CVE-2023-36331 in xmall
Summary
by MITRE • 01/12/2026
Incorrect access control in the /member/orderList API of xmall v1.1 allows attackers to arbitrarily access other users' order details via manipulation of the query parameter userId.
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Analysis
by VulDB Data Team • 01/13/2026
The vulnerability identified as CVE-2023-36331 represents a critical access control flaw within the xmall v1.1 e-commerce platform that exposes sensitive user data through improper authorization mechanisms. This issue specifically affects the /member/orderList API endpoint where the application fails to properly validate user permissions when processing requests. The vulnerability stems from a lack of proper authentication and authorization checks that should verify whether the requesting user has legitimate access to view specific order information. Attackers can exploit this weakness by manipulating the userId query parameter to retrieve order details belonging to other users, effectively bypassing the intended access controls that should restrict data visibility to only the authenticated user who owns those orders.
The technical implementation of this vulnerability manifests through insufficient input validation and authorization logic within the API endpoint. When the system processes requests to the /member/orderList endpoint, it accepts a userId parameter that should be validated against the authenticated user's session or token. However, the application fails to cross-reference the provided userId parameter with the actual authenticated user context, allowing attackers to substitute their own userId value with that of another user. This flaw falls under the CWE-285 category of Improper Authorization, specifically addressing inadequate access control mechanisms that permit unauthorized data access. The vulnerability essentially creates a path where any authenticated user can escalate their privileges to view other users' order history by simply modifying the userId parameter in their API requests.
The operational impact of this vulnerability extends beyond simple data exposure, creating significant security risks for both the platform and its users. Attackers can potentially access sensitive personal information including purchase history, billing addresses, shipping details, and product preferences of other customers, which could lead to identity theft, targeted phishing attacks, or social engineering campaigns. The breach of user privacy and data confidentiality violates fundamental security principles and could result in regulatory compliance violations under data protection regulations such as gdpr and ccpa. Additionally, the compromised system integrity may enable attackers to gather intelligence about user behavior patterns, which could be leveraged for more sophisticated attacks including account takeover attempts or targeted fraud operations. This vulnerability directly maps to the attack technique T1566 in the ATT&CK framework, specifically targeting credential access through manipulation of authentication mechanisms.
Mitigation strategies for this vulnerability require immediate implementation of proper access control validation mechanisms. The system must enforce strict authorization checks that validate the userId parameter against the authenticated user context before returning any order information. This includes implementing session-based validation where the system verifies that the requesting user's session token matches the userId parameter in the request. Organizations should also implement proper input sanitization and parameter validation to prevent malicious manipulation of API parameters. The recommended solution involves modifying the API endpoint logic to ensure that any request to retrieve order information must include proper authentication tokens that are verified against the intended user context. Additionally, implementing audit logging for order access attempts can help detect unauthorized access patterns and provide forensic evidence for security investigations. Regular security testing and code reviews should be conducted to identify similar access control vulnerabilities across the application's API endpoints, ensuring comprehensive protection against privilege escalation attacks.