CVE-2026-93660 in SQLBot
Summary
by MITRE • 09/18/2026
SQLBot through 1.10.1 fails to verify dashboard ownership in update_resource and update_canvas endpoints, allowing authenticated workspace members to modify other users' private dashboards. Attackers can supply arbitrary dashboard IDs to rename dashboards and overwrite component data, canvas styles, and view information belonging to other workspace members.
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Analysis
by VulDB Data Team • 09/18/2026
SQLBot versions through 1.10.1 contain a critical authorization flaw within its API endpoints responsible for managing user interface configurations. Specifically, the update_resource and update_canvas functions fail to perform adequate ownership verification before processing modification requests. This architectural oversight means that while the application correctly authenticates users via standard session or token mechanisms, it neglects to validate whether the authenticated principal holds administrative privileges over the specific dashboard resource being targeted. Consequently, any user with valid credentials for a workspace can interact directly with these endpoints without restriction based on data ownership boundaries.
The technical nature of this vulnerability is classified as an Insecure Direct Object Reference (IDOR), which aligns with CWE-639 in the Common Weakness Enumeration taxonomy. By manipulating the dashboard identifier parameter sent to the server, an attacker can bypass intended access controls. The application accepts arbitrary identifiers without cross-referencing them against a database of resources owned by or explicitly shared with the requesting user. This lack of object-level authorization allows for unauthorized modification of private data structures that are logically isolated from other workspace members but technically exposed through insufficient backend validation logic.
The operational impact of this flaw is significant, as it enables authenticated attackers to disrupt the integrity and confidentiality of collaborative workspaces. An adversary can supply arbitrary dashboard IDs to rename dashboards belonging to colleagues, effectively causing confusion or denial of service by obscuring critical business intelligence assets. More severely, the attacker can overwrite component data, canvas styles, and view information associated with other users' private dashboards. This capability allows for potential data exfiltration if sensitive metrics are exposed through modified views, or it facilitates social engineering attacks where altered dashboard visuals mislead stakeholders into making decisions based on fabricated or corrupted analytics.
From a threat modeling perspective, this vulnerability maps to the ATT&CK technique of T1078 Valid Accounts, as exploitation requires initial authentication, and potentially T1496 Remote File Influence if the overwritten data leads to downstream system compromises. It also relates to T1530 Data from Cloud Storage Object Misconfiguration due to the exposure of private workspace assets through improper access control checks. The ability to modify canvas styles and view information suggests a potential for persistent impact, as changes may persist across sessions until manually reverted by an administrator or affected user.
Mitigation strategies must prioritize immediate patching to version 1.10.2 or later where this authorization check has been implemented. In the interim, organizations should enforce strict input validation on all API endpoints that accept resource identifiers, ensuring that backend logic verifies ownership before executing write operations. Implementing role-based access control (RBAC) checks at the service layer for sensitive actions is essential to prevent unauthorized modifications. Additionally, auditing logs for unusual patterns of dashboard updates from single users across multiple unrelated dashboards can help detect ongoing exploitation attempts. Security teams should also review API gateway configurations to ensure that rate limiting and anomaly detection are active to mitigate bulk enumeration attacks targeting these endpoints.