CVE-2019-25694 Overview
CVE-2019-25694 is a SQL Injection vulnerability affecting Marmotech Kados R10 GreenBee. The vulnerability allows unauthenticated attackers to manipulate database queries by injecting malicious SQL code through the user2reset parameter. By sending specially crafted requests containing SQL payloads, attackers can extract sensitive database information or modify data without any prior authentication.
Critical Impact
Unauthenticated attackers can exploit this SQL injection flaw to access, extract, or modify sensitive database contents, potentially compromising the entire application's data integrity and confidentiality.
Affected Products
- Marmotech Kados R10 GreenBee
Discovery Timeline
- 2026-04-05 - CVE-2019-25694 published to NVD
- 2026-04-07 - Last updated in NVD database
Technical Details for CVE-2019-25694
Vulnerability Analysis
This SQL Injection vulnerability (CWE-89) exists in the Kados R10 GreenBee application's password reset functionality. The user2reset parameter fails to properly sanitize user-supplied input before incorporating it into SQL queries. This lack of input validation allows attackers to inject arbitrary SQL statements that are then executed by the backend database engine.
The vulnerability is particularly concerning because it requires no authentication to exploit. An attacker can directly interact with the vulnerable endpoint and manipulate database operations. Successful exploitation could lead to unauthorized access to sensitive user credentials, personal information, and other confidential data stored in the application's database. Additionally, attackers may be able to modify or delete data, potentially causing significant operational disruption.
Root Cause
The root cause of this vulnerability is improper input validation and the use of unsanitized user input in SQL query construction. The user2reset parameter is directly concatenated or interpolated into SQL statements without proper escaping, parameterization, or the use of prepared statements. This design flaw violates fundamental secure coding practices and allows attacker-controlled input to alter the intended logic of database queries.
Attack Vector
The attack is network-based and does not require any user interaction or prior authentication. An attacker can craft HTTP requests containing malicious SQL payloads in the user2reset parameter. When the vulnerable endpoint processes these requests, the injected SQL code executes within the context of the database connection, granting the attacker the ability to:
- Extract sensitive data from the database using UNION-based or blind SQL injection techniques
- Enumerate database structure, table names, and column information
- Bypass authentication mechanisms by manipulating query logic
- Modify or delete existing records
- Potentially execute system-level commands depending on database configuration
The vulnerability is documented in Exploit-DB #46505, which provides detailed information about the exploitation technique. Additional technical analysis is available in the VulnCheck Advisory on Kados SQL Injection.
Detection Methods for CVE-2019-25694
Indicators of Compromise
- Unusual or malformed HTTP requests targeting password reset endpoints containing SQL syntax characters such as single quotes, UNION statements, or comment sequences
- Unexpected database errors or verbose error messages in application logs indicating SQL syntax issues
- Evidence of data exfiltration or unauthorized database access in audit logs
- Anomalous traffic patterns with repeated requests to the affected endpoint
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the user2reset parameter
- Enable database query logging and monitor for unusual query patterns or syntax anomalies
- Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
- Review application access logs for suspicious request patterns targeting the password reset functionality
Monitoring Recommendations
- Monitor HTTP request logs for SQL injection indicators including single quotes, double dashes, UNION keywords, and other SQL syntax
- Set up alerts for database error rates that may indicate failed injection attempts
- Implement rate limiting on the affected endpoint to slow potential automated exploitation attempts
- Establish baseline database query patterns and alert on deviations
How to Mitigate CVE-2019-25694
Immediate Actions Required
- Review the Kados Official Website and SourceForge Project Overview for any available security patches or updates
- Implement input validation on the user2reset parameter to reject any input containing SQL syntax characters
- Deploy Web Application Firewall rules to block SQL injection attempts at the network perimeter
- Consider temporarily disabling the password reset functionality until a proper fix is implemented
Patch Information
As of the last update to this advisory, specific patch information from Marmotech has not been identified in the NVD database. Organizations using Kados R10 GreenBee should contact the vendor directly or monitor the Kados Official Website and SourceForge Project Overview for security updates and patch availability.
Workarounds
- Apply strict input validation and sanitization on the user2reset parameter, allowing only expected character sets (alphanumeric characters)
- Implement parameterized queries or prepared statements for all database interactions involving user input
- Deploy a WAF with SQL injection protection rules in front of the application
- Restrict network access to the application to trusted IP ranges where possible
- Implement rate limiting and monitoring on the affected endpoint to detect and mitigate exploitation attempts
# Example WAF rule (ModSecurity) to block SQL injection patterns
SecRule ARGS:user2reset "@detectSQLi" \
"id:1001,\
phase:2,\
deny,\
status:403,\
log,\
msg:'SQL Injection attempt detected in user2reset parameter'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


