CVE-2025-10446 Overview
A SQL injection vulnerability has been identified in Campcodes Computer Sales and Inventory System version 1.0. The vulnerability exists in the file /pages/cust_searchfrm.php when the action=edit parameter is used. Improper handling of the ID argument allows attackers to inject malicious SQL queries, potentially compromising the database and the underlying system. This vulnerability can be exploited remotely without authentication, making it accessible to any attacker with network access to the application.
Critical Impact
Unauthenticated remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database contents, or potentially gain further access to the underlying system through database-level exploitation techniques.
Affected Products
- Campcodes Computer Sales and Inventory System 1.0
Discovery Timeline
- September 15, 2025 - CVE-2025-10446 published to NVD
- September 19, 2025 - Last updated in NVD database
Technical Details for CVE-2025-10446
Vulnerability Analysis
This SQL injection vulnerability (CWE-74: Injection) affects the customer search functionality in the Campcodes Computer Sales and Inventory System. The vulnerable endpoint /pages/cust_searchfrm.php?action=edit fails to properly sanitize the ID parameter before incorporating it into SQL queries. When user-supplied input is passed directly to database queries without proper parameterization or input validation, attackers can manipulate the query logic to execute arbitrary SQL commands.
The vulnerability is remotely exploitable and requires no authentication or user interaction, making it particularly dangerous for internet-facing installations. Successful exploitation could allow attackers to read, modify, or delete database records, extract sensitive customer information, and potentially escalate to further system compromise depending on the database configuration and privileges.
Root Cause
The root cause of this vulnerability is insufficient input validation and the lack of parameterized queries in the application's database interaction layer. The ID parameter is directly concatenated into SQL queries without sanitization, allowing special SQL characters and commands to be interpreted by the database engine. This represents a classic injection flaw where untrusted user input is treated as part of the command structure rather than data.
Attack Vector
The attack is conducted remotely over the network by sending specially crafted HTTP requests to the vulnerable endpoint. An attacker would target the /pages/cust_searchfrm.php file with the action=edit parameter and inject SQL syntax through the ID parameter. Common exploitation techniques include UNION-based injection to extract data from other tables, boolean-based blind injection to infer information through application responses, or time-based blind injection using database sleep functions.
The exploit has been publicly disclosed, increasing the risk of widespread exploitation. Attackers can leverage this vulnerability to bypass authentication mechanisms, dump database contents including user credentials, or manipulate application data. For detailed technical information, see the GitHub CVE Issue and VulDB entry.
Detection Methods for CVE-2025-10446
Indicators of Compromise
- Unusual or malformed requests to /pages/cust_searchfrm.php containing SQL syntax characters such as single quotes, double dashes, or UNION keywords in the ID parameter
- Database error messages appearing in HTTP responses or application logs indicating SQL syntax errors
- Unexpected database queries or access patterns in database audit logs
- Large data exfiltration events or unusual outbound traffic from the database server
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting the ID parameter
- Implement application-level logging to capture all requests to /pages/cust_searchfrm.php and flag suspicious parameter values
- Enable database query logging and monitor for anomalous query patterns or unauthorized data access
- Use intrusion detection systems (IDS) with signatures for SQL injection attack patterns
Monitoring Recommendations
- Monitor web server access logs for requests containing SQL metacharacters (`, ', --, ;, UNION, SELECT) in URL parameters
- Set up alerts for database errors or exceptions that may indicate injection attempts
- Track failed and successful authentication events for signs of authentication bypass
- Review database audit logs for bulk data retrieval or unauthorized table access
How to Mitigate CVE-2025-10446
Immediate Actions Required
- Restrict network access to the vulnerable application until a patch is applied
- Implement Web Application Firewall rules to block SQL injection attempts targeting the ID parameter
- Review database user permissions and apply the principle of least privilege to limit potential damage
- Enable comprehensive logging on both the web server and database to detect exploitation attempts
Patch Information
No official patch information is currently available from the vendor. Organizations should monitor the Campcodes website for security updates. In the absence of an official patch, implementing the workarounds below is strongly recommended.
Workarounds
- Deploy a Web Application Firewall (WAF) configured to detect and block SQL injection patterns in request parameters
- Implement input validation at the network edge using a reverse proxy to sanitize the ID parameter before it reaches the application
- Restrict access to the application to trusted IP addresses or networks only
- Consider disabling or removing the vulnerable /pages/cust_searchfrm.php functionality if it is not critical to business operations
# Example Apache mod_rewrite rule to block suspicious ID parameter values
# Add to .htaccess or Apache configuration
RewriteEngine On
RewriteCond %{QUERY_STRING} (^|&)ID=.*['\";-] [NC,OR]
RewriteCond %{QUERY_STRING} (union|select|insert|update|delete|drop|exec|script) [NC]
RewriteRule ^pages/cust_searchfrm\.php - [F,L]
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


