CVE-2023-50342 in DRYiCE MyXalytics
Summary
by MITRE • 01/03/2024
HCL DRYiCE MyXalytics is impacted by an Insecure Direct Object Reference (IDOR) vulnerability. A user can obtain certain details about another user as a result of improper access control.
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Analysis
by VulDB Data Team • 06/04/2025
The vulnerability identified as CVE-2023-50342 affects HCL DRYiCE MyXalytics, a business intelligence and analytics platform that enables organizations to collect, process, and analyze data from various sources. This platform serves as a critical component in enterprise data management systems where users access dashboards, reports, and analytical tools to make informed business decisions. The affected system operates within environments where multiple users interact with shared data resources, making proper access control mechanisms essential for maintaining data integrity and privacy. Organizations relying on this platform for their analytical workflows face significant risks when such access control mechanisms are compromised.
The technical flaw manifests as an Insecure Direct Object Reference vulnerability classified under CWE-284, which occurs when an application provides direct access to objects based on user-supplied input without proper authorization checks. In this specific case, the vulnerability allows authenticated users to access sensitive information belonging to other users by manipulating object references within the application's API endpoints or web interface. The flaw typically arises from improper validation of user permissions when processing requests that reference user-specific data objects, enabling unauthorized data disclosure through predictable or manipulable object identifiers.
The operational impact of this vulnerability extends beyond simple data exposure, creating potential risks for data privacy, regulatory compliance, and business operations. Attackers exploiting this vulnerability can access confidential user information including personal details, access patterns, analytical reports, and potentially sensitive business intelligence that could be used for competitive advantage or further exploitation. The vulnerability undermines the fundamental security principle of least privilege, allowing users to bypass normal access controls and access data they should not be authorized to view. This creates cascading effects where compromised user data can lead to additional attacks through credential harvesting, social engineering opportunities, or insider threat exploitation.
Mitigation strategies for this vulnerability should encompass both immediate technical fixes and long-term security enhancements. Organizations must implement proper access control mechanisms that validate user permissions before granting access to any data objects, utilizing role-based access controls and ensuring that all object references are properly validated. The implementation of parameterized access controls and robust authentication checks should be prioritized to prevent unauthorized object access. Security measures should include regular access control audits, input validation of all user-supplied parameters, and comprehensive logging of access attempts to detect anomalous behavior. Additionally, organizations should consider implementing the principle of least privilege, ensuring that users only have access to data necessary for their specific roles. This vulnerability aligns with ATT&CK technique T1078 which addresses valid accounts and privilege escalation, emphasizing the need for comprehensive access control measures to prevent unauthorized data access and maintain system integrity across enterprise analytics platforms.