CVE-2024-2156 Overview
A critical SQL injection vulnerability has been identified in SourceCodester Best POS Management System version 1.0. The vulnerability exists within the admin_class.php file, where improper handling of the img parameter allows attackers to inject malicious SQL queries. This flaw enables remote attackers to manipulate database queries without authentication, potentially leading to unauthorized data access, modification, or deletion of sensitive business information stored within the point-of-sale system.
Critical Impact
This SQL injection vulnerability allows unauthenticated remote attackers to execute arbitrary SQL commands against the underlying database, potentially compromising all customer data, transaction records, and administrative credentials stored in the POS system.
Affected Products
- Mayurik Best POS Management System 1.0
- SourceCodester Best POS Management System 1.0
- Installations using the vulnerable admin_class.php component
Discovery Timeline
- 2024-03-04 - CVE-2024-2156 published to NVD
- 2024-12-23 - Last updated in NVD database
Technical Details for CVE-2024-2156
Vulnerability Analysis
This SQL injection vulnerability stems from insufficient input validation in the admin_class.php file of the Best POS Management System. When user-supplied data is passed through the img parameter, the application fails to properly sanitize or parameterize the input before incorporating it into SQL queries. This allows attackers to break out of the intended query structure and inject arbitrary SQL commands.
The vulnerability is particularly severe because it requires no authentication to exploit and can be triggered remotely over the network. Successful exploitation could allow an attacker to read sensitive data from the database, modify or delete records, and potentially achieve further system compromise through database-specific features.
Root Cause
The root cause of this vulnerability is the direct concatenation of user-controlled input (the img parameter) into SQL queries without proper sanitization, parameterization, or use of prepared statements. The admin_class.php file processes the img parameter in a manner that allows SQL metacharacters to be interpreted as part of the query structure rather than as data values.
Attack Vector
The attack can be executed remotely over the network without requiring any authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads within the img parameter. When the vulnerable admin_class.php file processes these requests, the injected SQL commands are executed against the backend database.
The exploitation typically involves sending specially crafted requests to the vulnerable endpoint, with payloads designed to extract data (using UNION-based or blind SQL injection techniques), modify records, or potentially escalate privileges within the database management system.
Detection Methods for CVE-2024-2156
Indicators of Compromise
- Unusual or malformed HTTP requests targeting admin_class.php with suspicious img parameter values
- Database query logs showing unexpected SQL syntax or UNION SELECT statements
- Web server access logs containing SQL injection payload patterns (e.g., single quotes, OR 1=1, UNION SELECT)
- Unexpected database errors or verbose error messages in application logs
- Evidence of unauthorized data access or modification in transaction records
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting the img parameter
- Monitor web server logs for requests to admin_class.php containing suspicious characters or SQL keywords
- Deploy database activity monitoring to detect anomalous queries originating from the web application
- Use intrusion detection systems with signatures for SQL injection attack patterns
Monitoring Recommendations
- Enable detailed logging for all requests to admin_class.php and other administrative endpoints
- Configure alerts for database errors that may indicate injection attempts
- Implement network traffic analysis to identify SQL injection attack patterns
- Regularly audit database query logs for unauthorized data access attempts
How to Mitigate CVE-2024-2156
Immediate Actions Required
- Restrict network access to the Best POS Management System administrative interface to trusted IP addresses only
- Implement Web Application Firewall rules to filter malicious input targeting the img parameter
- Consider taking the vulnerable application offline until a patch can be applied
- Review database permissions to ensure the application uses least-privilege database accounts
- Enable database query logging for forensic analysis and ongoing monitoring
Patch Information
As of the last update, no official vendor patch has been released for this vulnerability. Organizations using the SourceCodester Best POS Management System 1.0 should contact the vendor for updated information regarding security fixes. In the absence of an official patch, implementing defensive measures and compensating controls is essential.
For technical details about this vulnerability, see the GitHub SQL Injection Report and VulDB entry #255588.
Workarounds
- Implement input validation and sanitization for the img parameter by modifying admin_class.php to use prepared statements with parameterized queries
- Deploy a Web Application Firewall in front of the application to filter SQL injection payloads
- Restrict database user privileges to minimum required permissions (no DROP, ALTER, or administrative rights)
- Place the POS system behind a VPN or firewall to limit exposure to trusted networks only
- Consider migrating to an actively maintained POS solution with better security practices
# Example: Restrict access to admin_class.php using Apache .htaccess
# Add to .htaccess in the application directory
<Files "admin_class.php">
Order Deny,Allow
Deny from all
Allow from 192.168.1.0/24
Allow from 10.0.0.0/8
</Files>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


