CVE-2026-107702 in QloApps
Summary
by MITRE • 10/08/2026
QloApps through 1.7.0 contains an authorization bypass vulnerability in AdminHotelRoomsBookingController::postProcess() that allows restricted back-office employees to access other hotels' data by supplying an id_hotel parameter. Attackers can modify the id_hotel URL parameter on the Book Now page to view room availability and booking status of hotels outside their assigned profile access.
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Analysis
by VulDB Data Team • 10/08/2026
The vulnerability identified in QloApps versions through 1.7.0 represents a critical failure in server-side authorization logic, specifically within the AdminHotelRoomsBookingController::postProcess() method. This flaw allows for an insecure direct object reference scenario where the application fails to validate whether the requesting user has permission to access the specific resource being requested. In multi-tenant or hierarchical systems like QloApps, which manage data across multiple distinct hotels, it is imperative that backend operations strictly enforce ownership boundaries based on the authenticated user's profile and assigned permissions. However, in this instance, the application relies heavily on client-supplied input for determining scope without sufficient server-side verification against the user’s authorized hotel list.
The technical mechanism of exploitation involves manipulating the id_hotel parameter within HTTP requests directed at the booking management interface. When a restricted back-office employee attempts to view room availability or check the status of bookings, they can intercept and modify this identifier in the URL query string or POST body. By substituting their own hotel's ID with that of another entity managed by the platform, the application processes the request as valid because it does not cross-reference the provided id_hotel against a whitelist associated with the current session’s user account. This lack of object-level access control effectively bypasses the intended isolation between different hotels within the same installation.
The operational impact of this vulnerability is significant for organizations relying on QloApps to manage their hospitality operations. Unauthorized personnel can gain visibility into sensitive business intelligence belonging to other entities, including real-time room availability and existing booking statuses. This exposure compromises competitive integrity by allowing one hotel operator to monitor another’s occupancy rates and demand patterns. Furthermore, it poses a risk to customer privacy as detailed information about reservations may be exposed to unauthorized parties who should have no access to such data under normal operational procedures.
From a classification perspective, this issue aligns with CWE-284 Improper Access Control, specifically reflecting the characteristics of Insecure Direct Object References (CWE-602) where object identifiers are used without proper authorization checks. It also maps to MITRE ATT&CK technique T1530 Data from Cloud Storage Objects if viewed through the lens of accessing data outside authorized boundaries in a cloud-hosted environment, or more broadly to unauthorized access patterns that facilitate information disclosure. The vulnerability underscores the necessity for robust identity and access management protocols within web applications handling multi-tenant data structures.
To mitigate this risk, developers must implement strict server-side validation logic within the postProcess() method. This involves retrieving the currently authenticated user’s profile details and verifying that the id_hotel parameter corresponds to a hotel explicitly assigned to that user or their organization. If there is no match, the request should be immediately rejected with an appropriate access denied response rather than proceeding with data retrieval. Additionally, implementing principle of least privilege ensures that backend controllers only expose functionality necessary for specific roles, reducing the attack surface. Regular security audits and static code analysis focused on authorization checks can help identify similar flaws before deployment in production environments.