.7.10
(semver)
Affected: 2.9.0 , < 2.9.4 (semver) Affected: 2.10.0 , < 2.10.2 (semver) Affected: 2.11.0 , < 2.11.1 (semver) |
||||
| Red Hat | multicluster engine for Kubernetes 2.1 |
Unaffected:
1776983527 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.10::el9 |
||
| Red Hat | multicluster engine for Kubernetes 2.11 |
Unaffected:
1776987609 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.11::el9 |
||
| Red Hat | multicluster engine for Kubernetes 2.7 |
Unaffected:
1777205801 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.7::el8 |
||
| Red Hat | multicluster engine for Kubernetes 2.7 |
Unaffected:
1777205772 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.7::el9 |
||
| Red Hat | multicluster engine for Kubernetes 2.9 |
Unaffected:
1778464111 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.9::el8 |
||
| Red Hat | multicluster engine for Kubernetes 2.9 |
Unaffected:
1778464072 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.9::el9 |
Date Public
2026-04-30 12:00
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.
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.
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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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.