CVE-2016-8912 in Kenexa LMS on Cloud
Summary
by MITRE
IBM Kenexa LMS on Cloud 13.1 and 13.2 - 13.2.4 stores potentially sensitive information in in log files that could be read by an authenticated user.
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Analysis
by VulDB Data Team • 11/11/2022
The vulnerability identified as CVE-2016-8912 affects IBM Kenexa Learning Management System on Cloud versions 13.1 through 13.2.4, representing a significant security weakness in the platform's logging mechanisms. This issue stems from the system's improper handling of sensitive data within its logging infrastructure, creating an avenue for unauthorized information exposure. The vulnerability specifically targets the storage practices of potentially sensitive information within log files, which are accessible to authenticated users who may not have legitimate access to such data.
The technical flaw manifests in the system's logging architecture where sensitive information is written to log files without adequate protection mechanisms. This includes data that should remain confidential, such as user credentials, personal identification information, or other proprietary data that could be exploited by malicious actors. The vulnerability is classified under CWE-312, which addresses the improper handling of sensitive information, specifically focusing on the exposure of sensitive data in logs. When authenticated users gain access to these log files, they can potentially extract confidential information that was not intended for their access level, creating a privilege escalation scenario.
The operational impact of this vulnerability extends beyond simple information disclosure, as it creates a persistent risk for organizations utilizing the affected IBM Kenexa platform. Attackers who can authenticate to the system, whether through legitimate means or by compromising credentials, can systematically access log files to gather intelligence about other users, system configurations, or business-critical data. This risk is particularly concerning in enterprise environments where the learning management system may contain sensitive employee training records, performance data, or other confidential information. The vulnerability aligns with ATT&CK technique T1070.001, which covers the use of log data for information gathering and reconnaissance activities.
Organizations should implement multiple layers of mitigation to address this vulnerability effectively. The primary recommendation involves configuring the logging system to sanitize or redact sensitive information before writing to log files, ensuring that authentication tokens, passwords, or personal data are not stored in plain text. System administrators should also implement strict access controls on log file directories, ensuring that only authorized personnel with legitimate audit purposes can access these files. Additionally, regular log file audits should be conducted to verify that sensitive data is not being inadvertently stored. The implementation of centralized logging solutions with proper filtering mechanisms can further reduce the risk of sensitive information exposure. Organizations should also consider implementing data loss prevention measures that monitor log file access patterns and alert on suspicious activities. Compliance with security standards such as ISO 27001 and NIST SP 800-53 requires organizations to maintain proper logging practices that protect sensitive information while maintaining system operational integrity. The vulnerability demonstrates the critical importance of proper information handling in cloud-based applications where data residency and access control become paramount considerations for enterprise security.