CVE-2025-40622: Tcman GIM SQLi Vulnerability Explained

CVE-2025-40622 Overview

CVE-2025-40622 is a critical SQL injection vulnerability discovered in TCMAN's GIM (Government Information Management) version 11. This vulnerability allows an unauthenticated attacker to inject malicious SQL statements through the username parameter of the GetLastDatePasswordChange endpoint. Successful exploitation enables attackers to obtain, update, and delete all information stored in the database, potentially leading to complete compromise of the system's data integrity and confidentiality.

Critical Impact

Unauthenticated attackers can fully compromise the database through SQL injection, enabling data theft, modification, and deletion without any authentication requirements.

Affected Products

• TCMAN GIM version 11.0
• TCMAN GIM v11 (all builds)
• Systems running TCMAN GIM with exposed GetLastDatePasswordChange endpoint

Discovery Timeline

• 2025-05-06 - CVE-2025-40622 published to NVD
• 2025-05-13 - Last updated in NVD database

Technical Details for CVE-2025-40622

Vulnerability Analysis

This SQL injection vulnerability (CWE-89) exists in the GetLastDatePasswordChange endpoint of TCMAN's GIM v11 application. The vulnerability stems from improper neutralization of special elements used in SQL commands, allowing attackers to manipulate database queries through user-supplied input.

The vulnerable username parameter fails to properly sanitize or parameterize user input before incorporating it into SQL queries. This allows attackers to craft malicious input that breaks out of the intended query structure and executes arbitrary SQL commands. Since the endpoint does not require authentication, any network-accessible attacker can exploit this flaw remotely.

The impact is severe: attackers can extract sensitive data including user credentials, modify records, escalate privileges within the application, or delete critical information. In enterprise environments where GIM manages government or organizational data, this could lead to significant data breaches and operational disruption.

Root Cause

The root cause of CVE-2025-40622 is the failure to implement proper input validation and parameterized queries in the GetLastDatePasswordChange endpoint. The application directly concatenates user-supplied input from the username parameter into SQL queries without sanitization, allowing special SQL characters and commands to be interpreted by the database engine.

This represents a classic SQL injection pattern where dynamic query construction using string concatenation creates an exploitable injection point. The lack of prepared statements or stored procedures with proper parameter binding leaves the application vulnerable to this well-known attack vector.

Attack Vector

The attack vector is network-based and requires no authentication or user interaction. An attacker can send crafted HTTP requests to the GetLastDatePasswordChange endpoint with malicious SQL payloads in the username parameter.

The vulnerability manifests when the application processes the malformed input, allowing the attacker to:

1. Data Exfiltration: Extract sensitive information from the database using UNION-based or blind SQL injection techniques
2. Data Manipulation: Modify existing records, including user credentials and system configurations
3. Data Destruction: Delete database records or entire tables
4. Privilege Escalation: Potentially create new administrative accounts or modify existing user privileges

For detailed technical information about this vulnerability, refer to the INCIBE CERT Security Notice.

Detection Methods for CVE-2025-40622

Indicators of Compromise

• Unusual or malformed requests to the GetLastDatePasswordChange endpoint containing SQL syntax characters such as single quotes, semicolons, or SQL keywords
• Database query logs showing unexpected SQL commands or error messages related to syntax errors
• Evidence of unauthorized data access or modifications in database audit logs
• Anomalous patterns of requests to authentication-related endpoints from single IP addresses

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the username parameter
• Implement application-level logging to capture all requests to the GetLastDatePasswordChange endpoint
• Configure database activity monitoring to alert on suspicious query patterns, bulk data exports, or unauthorized schema modifications
• Use intrusion detection systems (IDS) with signatures for common SQL injection payloads

Monitoring Recommendations

• Enable verbose logging on the GIM application server to capture full request details
• Monitor database query execution times for anomalies that may indicate time-based blind SQL injection attempts
• Review authentication and user management logs for unexpected account creation or privilege changes
• Implement real-time alerting for any failed SQL query syntax errors in production environments

How to Mitigate CVE-2025-40622

Immediate Actions Required

• Restrict network access to the GetLastDatePasswordChange endpoint to trusted IP ranges or internal networks only
• Deploy WAF rules specifically targeting SQL injection attempts on the affected endpoint
• Review database audit logs for evidence of prior exploitation and assess potential data compromise
• Consider temporarily disabling the vulnerable endpoint if business operations permit

Patch Information

Organizations using TCMAN GIM v11 should contact TCMAN directly for security patches or updated versions that address this vulnerability. Monitor the INCIBE CERT Security Notice for updates regarding official remediation guidance from the vendor.

Workarounds

• Implement a reverse proxy or WAF in front of the application to filter malicious SQL injection payloads before they reach the vulnerable endpoint
• Apply network segmentation to limit access to the GIM application from untrusted networks
• Use database user accounts with minimal privileges for the application connection to limit the impact of successful exploitation
• Enable database query logging and monitoring to detect and respond to exploitation attempts in real-time

# Example WAF rule for blocking SQL injection patterns (ModSecurity format)
SecRule ARGS:username "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in username parameter',\
    tag:'CVE-2025-40622'"