CVE-2024-7202: Simopro WinMatrix3 SQL Injection Vulnerability

CVE-2024-7202 Overview

CVE-2024-7202 is a critical SQL Injection vulnerability discovered in the WinMatrix3 Web package from Simopro Technology. The query functionality within the application lacks proper validation of user input, allowing unauthenticated remote attackers to inject SQL commands. Successful exploitation enables attackers to read, modify, and delete database contents without any authentication requirements.

Critical Impact
Unauthenticated remote attackers can fully compromise database integrity, confidentiality, and availability by injecting malicious SQL commands through the vulnerable query functionality.

Affected Products

Simopro Technology WinMatrix3 Web Package (all versions)

Discovery Timeline

2024-07-29 - CVE-2024-7202 published to NVD
2024-11-21 - Last updated in NVD database

Technical Details for CVE-2024-7202

Vulnerability Analysis

This vulnerability represents a classic SQL Injection flaw (CWE-89) in the WinMatrix3 Web package. The application's query functionality fails to properly sanitize user-supplied input before incorporating it into SQL queries. This architectural weakness allows attackers to manipulate database queries by injecting malicious SQL syntax.

The vulnerability is particularly severe because it requires no authentication to exploit. Remote attackers can leverage this flaw across the network without needing any prior access or credentials to the system. Once exploited, the attacker gains the ability to execute arbitrary SQL commands with the privileges of the database user configured for the application.

The impact encompasses all three pillars of the CIA triad: attackers can extract sensitive data (confidentiality breach), modify or corrupt existing records (integrity violation), and delete critical information or disrupt database operations (availability impact).

Root Cause

The root cause of CVE-2024-7202 is improper input validation in the query functionality of the WinMatrix3 Web package. The application directly concatenates user-supplied input into SQL query strings without employing parameterized queries, prepared statements, or adequate input sanitization. This allows specially crafted input containing SQL syntax to be interpreted as part of the query structure rather than as data.

Attack Vector

The attack vector for this vulnerability is network-based, requiring no user interaction or prior authentication. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting the vulnerable query functionality. These payloads can include standard SQL injection techniques such as:

Union-based injection: Allows extraction of data from other database tables
Boolean-based blind injection: Enables data extraction through true/false query responses
Time-based blind injection: Exfiltrates data by observing response timing differences
Stacked queries: Permits execution of additional SQL commands including INSERT, UPDATE, and DELETE operations

The vulnerability mechanism involves unsanitized user input being passed directly to database query functions. When an attacker submits input containing SQL metacharacters (such as single quotes, semicolons, or comment sequences), these are interpreted as part of the SQL syntax rather than literal data. For technical details, refer to the TWCert Security Notification.

Detection Methods for CVE-2024-7202

Indicators of Compromise

Unusual database queries containing SQL injection patterns such as UNION SELECT, OR 1=1, --, or ;DROP
Unexpected data extraction or modification in database audit logs
HTTP request logs showing suspicious parameters with SQL metacharacters
Abnormal database error messages returned in HTTP responses
Large volumes of database read operations from web application user contexts

Detection Strategies

Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP requests
Enable database query logging and audit trails to identify suspicious query patterns
Implement runtime application self-protection (RASP) solutions to detect SQL injection attempts
Monitor for anomalous database access patterns including bulk data extraction attempts
Configure intrusion detection systems (IDS) with SQL injection signature rules

Monitoring Recommendations

Review web server access logs for requests containing URL-encoded SQL syntax
Monitor database slow query logs for unusual or malformed queries
Set up alerts for database errors that may indicate injection attempts
Track outbound data transfers from the database server for potential data exfiltration

How to Mitigate CVE-2024-7202

Immediate Actions Required

Restrict network access to WinMatrix3 Web package to trusted IP addresses only
Implement WAF rules to block SQL injection attempts targeting the application
Review and minimize database user privileges assigned to the application
Enable comprehensive logging on the database and web application layers
Contact Simopro Technology for patch availability information

Patch Information

Organizations should consult the vendor, Simopro Technology, directly for official patch releases. Additional information may be available through the TWCert Security Notification or the TWCert Incident Report.

Workarounds

Deploy a Web Application Firewall (WAF) with SQL injection detection rules in front of the application
Implement network segmentation to isolate the WinMatrix3 application and its database
Restrict database user permissions to the minimum required for application functionality
Place the application behind a VPN or require authentication at the network layer
Consider taking the application offline if it handles sensitive data until a patch is available

bash

# Example WAF rule configuration for SQL injection protection
# Add to your WAF configuration to detect common SQL injection patterns
# Note: This is a general example - adapt to your specific WAF platform

# Block requests containing common SQL injection keywords
SecRule ARGS "@rx (union.*select|insert.*into|delete.*from|drop.*table)" \
    "id:1001,phase:2,deny,status:403,log,msg:'SQL Injection Attempt Blocked'"