CVE-2025-11037: Fabian E-commerce Website SQL Vulnerability

CVE-2025-11037 Overview

A SQL injection vulnerability has been discovered in code-projects E-Commerce Website version 1.0. This security flaw impacts the /pages/admin_index_search.php file, where improper handling of the Search parameter allows attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially enabling attackers to extract sensitive data, modify database contents, or bypass authentication mechanisms. The exploit has been publicly disclosed and may be actively exploited.

Critical Impact

Unauthenticated SQL injection in the admin search functionality allows remote attackers to compromise the database, potentially leading to unauthorized data access, data manipulation, and complete system compromise.

Affected Products

• Fabian E-commerce Website 1.0
• code-projects E-Commerce Website 1.0

Discovery Timeline

• September 26, 2025 - CVE-2025-11037 published to NVD
• October 23, 2025 - Last updated in NVD database

Technical Details for CVE-2025-11037

Vulnerability Analysis

This vulnerability stems from improper input validation in the admin search functionality of the E-Commerce Website application. The /pages/admin_index_search.php endpoint fails to properly sanitize user-supplied input in the Search parameter before incorporating it into SQL queries. This allows attackers to inject arbitrary SQL statements that are executed by the backend database server.

The attack can be initiated remotely without any authentication requirements. This network-accessible vulnerability requires no special privileges or user interaction to exploit, making it particularly dangerous for internet-facing deployments. The weakness is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), which encompasses injection vulnerabilities where untrusted input is improperly handled.

Root Cause

The root cause of this vulnerability is the lack of proper input sanitization and parameterized queries in the admin_index_search.php file. The application directly concatenates user-supplied input from the Search parameter into SQL queries without proper escaping or validation. This coding practice violates secure development principles and leaves the application vulnerable to SQL injection attacks.

Attack Vector

The vulnerability is exploited via network-based attacks targeting the admin search functionality. An attacker can craft malicious HTTP requests to the /pages/admin_index_search.php endpoint with specially crafted SQL payloads in the Search parameter. These payloads can include SQL syntax such as single quotes, UNION statements, and other SQL injection techniques to manipulate the underlying database queries.

The attack surface includes:

• Direct manipulation of the Search GET/POST parameter
• UNION-based SQL injection for data extraction
• Boolean-based blind SQL injection for data enumeration
• Time-based blind SQL injection for data extraction when direct output is not visible

For detailed technical analysis and proof-of-concept information, refer to the GitHub CVE Report and VulDB #325984.

Detection Methods for CVE-2025-11037

Indicators of Compromise

• HTTP requests to /pages/admin_index_search.php containing SQL injection patterns such as single quotes, UNION SELECT statements, or SQL comment sequences
• Unusual database query patterns or errors in application logs
• Unexpected data extraction or modification in the database audit logs
• Access attempts to sensitive database tables from the web application context

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the Search parameter
• Monitor application and database logs for SQL syntax errors or unusual query patterns
• Deploy intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
• Configure database activity monitoring to alert on suspicious query execution

Monitoring Recommendations

• Enable detailed logging for the /pages/admin_index_search.php endpoint and review logs regularly
• Set up alerts for HTTP 500 errors or database connection issues that may indicate exploitation attempts
• Monitor for unexpected database queries containing UNION, SELECT, DROP, or other SQL keywords in non-query contexts
• Implement rate limiting on the admin search endpoint to slow down automated exploitation attempts

How to Mitigate CVE-2025-11037

Immediate Actions Required

• Restrict access to the /pages/admin_index_search.php endpoint via IP whitelisting or VPN requirements
• Implement WAF rules to block SQL injection patterns in the Search parameter
• Review and audit database permissions to limit the impact of potential SQL injection attacks
• Consider temporarily disabling the vulnerable search functionality until a proper fix is implemented

Patch Information

No official vendor patch is currently available for this vulnerability. Organizations using the affected code-projects E-Commerce Website 1.0 should implement the workarounds below and monitor for any security updates from the vendor. For additional information, refer to the Code Projects Security Resource.

Workarounds

• Implement prepared statements and parameterized queries in the admin_index_search.php file to prevent SQL injection
• Add input validation to sanitize the Search parameter, filtering out SQL special characters and keywords
• Deploy a Web Application Firewall (WAF) in front of the application to filter malicious requests
• Restrict database user permissions to limit potential damage from SQL injection exploitation

# Example WAF configuration to block SQL injection patterns
# For ModSecurity-compatible WAF
SecRule ARGS:Search "@rx (?i)(union|select|insert|update|delete|drop|--|;|'|\")" \
    "id:1001,phase:2,deny,status:403,msg:'SQL Injection attempt blocked'"