CVE-2026-116808 in OpenPanel
Summary
by MITRE • 10/27/2026
OpenPanel before 3.0.0 contains an sql injection vulnerability that allows authenticated users to read cross-tenant data by supplying a crafted property parameter to profile.values. Attackers can inject a SELECT expression with their own FROM/WHERE clauses and comment out the project_id scope to exfiltrate other projects' profiles, events, and sessions.
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Analysis
by VulDB Data Team • 10/27/2026
The vulnerability identified in OpenPanel versions prior to 3.0.0 represents a critical security flaw rooted in improper neutralization of special elements used in SQL commands, commonly classified under CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). This specific instance is particularly severe because it affects authenticated users and facilitates cross-tenant data exfiltration, thereby violating the fundamental principle of multi-tenancy isolation. The flaw resides within the profile.values endpoint or functionality, where user-supplied input is directly incorporated into database queries without adequate sanitization or parameterization. By manipulating the property parameter, an attacker can inject arbitrary SQL syntax that alters the intended logic of the query executed by the backend application server.
From a technical perspective, the exploitation mechanism involves constructing a malicious payload that includes a SELECT expression along with custom FROM and WHERE clauses. The primary objective of this injection is to bypass the existing project_id scope filter which normally restricts data access to only the resources belonging to the authenticated user's specific tenant or project. By appending SQL comments such as -- or /*, the attacker effectively neutralizes the trailing portion of the original query that enforces these security boundaries. This allows the database engine to execute a modified statement that retrieves sensitive information from tables associated with other tenants, including profiles, events, and session data. The ability to read cross-tenant data indicates a failure in logical access controls at the database layer or insufficient validation of input parameters before they are processed by the SQL interpreter.
The operational impact of this vulnerability is substantial, as it compromises the confidentiality and integrity of multi-tenant SaaS environments where data isolation between customers is paramount. An authenticated attacker can systematically exfiltrate proprietary business intelligence, user personal information, and behavioral analytics belonging to other organizations sharing the same OpenPanel instance. This breach not only leads to direct financial and reputational damage for affected tenants but also exposes the service provider to significant regulatory liability under frameworks such as GDPR or CCPA due to the mishandling of personally identifiable information. Furthermore, access to session data could potentially facilitate further attacks against other users if those sessions contain sensitive tokens or credentials that can be intercepted and reused in subsequent authentication attempts.
In terms of threat modeling, this vulnerability aligns with MITRE ATT&CK technique T1059: Command and Scripting Interpreter when considering the injection mechanism as a form of command execution within the database context, and more accurately maps to T1213: Data from Information Repositories for the exfiltration phase. The attack vector is classified as Local or Network depending on whether authentication can be obtained remotely, but it requires valid credentials, placing it in the Initial Access category if exploited by an insider threat or compromised account holder. To mitigate this risk, immediate remediation should involve upgrading to OpenPanel version 3.0.0 or later where the issue has been addressed through code hardening and input validation improvements. In environments where patching is not immediately feasible, implementing strict parameterized queries for all database interactions involving user-supplied data is essential. Additionally, deploying a Web Application Firewall with rules capable of detecting SQL injection patterns in JSON payloads can provide an additional layer of defense by blocking malicious requests before they reach the application logic. Regular security audits and static code analysis focused on CWE-89 should be integrated into the development lifecycle to prevent similar logical flaws from being introduced in future releases.