CVE-2025-4886 Overview
A critical SQL injection vulnerability has been identified in itsourcecode Sales and Inventory System version 1.0. This vulnerability exists in the /pages/product_update.php file, where improper handling of the serial parameter allows attackers to inject malicious SQL queries. The attack can be executed remotely without authentication, potentially compromising the entire database backend of affected installations.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise. The exploit has been publicly disclosed.
Affected Products
- Campcodes Sales and Inventory System 1.0
- itsourcecode Sales and Inventory System 1.0
Discovery Timeline
- 2025-05-18 - CVE-2025-4886 published to NVD
- 2025-06-04 - Last updated in NVD database
Technical Details for CVE-2025-4886
Vulnerability Analysis
This SQL injection vulnerability stems from improper input validation in the product update functionality of the Sales and Inventory System. The serial parameter in /pages/product_update.php is directly incorporated into SQL queries without adequate sanitization or parameterization. This allows an attacker to craft malicious input that modifies the intended SQL query structure.
The vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component). These weaknesses indicate that user-supplied input is being directly concatenated into SQL statements rather than using prepared statements or proper escaping mechanisms.
Additional parameters within the same functionality may also be affected, as the codebase appears to lack comprehensive input validation throughout the product update workflow.
Root Cause
The root cause of this vulnerability is the failure to properly sanitize user input before incorporating it into SQL queries. The application directly uses the serial parameter value from HTTP requests in database operations without:
- Implementing parameterized queries or prepared statements
- Validating input against expected data types and formats
- Escaping special SQL characters that could alter query logic
- Employing input length restrictions or allowlisting
Attack Vector
The attack can be launched remotely over the network without requiring any authentication or user interaction. An attacker can send specially crafted HTTP requests to the /pages/product_update.php endpoint with malicious SQL syntax embedded in the serial parameter.
Successful exploitation could allow attackers to:
- Extract sensitive data from the database including user credentials, customer information, and sales records
- Modify or delete existing database records
- Execute administrative operations on the database server
- Potentially achieve remote code execution depending on database configuration and privileges
The vulnerability mechanism involves injecting SQL metacharacters (such as single quotes, double dashes, or semicolons) into the serial parameter, allowing the attacker to break out of the intended query context and execute arbitrary SQL statements. For detailed technical analysis, refer to the GitHub CVE Issue Discussion.
Detection Methods for CVE-2025-4886
Indicators of Compromise
- Unusual or malformed requests to /pages/product_update.php containing SQL syntax characters in the serial parameter
- Database error messages appearing in application logs indicating SQL syntax errors
- Unexpected database query patterns including UNION SELECT, information_schema queries, or time-based delays
- Anomalous data access patterns suggesting unauthorized data extraction
Detection Strategies
- Deploy Web Application Firewalls (WAF) with SQL injection detection rules targeting the affected endpoint
- Implement application-level logging to capture and alert on suspicious parameter values containing SQL keywords or metacharacters
- Monitor database logs for unusual query patterns, failed authentication attempts, or schema enumeration activities
- Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
Monitoring Recommendations
- Enable detailed HTTP request logging for the /pages/product_update.php endpoint to capture full parameter values
- Configure database activity monitoring to alert on queries accessing sensitive tables or using UNION/SELECT combinations
- Set up real-time alerting for application errors related to SQL syntax failures
- Implement baseline analysis for normal database query patterns to identify anomalies
How to Mitigate CVE-2025-4886
Immediate Actions Required
- Restrict access to the /pages/product_update.php endpoint using network-level controls or authentication requirements
- Deploy a Web Application Firewall with SQL injection protection rules as an interim measure
- Review and audit all user inputs to the affected application for similar vulnerabilities
- Consider taking the affected system offline until a proper fix can be implemented
Patch Information
No official patch has been released by the vendor at this time. Organizations using Campcodes Sales and Inventory System should monitor the IT Source Code Blog and VulDB #309439 for updates regarding security fixes.
Workarounds
- Implement input validation on the serial parameter to restrict input to expected alphanumeric patterns only
- Modify the affected code to use parameterized queries or prepared statements for all database interactions
- Deploy a reverse proxy or WAF in front of the application configured to block requests containing SQL injection patterns
- Restrict database user privileges to minimum required permissions to limit potential impact of successful exploitation
# Example WAF rule for ModSecurity to block SQL injection attempts
# Add to modsecurity.conf or rules file
SecRule ARGS:serial "@detectSQLi" \
"id:1001,\
phase:2,\
block,\
msg:'SQL Injection attempt detected in serial parameter',\
logdata:'Matched Data: %{MATCHED_VAR}',\
severity:CRITICAL"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


