CVE-2022-43930 in DB2
Summary
by MITRE • 02/17/2023
IBM Db2 for Linux, UNIX and Windows 10.5, 11.1, and 11.5 is vulnerable to an Information Disclosure as sensitive information may be included in a log file. IBM X-Force ID: 241677.
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Analysis
by VulDB Data Team • 03/18/2023
The vulnerability identified as CVE-2022-43930 affects IBM Db2 database management systems across Linux, UNIX, and Windows platforms in versions 10.5, 11.1, and 11.5. This information disclosure flaw represents a significant security concern within database environments where sensitive data protection is paramount. The vulnerability manifests when sensitive information becomes inadvertently included in log files generated by the Db2 system, potentially exposing confidential data to unauthorized parties who might gain access to these log repositories. Such exposures could include database credentials, user information, transaction details, or other proprietary data that should remain protected within the database environment.
The technical nature of this vulnerability stems from inadequate input validation and output sanitization within the logging mechanisms of IBM Db2. When database operations occur, the system generates log entries that should normally contain only operational information necessary for system monitoring and troubleshooting. However, in this case, the logging process fails to properly filter or sanitize sensitive data before writing it to log files. This flaw allows for the inclusion of confidential information within the standard logging output, creating potential attack vectors for adversaries who can access these log files either through direct system access, privilege escalation, or other means of unauthorized file access.
The operational impact of this vulnerability extends beyond simple data exposure, as it creates opportunities for more sophisticated attacks within database environments. Attackers who can access log files containing sensitive information may leverage this data for further exploitation attempts, including credential reuse attacks, social engineering operations, or targeted attacks against specific users or systems. The vulnerability particularly affects organizations that maintain extensive logging practices, as the volume and variety of log files increase the potential exposure surface. Additionally, compliance requirements in regulated industries such as finance, healthcare, and government sectors may be violated when sensitive information appears in log files, potentially resulting in regulatory penalties and legal consequences.
Organizations should implement multiple layers of mitigation strategies to address this vulnerability effectively. Immediate remediation involves applying the relevant IBM security patches and updates that address the information disclosure flaw in Db2 logging mechanisms. System administrators should also conduct thorough log file reviews to identify and remove any sensitive information that may have already been exposed in existing log files. Access controls for log file repositories should be strengthened through proper file permissions, network segmentation, and privilege management to limit access to authorized personnel only. The implementation of log file monitoring and alerting systems can help detect unusual access patterns or potential exposure of sensitive data within log files, providing early warning capabilities for security incidents. Organizations should also consider implementing data loss prevention solutions that can automatically identify and redact sensitive information from log files before they are written to persistent storage.
This vulnerability aligns with CWE-200, which specifically addresses Information Exposure, and represents a classic example of how insufficient data sanitization in logging systems can create security risks. From an adversarial perspective, this flaw fits within the attack pattern described by MITRE ATT&CK technique T1562.006, which covers "Impair Command History Logging" and related information disclosure techniques. The vulnerability demonstrates how seemingly benign operational components like logging can become security risks when proper data sanitization controls are not implemented, highlighting the importance of comprehensive security testing across all system components including operational support functions.