CVE-2023-22949 in Enterprise Free Edition
Summary
by MITRE • 04/14/2023
An issue was discovered in TigerGraph Enterprise Free Edition 3.x. There is logging of user credentials. All authenticated GSQL access requests are logged by TigerGraph in multiple places. Each request includes both the username and password of the user in an easily decodable base64 form. That could allow a TigerGraph administrator to effectively harvest usernames/passwords.
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Analysis
by VulDB Data Team • 10/05/2025
The vulnerability identified as CVE-2023-22949 represents a critical security flaw in TigerGraph Enterprise Free Edition version 3.x that directly violates fundamental security principles regarding credential handling and logging practices. This issue exposes user authentication information through improper logging mechanisms, creating an inherent risk that can be exploited by malicious actors with access to the system's logging infrastructure. The flaw manifests in the way the system processes and records authenticated GSQL access requests, where both username and password components are systematically captured and stored in log files using base64 encoding without proper sanitization or encryption measures.
The technical implementation of this vulnerability stems from the application's logging architecture that fails to properly distinguish between sensitive authentication data and regular operational information. When users authenticate through GSQL access requests, the system automatically captures and logs these credentials in a manner that is easily reversible and accessible to anyone with appropriate privileges to read the log files. The use of base64 encoding in this context does not provide meaningful security protection since base64 is a simple encoding scheme that can be quickly decoded without requiring specialized tools or significant computational resources. This logging behavior creates a persistent exposure that allows unauthorized access to user credentials through simple file system access or log analysis tools.
The operational impact of this vulnerability extends beyond simple credential theft, as it fundamentally undermines the trust model of the authentication system and creates potential for lateral movement within the network. Attackers who gain access to the logging infrastructure can harvest multiple user credentials simultaneously, enabling them to impersonate legitimate users and potentially escalate privileges within the TigerGraph environment. This vulnerability directly relates to CWE-542 which addresses the inclusion of sensitive information in log files, and it aligns with ATT&CK technique T1567 which covers credential harvesting through log file access. The exposure of authentication data in this manner can lead to unauthorized access to graph databases, data exfiltration, and potential compromise of the entire graph analytics platform.
The security implications of this vulnerability are particularly concerning given that it affects the free edition of TigerGraph Enterprise, which is often deployed in environments where security controls may be less stringent than in enterprise-grade deployments. System administrators who are unaware of this logging behavior may inadvertently expose user credentials through routine log file analysis or backup operations. The vulnerability demonstrates a lack of proper security by design principles in the logging implementation, where authentication data should be treated as highly sensitive information requiring special handling and protection. Organizations using this software must consider immediate remediation actions, including implementing log file access controls, modifying logging configurations to exclude sensitive data, and potentially migrating to versions that address this specific vulnerability.
Mitigation strategies should focus on immediate configuration changes that prevent credential logging while maintaining operational visibility into system activities. Organizations should implement log file access controls that restrict read permissions to only authorized personnel, deploy log monitoring systems that can detect and alert on credential exposure patterns, and ensure that all log files are properly encrypted both at rest and in transit. The implementation of proper input validation and sanitization techniques should be enforced to prevent any future occurrences of similar issues, while also considering the adoption of more robust logging frameworks that can properly handle sensitive data. Additionally, security awareness training for system administrators should emphasize the importance of understanding logging behaviors and their potential security implications, particularly in systems where authentication data may be inadvertently exposed through automated logging processes.