Red Hat Multicluster Engine for Kubernetes Hive sensitive information

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.6$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in Red Hat Multicluster Engine for Kubernetes and Advanced Cluster Management for Kubernetes. This affects an unknown function of the component Hive. The manipulation leads to sensitive information. This vulnerability is referenced as CVE-2025-2241. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in Red Hat Multicluster Engine for Kubernetes and Advanced Cluster Management for Kubernetes (affected version not known). This issue affects some unknown functionality of the component Hive. The manipulation with an unknown input leads to a sensitive information vulnerability. Using CWE to declare the problem leads to CWE-922. The product stores sensitive information without properly limiting read or write access by unauthorized actors. Impacted is confidentiality. The summary by CVE is:

A flaw was found in Hive, a component of Multicluster Engine (MCE) and Advanced Cluster Management (ACM). This vulnerability causes VCenter credentials to be exposed in the ClusterProvision object after provisioning a VSphere cluster. Users with read access to ClusterProvision objects can extract sensitive credentials even if they do not have direct access to Kubernetes Secrets. This issue can lead to unauthorized VCenter access, cluster management, and privilege escalation.

The advisory is shared at access.redhat.com. The identification of this vulnerability is CVE-2025-2241 since 03/12/2025. The exploitation is known to be difficult. The attack may be initiated remotely. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/18/2026). MITRE ATT&CK project uses the attack technique T1592 for this issue.

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-2025-6523). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.6
VulDB Meta Temp Score: 5.6

VulDB Base Score: 3.1
VulDB Temp Score: 3.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 8.2
CNA Vector (redhat): 🔍

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Sensitive information
CWE: CWE-922 / 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 Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

03/12/2025 🔍
03/17/2025 +5 days 🔍
03/17/2025 +0 days 🔍
03/18/2026 +366 days 🔍

Sourcesinfo

Vendor: redhat.com

Advisory: access.redhat.com
Status: Confirmed

CVE: CVE-2025-2241 (🔍)
GCVE (CVE): GCVE-0-2025-2241
GCVE (VulDB): GCVE-100-299945
EUVD: 🔍

Entryinfo

Created: 03/17/2025 19:50
Updated: 03/18/2026 22:26
Changes: 03/17/2025 19:50 (61), 09/25/2025 06:11 (1), 03/18/2026 22:26 (1)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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