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CVE-2025-36090: CWE-209 Generation of Error Message Containing Sensitive Information in IBM Analytics Content Hub

Medium
VulnerabilityCVE-2025-36090cvecve-2025-36090cwe-209
Published: Thu Jul 10 2025 (07/10/2025, 14:12:55 UTC)
Source: CVE Database V5
Vendor/Project: IBM
Product: Analytics Content Hub

Description

IBM Analytics Content Hub 2.0, 2.1, 2.2, and 2.3 could allow a remote attacker to obtain information about the application framework which could be used in reconnaissance to gather information for future attacks from a detailed technical error message.

AI-Powered Analysis

AILast updated: 07/10/2025, 14:46:53 UTC

Technical Analysis

CVE-2025-36090 is a medium-severity vulnerability identified in IBM Analytics Content Hub versions 2.0 through 2.3. The issue stems from the generation of detailed error messages that inadvertently disclose sensitive information about the underlying application framework. Specifically, when an error occurs, the application returns technical details that can be accessed remotely by an attacker without user interaction but requires some level of privileges (PR:L). This information leakage falls under CWE-209, which involves the exposure of sensitive data through error messages. Such detailed error disclosures can aid attackers in reconnaissance activities by revealing internal system configurations, software versions, or other implementation details that can be leveraged to craft more targeted and effective attacks. The CVSS 3.1 base score of 4.3 reflects a vulnerability that is network exploitable with low attack complexity, no user interaction, and limited confidentiality impact, with no effect on integrity or availability. No known exploits are currently reported in the wild, and no patches have been linked yet, indicating that the vulnerability is newly disclosed or under vendor review. The vulnerability does not require user interaction but does require some level of privileges, which may limit exploitation to authenticated users or insiders. Overall, this vulnerability represents an information disclosure risk that could facilitate further attacks if combined with other vulnerabilities or social engineering techniques.

Potential Impact

For European organizations using IBM Analytics Content Hub, this vulnerability poses a risk primarily in the form of information leakage. The exposure of internal application framework details can assist attackers in mapping the environment and identifying additional vulnerabilities to exploit. While the direct impact on confidentiality is limited, the indirect consequences could be significant if attackers use the disclosed information to escalate privileges, bypass security controls, or launch targeted attacks such as phishing or exploitation of other vulnerabilities. Organizations in sectors with high reliance on analytics platforms—such as finance, manufacturing, telecommunications, and government—may face increased risk due to the strategic value of the data processed by IBM Analytics Content Hub. Additionally, compliance with GDPR and other data protection regulations in Europe mandates minimizing unnecessary data exposure, and this vulnerability could be viewed as a compliance risk if sensitive internal information is leaked. The requirement for some privilege level reduces the risk from external unauthenticated attackers but does not eliminate threats from malicious insiders or compromised accounts. Therefore, the vulnerability could be a stepping stone in multi-stage attacks against European enterprises.

Mitigation Recommendations

To mitigate CVE-2025-36090, European organizations should implement the following specific measures: 1) Monitor IBM's official security advisories closely for patches or updates addressing this vulnerability and apply them promptly once available. 2) Review and harden error handling configurations in IBM Analytics Content Hub to ensure that error messages do not reveal sensitive internal details; this may involve customizing error pages or disabling verbose error reporting in production environments. 3) Enforce strict access controls and privilege management to limit the number of users with sufficient privileges to trigger detailed error messages, thereby reducing the attack surface. 4) Implement robust logging and monitoring to detect unusual access patterns or repeated error message requests that could indicate reconnaissance attempts. 5) Conduct regular security assessments and penetration testing focused on information disclosure vectors within the analytics platform. 6) Educate administrators and developers about secure error handling best practices to prevent similar issues in custom integrations or extensions. 7) Employ network segmentation and application-layer firewalls to restrict external access to the IBM Analytics Content Hub management interfaces, especially for privileged operations. These targeted actions go beyond generic advice by focusing on error message management, privilege restriction, and proactive monitoring tailored to the nature of this vulnerability.

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Technical Details

Data Version
5.1
Assigner Short Name
ibm
Date Reserved
2025-04-15T21:16:14.710Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 686fceada83201eaaca818f6

Added to database: 7/10/2025, 2:31:09 PM

Last enriched: 7/10/2025, 2:46:53 PM

Last updated: 7/10/2025, 8:16:11 PM

Views: 5

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