CVE-2025-6343 Overview
A critical SQL injection vulnerability has been identified in code-projects Online Shoe Store version 1.0. The vulnerability exists in the /admin/admin_product.php file, where the pid parameter is not properly sanitized before being used in SQL queries. This allows remote attackers to inject arbitrary SQL commands, potentially leading to unauthorized data access, modification, or deletion.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive database information, modify or delete data, and potentially gain full control over the underlying database server.
Affected Products
- code-projects Online Shoe Store 1.0
Discovery Timeline
- 2025-06-20 - CVE-2025-6343 published to NVD
- 2025-06-26 - Last updated in NVD database
Technical Details for CVE-2025-6343
Vulnerability Analysis
This SQL injection vulnerability (CWE-89) occurs in the administrative product management functionality of the Online Shoe Store application. The vulnerable endpoint /admin/admin_product.php accepts a pid (product ID) parameter that is directly incorporated into SQL queries without proper input validation or parameterized query mechanisms.
SQL injection vulnerabilities of this nature are particularly dangerous in administrative interfaces, as they often have elevated database privileges. An attacker exploiting this flaw could potentially read sensitive customer data, modify product pricing and inventory, extract administrator credentials, or use the database server as a pivot point for further attacks on the network infrastructure.
The vulnerability is classified under both 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), indicating that the root cause stems from inadequate input neutralization before data processing.
Root Cause
The root cause of this vulnerability is the lack of proper input sanitization and the use of dynamic SQL query construction. The pid parameter value is concatenated directly into SQL statements without being validated, escaped, or processed through parameterized queries (prepared statements). This allows attackers to break out of the intended query context and inject malicious SQL syntax.
Attack Vector
This vulnerability can be exploited remotely over the network without requiring authentication. An attacker can craft malicious HTTP requests to the /admin/admin_product.php endpoint, manipulating the pid parameter to include SQL injection payloads. Common attack techniques include:
- Union-based injection: Extracting data from other database tables by appending UNION SELECT statements
- Boolean-based blind injection: Inferring database contents through true/false conditions
- Time-based blind injection: Extracting data by measuring response delays from injected sleep commands
- Error-based injection: Leveraging database error messages to reveal information
The exploit has been publicly disclosed, which increases the likelihood of active exploitation attempts against vulnerable installations. For detailed technical information, refer to the GitHub CVE Issue Report and VulDB #313338.
Detection Methods for CVE-2025-6343
Indicators of Compromise
- Unusual or malformed requests to /admin/admin_product.php containing SQL syntax characters such as single quotes, double dashes, semicolons, or UNION keywords
- Database error messages in application logs indicating SQL syntax errors
- Unexpected database queries or connections from web server processes
- Evidence of data exfiltration or unauthorized database access in audit logs
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the pid parameter
- Implement intrusion detection system (IDS) signatures targeting common SQL injection payloads
- Monitor HTTP access logs for suspicious requests to /admin/admin_product.php containing encoded or obfuscated SQL syntax
- Enable database query logging to identify anomalous or unauthorized query patterns
Monitoring Recommendations
- Configure real-time alerting for SQL error patterns in application and database logs
- Implement rate limiting on administrative endpoints to slow down automated exploitation attempts
- Monitor for unusual database activity such as bulk data reads, schema enumeration, or privilege escalation attempts
- Review access logs regularly for requests containing URL-encoded SQL injection characters (%27, %22, %3B, etc.)
How to Mitigate CVE-2025-6343
Immediate Actions Required
- Remove or restrict access to the Online Shoe Store application until a patch is available
- Implement network-level access controls to limit administrative panel access to trusted IP addresses only
- Deploy WAF rules specifically targeting SQL injection attempts on the /admin/admin_product.php endpoint
- Audit database accounts used by the application and apply the principle of least privilege
Patch Information
No official vendor patch has been announced for this vulnerability at the time of publication. Organizations using code-projects Online Shoe Store 1.0 should monitor the Code Projects Resource for security updates and consider the workarounds below.
Workarounds
- Restrict access to /admin/admin_product.php using web server access controls (IP whitelisting, authentication)
- Implement server-side input validation to reject non-numeric values in the pid parameter
- If source code modification is possible, refactor the vulnerable code to use prepared statements with parameterized queries
- Consider disabling or removing the administrative product functionality until a secure implementation is available
- Place the application behind a reverse proxy with SQL injection filtering capabilities
# Example Apache .htaccess configuration to restrict admin access
<Files "admin_product.php">
Require ip 192.168.1.0/24
# Or require specific user authentication
# AuthType Basic
# AuthName "Admin Access"
# AuthUserFile /path/to/.htpasswd
# Require valid-user
</Files>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


