CVE-2026-110613 in youlai-mall
Summary
by MITRE • 10/14/2026
youlai-mall through commit 9f62de8 contains a missing authorization vulnerability that allows authenticated members to view every customer's orders via the app order list endpoint. Attackers can page through the oms_order table using a self-registered account to read order ids, order_sn values, member ids, payment amounts, and order status.
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Analysis
by VulDB Data Team • 10/15/2026
The identified vulnerability in youlai-mall represents a critical failure in access control mechanisms, specifically categorized under CWE-284 Improper Access Control. This flaw manifests as an Insecure Direct Object Reference (IDOR) within the application's mobile API layer, allowing authenticated users to bypass intended restrictions and access data belonging to other entities. The root cause lies in the implementation of the app order list endpoint, which fails to validate whether the requesting user possesses authorization for the specific orders being retrieved. Instead of binding the query parameters strictly to the session or token identity of the current user, the backend logic likely relies on client-supplied identifiers or lacks sufficient server-side filtering based on the authenticated principal's unique identifier. This architectural oversight enables any registered member to enumerate and view order details associated with arbitrary customer accounts by manipulating request parameters such as page numbers or specific order identifiers.
From an operational perspective, this vulnerability facilitates a severe breach of data confidentiality for all users within the system. By leveraging a self-registered account, an attacker can systematically paginate through the oms_order table, extracting sensitive personally identifiable information and financial data. The exposed fields include order IDs, unique order serial numbers (order_sn), member identifiers, payment amounts, and current order statuses. This level of access allows for comprehensive profiling of customer behavior, purchase history, and spending habits without requiring elevated privileges or complex exploitation techniques beyond basic HTTP request manipulation. The ability to scrape this data en masse poses significant risks including identity theft, targeted phishing campaigns using accurate personal details, and potential financial fraud if the payment amounts and order statuses are correlated with other compromised systems.
The technical execution of this attack is straightforward due to the lack of server-side validation checks that ensure the requested resource belongs to the authenticated user. In a secure implementation, every request to retrieve order data must be cross-referenced against an access control list or ownership verification logic tied to the user's session context. The absence of such controls means that the application treats all valid authentication tokens as equivalent in terms of data visibility scope regarding orders. This aligns with MITRE ATT&CK technique T1078, Valid Accounts, where attackers leverage legitimate credentials to access resources they are not authorized to view. Furthermore, it reflects CWE-639, Authorization Bypass Through User-Controlled Key, highlighting the danger of trusting client-supplied keys for authorization decisions without robust server-side verification.
Mitigation strategies must focus on implementing strict object-level access controls within the backend service layer. Developers should ensure that every database query retrieving order information includes a mandatory filter clause restricting results to records where the member ID matches the authenticated user's identity derived from their session or token payload. Additionally, employing principle of least privilege in API design is essential; endpoints should only expose data necessary for the specific function and strictly bound to the requester's context. Input validation alone is insufficient here because the vulnerability stems from authorization logic rather than input sanitization. Implementing automated security testing that specifically targets IDOR vulnerabilities during the development lifecycle can help detect such misconfigurations before deployment. Regular audits of access control policies across all API endpoints are recommended to ensure consistent enforcement of data isolation boundaries between different user tenants in a multi-tenant architecture like youlai-mall.