CVE-2026-109164 in TDuck Survey Form
Summary
by MITRE • 10/12/2026
TDuck survey form through 6.0 contains an insecure direct object reference vulnerability that allows authenticated users to delete other users' form submissions by supplying arbitrary submission ids. Attackers can place their own formKey in the path and iterate sequential submission ids in the request body to permanently delete submissions platform-wide.
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Analysis
by VulDB Data Team • 10/12/2026
The vulnerability identified within TDuck survey forms prior to version 6.0 represents a critical failure in access control mechanisms, specifically categorized as an Insecure Direct Object Reference or IDOR. This flaw stems from the application's reliance on client-supplied identifiers to perform sensitive operations without adequately verifying that the requesting user possesses authorization for those specific resources. The core technical issue lies in how the backend processes deletion requests for survey submissions. Instead of validating that the submission being deleted belongs to the authenticated session making the request, the system trusts the identifier provided by the attacker directly from the HTTP request parameters or body. This architectural oversight allows any authenticated user to bypass intended security boundaries and manipulate data belonging to other users on the platform.
From a technical perspective, the exploitation vector involves manipulating the formKey parameter within the URL path while simultaneously iterating through sequential submission identifiers in the request body. By systematically varying these IDs, an attacker can enumerate valid submissions across different surveys or forms hosted on the TDuck platform. The application fails to check ownership permissions before executing the delete command, meaning that once a valid ID is found, the action is performed immediately and irreversibly. This lack of server-side validation transforms what should be a user-specific operation into a global administrative function accessible to any logged-in account with minimal effort or specialized tools beyond basic HTTP clients capable of sending repeated requests.
The operational impact of this vulnerability is severe due to its potential for widespread data destruction. Attackers can permanently delete survey responses submitted by other users, leading to significant loss of critical business intelligence and user-generated content. This not only disrupts the integrity of surveys but also undermines trust in the platform's reliability. For organizations relying on TDuck for customer feedback or internal assessments, such an attack could result in incomplete datasets that skew analytics and decision-making processes. Furthermore, because the deletion is permanent, there are no easy recovery mechanisms available to restore the lost information without external backups, which may not always be current or comprehensive enough to mitigate total data loss.
This vulnerability aligns with CWE-639, which describes Insecure Direct Object References where a web application exposes internal implementation objects like files, directories, or database keys through user-accessible input parameters. Additionally, it maps to the MITRE ATT&CK framework under T1530, Data from Information Repositories, specifically in the context of data destruction and exfiltration preparation by removing evidence or valuable assets. The attack pattern resembles automated enumeration techniques often seen in broader campaigns aimed at destabilizing services rather than stealing sensitive personal information directly.
To mitigate this vulnerability, immediate action is required to patch TDuck survey forms to version 6.0 or later where the issue has been addressed. In the interim, administrators should enforce strict access control checks on all endpoints handling submission data. This includes implementing server-side validation that verifies the relationship between the authenticated user and the resource being accessed before allowing any modification or deletion operations. Developers must ensure that object references are not directly exposed to clients without proper authorization logic. Additionally, introducing rate limiting can help mitigate automated enumeration attacks by detecting and blocking rapid sequences of requests targeting different submission IDs. Regular security audits focusing on access control flaws will further strengthen the platform's resilience against similar IDOR vulnerabilities in the future.