CVE-2019-25702 Overview
CVE-2019-25702 is a SQL injection vulnerability affecting Marmotech Kados R10 GreenBee. The vulnerability allows attackers to manipulate database queries by injecting malicious SQL code through the id_project parameter. By sending specially crafted requests containing SQL statements in this parameter, attackers can extract sensitive database information or modify data without authorization.
SQL injection vulnerabilities like this one occur when user-supplied input is incorporated into database queries without proper sanitization or parameterization. In the case of Kados R10 GreenBee, the id_project parameter is directly concatenated into SQL queries, enabling attackers to break out of the intended query structure and execute arbitrary SQL commands.
Critical Impact
Attackers can exploit this SQL injection vulnerability to extract sensitive database contents, modify or delete data, and potentially escalate access to the underlying system depending on database configuration and privileges.
Affected Products
- Marmotech Kados R10 GreenBee
Discovery Timeline
- 2026-04-05 - CVE-2019-25702 published to NVD
- 2026-04-07 - Last updated in NVD database
Technical Details for CVE-2019-25702
Vulnerability Analysis
This SQL injection vulnerability exists in the Kados R10 GreenBee application where the id_project parameter is not properly validated or sanitized before being used in database queries. When a user submits a request containing this parameter, the application fails to treat it as untrusted data, allowing malicious SQL syntax to be interpreted as part of the database command.
The attack can be executed remotely over the network without requiring authentication, making it accessible to any attacker who can reach the vulnerable application endpoint. Successful exploitation enables attackers to read sensitive information from the database with high impact to confidentiality, and potentially modify data with lower impact to integrity.
Root Cause
The root cause of CVE-2019-25702 is the lack of input validation and improper handling of the id_project parameter within the Kados application. The application directly incorporates user-controlled input into SQL query strings without using prepared statements or parameterized queries. This classic SQL injection pattern (CWE-89) allows attackers to inject SQL metacharacters and commands that alter the intended query logic.
Attack Vector
The vulnerability is exploitable via network-based requests to the Kados R10 GreenBee application. An attacker crafts a malicious HTTP request containing SQL injection payloads in the id_project parameter. Common techniques include using single quotes, UNION-based injection, boolean-based blind injection, or time-based blind injection to extract data or manipulate the database.
For example, an attacker might append SQL operators like ' OR '1'='1 or use UNION SELECT statements to retrieve data from other database tables. The Exploit-DB #46505 entry provides documented exploitation details for this vulnerability.
Detection Methods for CVE-2019-25702
Indicators of Compromise
- Unusual SQL error messages appearing in application logs or responses
- Requests containing SQL metacharacters (single quotes, semicolons, UNION, SELECT) in the id_project parameter
- Abnormal database query patterns or execution times
- Unexpected database access from the application to sensitive tables
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in request parameters
- Implement database activity monitoring to identify anomalous query patterns
- Enable detailed logging for requests containing the id_project parameter
- Use intrusion detection systems (IDS) with SQL injection signature detection
Monitoring Recommendations
- Monitor web server access logs for requests with SQL injection patterns targeting the id_project parameter
- Set up alerts for database error rates that may indicate injection attempts
- Review database audit logs for unauthorized data access or modification
- Implement real-time monitoring of application responses for SQL error disclosure
How to Mitigate CVE-2019-25702
Immediate Actions Required
- Implement input validation to sanitize the id_project parameter and reject requests containing SQL metacharacters
- Deploy a Web Application Firewall (WAF) with SQL injection protection rules
- Review application code to identify and remediate all instances of unsanitized input in database queries
- Consider temporarily disabling or restricting access to affected functionality until patched
Patch Information
Consult the Kados project on SourceForge and the official Kados website for available updates or patches that address this SQL injection vulnerability. Review the VulnCheck Advisory for Kados SQL Injection for additional remediation guidance.
Workarounds
- Use prepared statements or parameterized queries for all database interactions involving user input
- Apply strict input validation using allowlisting to permit only expected numeric values in the id_project parameter
- Implement the principle of least privilege for database accounts used by the application
- Deploy network segmentation to limit database access from untrusted networks
# Example WAF rule for blocking SQL injection attempts
# ModSecurity rule to detect SQL injection in id_project parameter
SecRule ARGS:id_project "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection detected in id_project'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


