Red Hat Multicluster Engine for Kubernetes InfraEnv.status.conditions[].message insertion of sensitive information into sent data
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.9 | $5k-$25k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Red Hat Multicluster Engine for Kubernetes. The impacted element is an unknown function. Performing a manipulation of the argument InfraEnv.status.conditions[].message results in insertion of sensitive information into sent data. This vulnerability is known as CVE-2026-10101. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability, which was classified as problematic, was found in Red Hat Multicluster Engine for Kubernetes (version now known). This affects some unknown processing. The manipulation of the argument InfraEnv.status.conditions[].message with an unknown input leads to a insertion of sensitive information into sent data vulnerability. CWE is classifying the issue as CWE-201. The code transmits data to another actor, but a portion of the data includes sensitive information that should not be accessible to that actor. This is going to have an impact on confidentiality. The summary by CVE is:
ACM/MCE assisted-service writes raw referenced pull-secret contents into `InfraEnv.status.conditions[].message` when pull-secret validation fails. A namespace principal with the stock `view` ClusterRole cannot directly read Secrets, but can read `InfraEnv` objects and recover the referenced Secret's `.dockerconfigjson` data from status. This bypasses the Kubernetes/OpenShift RBAC separation between read-only namespace viewers and Secret readers. In the reproduced proof, the same ServiceAccount was denied `get` and `list` on Secrets, but recovered synthetic pull-secret `username`, `password`, `email`, and base64 `auth` fields through `InfraEnv.status`.
It is possible to read the advisory at access.redhat.com. This vulnerability is uniquely identified as CVE-2026-10101 since 05/29/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 05/30/2026). The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-33342). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
License
Website
- Vendor: https://www.redhat.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.9VulDB Meta Temp Score: 4.9
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.3
CNA Vector (redhat): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Insertion of sensitive information into sent dataCWE: CWE-201 / CWE-200 / CWE-284
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
05/29/2026 Advisory disclosed05/29/2026 CVE reserved
05/29/2026 VulDB entry created
05/30/2026 VulDB entry last update
Sources
Vendor: redhat.comAdvisory: access.redhat.com
Status: Confirmed
CVE: CVE-2026-10101 (🔒)
GCVE (CVE): GCVE-0-2026-10101
GCVE (VulDB): GCVE-100-367275
EUVD: 🔒
Entry
Created: 05/29/2026 18:58Updated: 05/30/2026 12:56
Changes: 05/29/2026 18:58 (62), 05/30/2026 12:56 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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