CVE-2023-40694 in Watson CP4D Data Stores
Summary
by MITRE • 05/08/2024
IBM Watson CP4D Data Stores 4.0.0 through 4.8.4 stores potentially sensitive information in log files that could be read by a local user. IBM X-Force ID: 264838.
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Analysis
by VulDB Data Team • 08/20/2025
IBM Watson CP4D Data Stores version 4.0.0 through 4.8.4 contains a security vulnerability that allows local users to access potentially sensitive information stored in log files. This flaw represents a classic information disclosure vulnerability where system logs inadvertently capture and retain data that should remain confidential. The vulnerability stems from improper log file handling practices where sensitive data elements such as authentication tokens, user credentials, or proprietary information are written to log files without adequate sanitization or access controls. According to CWE-200, this falls under the category of "Information Exposure" where system information is exposed to unauthorized users. The local user access aspect indicates that an attacker with local system access can read these log files directly, bypassing network-based security controls. This vulnerability aligns with ATT&CK technique T1005 which involves data from local system sources, specifically targeting the collection of information from log files and system logs. The impact of this vulnerability extends beyond simple information disclosure as it can provide attackers with credentials or other sensitive data that could be leveraged for further attacks or privilege escalation within the system environment.
The technical implementation of this vulnerability involves the logging subsystem within the CP4D Data Stores platform where various system operations, user activities, or internal processes write data to log files without proper filtering or encryption mechanisms. The affected versions span a significant release range indicating this may be a long-standing issue within the product lifecycle. Log files typically contain detailed operational information for debugging, monitoring, and auditing purposes but should not contain sensitive material that could compromise system security. The vulnerability specifically affects the data storage and logging components of the platform, making it particularly concerning for environments where sensitive data processing occurs. When local users can access these log files, they gain access to potentially valuable information that could include API keys, session tokens, database connection strings, or other credentials that are critical to maintaining system security. This represents a serious concern for compliance requirements as many regulatory frameworks mandate proper handling of sensitive information and restrict access to such data.
Organizations using IBM Watson CP4D Data Stores within the affected version range face significant operational risks from this vulnerability. The local access requirement does not diminish the threat level, as local privilege escalation attacks, insider threats, or compromised accounts can all provide the necessary access to exploit this vulnerability. The potential for credential theft or exposure of proprietary information makes this a critical concern for enterprises handling sensitive data. Security monitoring teams may inadvertently expose sensitive information through log analysis activities if proper log file access controls are not implemented. The vulnerability can be exploited to gain insights into system operations, user behavior, or internal system architecture that could be used for more sophisticated attacks. This type of information exposure can lead to cascading security issues where initial access through log file reading can be used as a foothold for further reconnaissance or lateral movement within the network. The impact is particularly severe in regulated environments where such exposure could violate compliance requirements under frameworks like gdpr, hipaa, or soc 2.
Mitigation strategies for this vulnerability should focus on implementing comprehensive log file security measures and access controls. Organizations should immediately review and restrict access to log files, ensuring that only authorized personnel with legitimate operational needs can access these files. The implementation of log file encryption, proper access control lists, and regular log file auditing should be prioritized. System administrators should implement log sanitization processes that remove or obfuscate sensitive information before writing to log files. Configuration management practices should be updated to ensure that log files are stored in secure locations with appropriate file permissions and that sensitive data is not included in standard logging operations. Regular security assessments should include log file access reviews and monitoring for unauthorized access attempts. The IBM Watson CP4D Data Stores platform should be updated to versions that address this vulnerability, and organizations should implement monitoring solutions that can detect unusual access patterns to log files. Additionally, implementing principle of least privilege access controls for local system accounts and regular security training for personnel handling system logs can significantly reduce the risk of exploitation. Organizations should also consider implementing automated log analysis tools that can detect and alert on potential information disclosure incidents in real-time.