CVE-2026-111680 in APIPark
Summary
by MITRE • 10/16/2026
APIPark through 1.9.7-beta contains an authorization bypass vulnerability that allows authenticated team managers to access other teams' services and applications by supplying their own team id in the team query parameter. Attackers can target service or app ids exposed by /api/v1/simple/services and /api/v1/simple/apps to read, modify, or delete other teams' services and applications via /api/v1/service/info and /api/v1/app endpoints.
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Analysis
by VulDB Data Team • 10/16/2026
APIPark versions through 1.9.7-beta suffer from a critical authorization bypass vulnerability that undermines the fundamental isolation mechanisms between distinct organizational units within the platform. This flaw specifically affects authenticated team managers, who are intended to have administrative privileges only over resources belonging to their own assigned teams. The root cause of this insecurity lies in how the application handles input validation for the team identifier parameter during API requests. Instead of verifying that the provided team ID matches the context associated with the currently authenticated user session or token, the system blindly trusts the value supplied by the client-side request. This lack of server-side enforcement allows an attacker to manipulate the query parameters to reference resources belonging to other teams within the same instance.
The operational impact of this vulnerability is severe, as it effectively grants unauthorized access to sensitive internal infrastructure and application configurations. By exploiting this flaw, a malicious actor can target service or application identifiers that are exposed through public-facing enumeration endpoints such as /api/v1/simple/services and /api/v1/simple/apps. Once these valid resource IDs are identified, the attacker can interact with critical management interfaces like /api/v1/service/info and /api/v1/app by injecting their own team ID into the request while targeting a victim's service or application ID. This capability enables the reading of confidential configuration data, modification of operational settings, or complete deletion of services and applications belonging to other teams. Such actions can lead to significant business disruption, loss of intellectual property, and potential cascading failures across interconnected systems that rely on these compromised components.
From a classification perspective, this vulnerability aligns with CWE-284 Improper Access Control, specifically reflecting issues related to insufficient verification of user authorization for specific resources. The attack vector leverages insecure direct object references where the application uses client-supplied identifiers without validating ownership or permissions against those objects. In terms of offensive security frameworks, this behavior corresponds to ATT&CK technique T1078 Valid Accounts, as it relies on legitimate credentials that are then abused due to flawed access control logic rather than credential theft. The exploitation path also touches upon T1530 Data from Cloud Storage Objects if the services or applications contain sensitive data stores accessible through these endpoints.
Mitigation strategies must prioritize immediate patching of APIPark to version 1.9.7-beta or later, where this authorization check has been corrected. In addition to upgrading software, organizations should implement strict server-side validation that ensures every request includes a verified team context derived from the authenticated session rather than relying on mutable client parameters. Implementing role-based access control checks at the API gateway level can provide an additional layer of defense by validating permissions before routing requests to backend services. Furthermore, security teams should audit their exposure of internal APIs and ensure that enumeration endpoints do not leak sensitive identifiers without proper authentication or rate limiting controls. Regular penetration testing focusing on horizontal privilege escalation scenarios is recommended to identify similar flaws in other applications within the ecosystem.