CVE-2026-33058 Overview
CVE-2026-33058 is an authenticated SQL Injection vulnerability affecting Kanboard, an open-source project management software focused on Kanban methodology. This vulnerability allows authenticated attackers with permission to add users to a project to inject malicious SQL queries, potentially dumping the entirety of the Kanboard database and compromising sensitive project management data.
Critical Impact
Authenticated users with project user management permissions can exploit this SQL injection flaw to extract complete database contents, including user credentials, project data, and sensitive business information.
Affected Products
- Kanboard versions prior to 1.2.51
Discovery Timeline
- 2026-03-18 - CVE-2026-33058 published to NVD
- 2026-03-18 - Last updated in NVD database
Technical Details for CVE-2026-33058
Vulnerability Analysis
This SQL Injection vulnerability (CWE-89) exists in Kanboard's user management functionality. The flaw is triggered when authenticated users exercise their permission to add users to a project. The application fails to properly sanitize or parameterize user-supplied input before incorporating it into SQL queries, allowing attackers to manipulate query logic and extract unauthorized data from the database.
The vulnerability requires network access and low-privilege authentication (project management permissions), but once these prerequisites are met, exploitation is straightforward with no user interaction required. The impact extends beyond the immediate application context, potentially affecting the confidentiality and integrity of the entire database system.
Root Cause
The root cause of CVE-2026-33058 is improper input validation and lack of parameterized queries in the code path responsible for adding users to projects. User-controlled input is concatenated directly into SQL statements without proper sanitization, escaping, or the use of prepared statements. This classic SQL Injection pattern allows attackers to break out of the intended query structure and execute arbitrary SQL commands.
Attack Vector
The attack vector is network-based, requiring an authenticated attacker with permission to add users to a Kanboard project. The attacker crafts malicious input containing SQL syntax when performing user addition operations. Due to the lack of input sanitization, this input is directly incorporated into database queries, allowing the attacker to:
- Extract sensitive data from any table in the database
- Enumerate database structure and schema information
- Potentially modify or delete data depending on database permissions
- Access user credentials, session tokens, and other authentication material
The vulnerability allows complete database extraction, making it particularly dangerous for organizations storing sensitive project data, client information, or proprietary business processes within Kanboard.
Detection Methods for CVE-2026-33058
Indicators of Compromise
- Unusual database query patterns in application logs, particularly involving UNION SELECT statements or error-based injection techniques
- Unexpected data access patterns or large data exports from the Kanboard database
- Anomalous user addition requests containing special SQL characters such as single quotes, semicolons, or SQL keywords
- Database error messages appearing in application responses or logs indicating SQL syntax errors
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in HTTP requests targeting Kanboard user management endpoints
- Monitor database query logs for suspicious patterns including UNION-based injection, time-based blind injection, or error-based extraction techniques
- Deploy application-layer intrusion detection to identify malformed requests to project user management functions
- Configure alerts for database activities involving bulk data extraction or unusual schema queries
Monitoring Recommendations
- Enable detailed logging for all database queries executed by the Kanboard application
- Monitor authentication logs for accounts with project management permissions exhibiting unusual activity patterns
- Set up alerts for database connection anomalies or unexpected query volumes
- Review access logs for the project user management functionality for suspicious request patterns
How to Mitigate CVE-2026-33058
Immediate Actions Required
- Upgrade Kanboard to version 1.2.51 or later immediately
- Review database access logs for any evidence of exploitation attempts
- Audit user accounts with project management permissions and verify their legitimacy
- Consider rotating database credentials and session tokens as a precautionary measure
- Implement network segmentation to limit database access from the application layer
Patch Information
Kanboard version 1.2.51 addresses this SQL injection vulnerability by implementing proper input sanitization and parameterized queries in the affected code path. Organizations should upgrade to this version or later as soon as possible. For detailed information about the fix, refer to the GitHub Security Advisory.
Workarounds
- Restrict project user management permissions to only essential, trusted administrators until patching is complete
- Implement a Web Application Firewall (WAF) with SQL injection detection rules in front of the Kanboard application
- Enable database query auditing and configure alerts for suspicious SQL patterns
- Consider temporarily disabling the affected user management functionality if operationally feasible
- Apply network-level access controls to limit who can reach the Kanboard application
# Example WAF rule pattern to help detect SQL injection attempts
# Note: This is a defense-in-depth measure and does not replace patching
# ModSecurity rule example:
SecRule ARGS "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Detected'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
