CVE-2026-88890 in OpenPanel
Summary
by MITRE • 09/10/2026
OpenPanel through commit cd24bb8 contains an SQL injection vulnerability in the analytics filter builder that fails to validate profile.* filter column identifiers before interpolating them into ClickHouse WHERE clauses. An authenticated attacker with project-scoped read or root export credentials can inject arbitrary ClickHouse SQL to bypass project isolation and read other organizations' analytics data and profile PII via blind boolean oracle techniques.
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Analysis
by VulDB Data Team • 09/10/2026
The vulnerability identified in OpenPanel, specifically within the analytics filter builder component prior to commit cd24bb8, represents a critical server-side injection flaw rooted in improper validation of user-supplied input. The core technical failure lies in the application's handling of profile.* filter column identifiers. When users construct filters for analytical queries, these identifiers are interpolated directly into SQL statements targeting ClickHouse databases without adequate sanitization or parameterization. This architectural oversight allows an attacker to manipulate the structure of the underlying database query rather than merely altering its data payload. By injecting malicious syntax within the field name parameters, an adversary can break out of the intended logical context and append arbitrary commands that are executed by the database engine with the privileges of the application service account.
From a classification perspective, this vulnerability aligns closely with CWE-89 Improper Neutralization of Special Elements used in an SQL Command commonly known as SQL Injection. The specific nature of this flaw involves dynamic code construction where user input is treated as executable code rather than data. This misclassification of intent by the application logic creates a pathway for unauthorized database interactions. Furthermore, because the injection occurs within the context of ClickHouse WHERE clauses, it leverages standard relational query manipulation techniques to alter the execution flow of legitimate analytical processes. The lack of strict allow-listing or rigorous type checking on column identifiers serves as the primary enabler for this exploitation vector.
The operational impact of this vulnerability is severe due to its potential for data exfiltration and privacy violations. An authenticated attacker possessing project-scoped read access or root export credentials can exploit this flaw to bypass organizational isolation boundaries. By utilizing blind boolean oracle techniques, the attacker can systematically deduce information from other organizations' analytics datasets without triggering obvious error messages that might alert security monitoring systems. This method involves sending crafted queries with conditional logic and observing subtle differences in application responses or timing to infer true or false conditions about the target data. Consequently, sensitive personally identifiable information (PII) stored within profile columns can be extracted incrementally, leading to significant breaches of confidentiality and compliance violations regarding user privacy regulations such as GDPR or CCPA.
In terms of threat modeling, this exploitation technique maps to ATT&CK T1059 Command and Scripting Interpreter if the injection allows for broader command execution, but more accurately aligns with ATT&CK T1078 Valid Accounts when considering the prerequisite authentication, and specifically T1046 Network Service Discovery or data exfiltration techniques depending on the final payload. The use of blind boolean oracle methods is a sophisticated technique often associated with advanced persistent threats seeking to avoid detection while extracting high-value intellectual property or customer data from multi-tenant environments.
To mitigate this vulnerability, immediate remediation should focus on implementing strict input validation for all column identifiers used in filter builders. Developers must enforce an allow-list approach where only predefined, safe column names are accepted, rejecting any input that does not match the expected schema exactly. Additionally, adopting parameterized queries or prepared statements wherever possible can prevent SQL injection by ensuring that user input is always treated as data rather than executable code. For existing deployments, applying the patch included in commit cd24bb8 is essential to close this security gap. Long-term defenses should include deploying Web Application Firewalls configured to detect SQL injection patterns and conducting regular penetration testing focused on NoSQL and relational database interfaces within analytics modules.