CVE-2025-6503 Overview
A critical SQL injection vulnerability has been identified in code-projects Inventory Management System version 1.0. This vulnerability exists in the file /php_action/fetchSelectedCategories.php where improper handling of the categoriesId parameter allows attackers to inject malicious SQL commands. The vulnerability can be exploited remotely without authentication, potentially enabling unauthorized database access, data exfiltration, or manipulation of inventory records.
Critical Impact
Unauthenticated remote attackers can exploit this SQL injection vulnerability to access, modify, or delete sensitive inventory and business data stored in the application database.
Affected Products
- Code-projects Inventory Management System 1.0
Discovery Timeline
- 2025-06-23 - CVE-2025-6503 published to NVD
- 2025-06-27 - Last updated in NVD database
Technical Details for CVE-2025-6503
Vulnerability Analysis
This vulnerability is a classic SQL injection flaw (CWE-89) resulting from inadequate input validation in the application's PHP backend. The vulnerable endpoint /php_action/fetchSelectedCategories.php accepts the categoriesId parameter and incorporates it directly into SQL queries without proper sanitization or parameterized queries.
The exploit has been publicly disclosed, meaning threat actors have access to information needed to craft attacks. When successfully exploited, attackers can bypass application security controls entirely and interact directly with the underlying database, potentially accessing all stored inventory data, customer information, and administrative credentials.
Root Cause
The root cause is improper input validation and lack of prepared statements in the PHP code handling the categoriesId parameter. The application fails to sanitize user-supplied input before incorporating it into SQL queries, violating fundamental secure coding practices. This falls under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).
Attack Vector
The attack can be initiated remotely over the network without requiring authentication. An attacker sends a crafted HTTP request to the vulnerable endpoint with malicious SQL syntax embedded in the categoriesId parameter. The application's failure to validate this input allows the injected SQL commands to execute against the backend database with the privileges of the application's database user.
The vulnerability allows attackers to manipulate the categoriesId parameter in requests to /php_action/fetchSelectedCategories.php. By injecting SQL metacharacters and commands, attackers can alter the intended query logic to extract unauthorized data, bypass authentication, modify records, or potentially execute administrative database operations. For detailed technical analysis, refer to the GitHub Issue Discussion and VulDB #313619.
Detection Methods for CVE-2025-6503
Indicators of Compromise
- Unusual or malformed HTTP requests to /php_action/fetchSelectedCategories.php containing SQL keywords such as UNION, SELECT, OR, AND, or comment characters like -- or /*
- Database query logs showing unexpected queries or errors related to the categories functionality
- Anomalous database access patterns including bulk data retrieval or unauthorized table access
- Web server logs showing repeated requests to the vulnerable endpoint with varying parameter values
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the categoriesId parameter
- Monitor application and database logs for SQL syntax errors or unusual query patterns
- Implement intrusion detection signatures for known SQL injection payloads targeting PHP applications
- Enable database query auditing to track unusual SELECT, UNION, or administrative commands
Monitoring Recommendations
- Configure alerting for HTTP requests containing SQL injection patterns to PHP endpoints
- Monitor for unusual database connection volumes or query execution times from the web application
- Track failed login attempts and unexpected privilege escalation in the database
- Review web server access logs for scanning activity targeting Inventory Management System paths
How to Mitigate CVE-2025-6503
Immediate Actions Required
- Restrict network access to the affected Inventory Management System to trusted IP addresses only
- Implement a Web Application Firewall (WAF) rule to filter malicious input to the categoriesId parameter
- Consider temporarily disabling the vulnerable /php_action/fetchSelectedCategories.php endpoint if the categories functionality is not critical
- Review database user privileges and apply principle of least privilege to limit potential damage from exploitation
Patch Information
No official vendor patch has been released at this time. Organizations using code-projects Inventory Management System 1.0 should monitor the Code Projects Resource Hub for security updates and implement the workarounds below until a patch is available.
Workarounds
- Implement input validation and sanitization for the categoriesId parameter at the application layer
- Modify the vulnerable PHP code to use prepared statements (PDO or MySQLi) with parameterized queries
- Deploy a WAF or reverse proxy to filter SQL injection patterns before they reach the application
- Restrict database user permissions to minimum required privileges (no DROP, DELETE, or administrative commands)
- Isolate the application in a network segment with limited database access
# Example: Apache mod_security rule to block SQL injection attempts
SecRule ARGS:categoriesId "@detectSQLi" \
"id:1001,phase:2,deny,status:403,log,msg:'SQL Injection attempt blocked on categoriesId'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


