CVE-2025-70024: generatedata 4.0.14 SQL Injection Vulnerability

CVE-2025-70024 Overview

CVE-2025-70024 is a SQL Injection vulnerability (CWE-89: Improper Neutralization of Special Elements used in an SQL Command) discovered in benkeen generatedata version 4.0.14. This vulnerability allows attackers to manipulate SQL queries by injecting malicious input, potentially leading to unauthorized data access, modification, or deletion within the application's database.

Critical Impact

This SQL Injection vulnerability enables unauthenticated remote attackers to execute arbitrary SQL commands against the database, potentially leading to complete database compromise, data exfiltration, and unauthorized system access.

Affected Products

• benkeen generatedata version 4.0.14

Discovery Timeline

• March 11, 2026 - CVE-2025-70024 published to NVD
• March 12, 2026 - Last updated in NVD database

Technical Details for CVE-2025-70024

Vulnerability Analysis

This vulnerability arises from improper neutralization of special elements used in SQL commands within the generatedata application. The application fails to properly sanitize user-supplied input before incorporating it into SQL queries, allowing attackers to inject malicious SQL statements that are then executed by the database engine.

The vulnerability is accessible over the network without requiring authentication or user interaction, making it particularly dangerous for internet-facing deployments. Successful exploitation can result in full compromise of database confidentiality, integrity, and availability.

Root Cause

The root cause is inadequate input validation and sanitization in the generatedata application. User-controlled input is concatenated directly into SQL queries without proper parameterization or escaping, allowing SQL metacharacters to alter the intended query logic. This represents a classic SQL injection pattern where dynamic query construction fails to account for malicious input.

Attack Vector

The attack can be executed remotely over the network. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting vulnerable parameters in the generatedata application. The injected SQL commands execute with the privileges of the database user configured for the application, potentially allowing:

• Extraction of sensitive data from the database
• Modification or deletion of database records
• Bypass of authentication mechanisms
• Potential escalation to operating system command execution depending on database configuration

Technical details and proof-of-concept information are available in the GitHub Gist PoC Repository.

Detection Methods for CVE-2025-70024

Indicators of Compromise

• Unusual database query patterns containing SQL metacharacters such as single quotes, double dashes, or UNION statements
• Database error messages appearing in application logs or responses indicating query syntax errors
• Unexpected data access patterns or bulk data retrieval from database audit logs
• Authentication bypass attempts or unauthorized administrative access

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns
• Implement database activity monitoring to identify suspicious query execution
• Configure intrusion detection systems (IDS) with signatures for SQL injection attack patterns
• Monitor application logs for error messages indicative of SQL injection attempts

Monitoring Recommendations

• Enable detailed logging for all database queries and review for anomalous patterns
• Set up alerts for database error rates exceeding normal thresholds
• Monitor for unusual data access volumes or patterns from application database accounts
• Implement real-time monitoring of web application traffic for injection attack signatures

How to Mitigate CVE-2025-70024

Immediate Actions Required

• Upgrade benkeen generatedata to the latest patched version if available
• Restrict network access to the generatedata application to trusted networks only
• Implement input validation at the application layer to reject potentially malicious input
• Deploy a Web Application Firewall (WAF) to filter SQL injection attempts

Patch Information

Check the generatedata GitHub repository for security updates and patched versions. Users should upgrade to the latest available version that addresses this SQL injection vulnerability.

Workarounds

• Place the generatedata application behind a reverse proxy with SQL injection filtering capabilities
• Restrict database user privileges to the minimum required for application functionality
• Implement network segmentation to isolate the application and database from untrusted networks
• Consider taking the application offline if it is not critical until a patch can be applied

# Example: Restrict database user privileges
# Connect to your database and limit the application user's permissions
REVOKE ALL PRIVILEGES ON database_name.* FROM 'generatedata_user'@'localhost';
GRANT SELECT, INSERT, UPDATE ON database_name.required_tables TO 'generatedata_user'@'localhost';
FLUSH PRIVILEGES;