CVE-2025-14650 Overview
A SQL injection vulnerability has been discovered in itsourcecode Online Cake Ordering System version 1.0. This flaw affects the file /cakeshop/product.php and allows attackers to manipulate the Product parameter to execute arbitrary SQL commands. The vulnerability can be exploited remotely without authentication, potentially enabling unauthorized access to sensitive database information, data manipulation, or complete database compromise.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database contents, or potentially gain unauthorized access to the underlying system through the vulnerable Product parameter.
Affected Products
- Admerc Online Cake Ordering System 1.0
- itsourcecode Online Cake Ordering System 1.0
Discovery Timeline
- December 14, 2025 - CVE-2025-14650 published to NVD
- December 31, 2025 - Last updated in NVD database
Technical Details for CVE-2025-14650
Vulnerability Analysis
This SQL injection vulnerability exists due to improper input validation in the /cakeshop/product.php file of the Online Cake Ordering System. The application fails to properly sanitize user-supplied input in the Product parameter before incorporating it into SQL queries. This allows attackers to inject malicious SQL statements that are then executed by the database server.
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). The attack can be launched remotely over the network without requiring any authentication or user interaction.
Root Cause
The root cause of this vulnerability is insufficient input validation and the lack of parameterized queries or prepared statements in the application code. The Product parameter is directly concatenated into SQL queries without proper sanitization or escaping, creating a classic SQL injection attack surface. This coding practice violates secure development principles and exposes the application to database manipulation attacks.
Attack Vector
The attack is network-based and can be executed remotely by any unauthenticated attacker. By crafting malicious input in the Product parameter when accessing /cakeshop/product.php, an attacker can inject SQL commands that will be executed by the database. Common exploitation techniques include:
- Union-based injection to extract data from other database tables
- Boolean-based blind injection to infer database contents
- Time-based blind injection to extract data character by character
- Stacked queries to execute multiple SQL statements including data modification commands
The exploit has been publicly disclosed and documented in the GitHub Issue Discussion, increasing the risk of exploitation in the wild.
Detection Methods for CVE-2025-14650
Indicators of Compromise
- Unusual SQL error messages appearing in web server logs from /cakeshop/product.php
- HTTP requests to product.php containing SQL keywords like UNION, SELECT, DROP, or comment characters (--, /**/)
- Unexpected database queries or access patterns originating from the web application
- Database logs showing malformed queries or access to tables not normally accessed by the application
Detection Strategies
- Deploy web application firewall (WAF) rules to detect and block SQL injection patterns in the Product parameter
- Implement application-level logging to capture all requests to /cakeshop/product.php with their parameter values
- Configure database activity monitoring to alert on suspicious query patterns or unauthorized table access
- Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
Monitoring Recommendations
- Enable verbose logging on the web server and regularly review logs for attack signatures
- Set up alerts for HTTP 500 errors from product.php which may indicate failed injection attempts
- Monitor database performance metrics for unusual spikes in query execution that could indicate exploitation
- Implement real-time security monitoring with correlation rules for SQL injection attack patterns
How to Mitigate CVE-2025-14650
Immediate Actions Required
- Remove the Online Cake Ordering System from production or restrict network access to trusted sources only
- Deploy a web application firewall (WAF) with SQL injection protection rules in front of the application
- Review database access logs for signs of prior exploitation
- Consider implementing input validation at the network perimeter level as a temporary measure
Patch Information
No official vendor patch is currently available for this vulnerability. The vendor, itsourcecode, provides this as open-source demonstration code. Organizations using this software should implement the workarounds listed below or migrate to a more secure e-commerce platform. Monitor the IT Source Code Resource page for any future updates or security fixes.
For additional technical details, refer to the VulDB Entry #336383.
Workarounds
- Modify the source code to implement parameterized queries or prepared statements for all database interactions
- Add input validation to sanitize the Product parameter, allowing only expected characters (alphanumeric and limited special characters)
- Implement a web application firewall with strict SQL injection detection rules
- Restrict database user privileges to minimum required permissions (principle of least privilege)
- Consider isolating the application in a network segment with limited access to critical systems
# Example .htaccess rules to block common SQL injection patterns
# Place in the web application root directory
<IfModule mod_rewrite.c>
RewriteEngine On
# Block requests containing SQL keywords
RewriteCond %{QUERY_STRING} (union|select|insert|drop|delete|update|concat|char|declare) [NC]
RewriteRule .* - [F,L]
# Block requests with SQL comment patterns
RewriteCond %{QUERY_STRING} (\-\-|\/\*|\*\/) [NC]
RewriteRule .* - [F,L]
</IfModule>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

