CVE-2026-6151 Overview
A SQL injection vulnerability has been identified in code-projects Vehicle Showroom Management System version 1.0. This vulnerability exists in the file /util/PaymentStatusFunction.php where the CUSTOMER_ID argument is not properly sanitized before being used in SQL queries. The flaw allows remote attackers to inject malicious SQL statements through crafted input, potentially compromising the confidentiality, integrity, and availability of the underlying database.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract sensitive customer and payment data, modify database records, or potentially escalate access to the underlying system. The exploit has been publicly disclosed, increasing the risk of active exploitation.
Affected Products
- code-projects Vehicle Showroom Management System 1.0
- /util/PaymentStatusFunction.php component
Discovery Timeline
- 2026-04-13 - CVE-2026-6151 published to NVD
- 2026-04-13 - Last updated in NVD database
Technical Details for CVE-2026-6151
Vulnerability Analysis
This SQL injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) occurs within the payment status functionality of the Vehicle Showroom Management System. The application fails to properly validate or sanitize user-supplied input in the CUSTOMER_ID parameter before incorporating it into SQL queries executed against the backend database.
When user input is directly concatenated into SQL statements without parameterization or proper escaping, attackers can manipulate the query structure by injecting SQL metacharacters and additional commands. This allows unauthorized data retrieval, modification, or deletion depending on the database permissions and application context.
Root Cause
The root cause of this vulnerability is improper input validation in the /util/PaymentStatusFunction.php file. The CUSTOMER_ID parameter is directly incorporated into SQL queries without using prepared statements or parameterized queries. This fundamental secure coding oversight allows attackers to break out of the intended query context and execute arbitrary SQL commands.
Attack Vector
The vulnerability is exploitable remotely over the network. An attacker can craft malicious HTTP requests containing SQL injection payloads in the CUSTOMER_ID parameter. Since no authentication appears to be required for exploitation, this attack can be initiated by any remote attacker with network access to the vulnerable application.
The attack typically involves sending specially crafted requests to the /util/PaymentStatusFunction.php endpoint with malicious SQL code embedded in the CUSTOMER_ID parameter value. Common injection techniques include UNION-based injection to extract data, boolean-based blind injection for data enumeration, and time-based blind injection when direct output is not visible.
For additional technical details, refer to the GitHub Issue for CVE and VulDB Vulnerability #357031.
Detection Methods for CVE-2026-6151
Indicators of Compromise
- Unusual or malformed requests to /util/PaymentStatusFunction.php containing SQL keywords or special characters in the CUSTOMER_ID parameter
- Database error messages in application logs indicating SQL syntax errors
- Unexpected database queries or access patterns, particularly involving UNION statements or time-delay functions
- Evidence of data exfiltration or unauthorized database modifications
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in the CUSTOMER_ID parameter
- Configure application logging to capture all requests to /util/PaymentStatusFunction.php with full parameter values
- Enable database query logging and alerting for suspicious query patterns such as UNION SELECT, OR 1=1, and time-based functions
- Deploy intrusion detection systems (IDS) with SQL injection signature detection capabilities
Monitoring Recommendations
- Monitor web server access logs for requests containing SQL injection attack signatures targeting the vulnerable endpoint
- Set up alerts for database errors that may indicate injection attempts
- Track unusual database query execution times that could indicate time-based blind SQL injection attacks
- Review application error logs for PHP warnings or SQL syntax errors originating from the vulnerable component
How to Mitigate CVE-2026-6151
Immediate Actions Required
- Remove or restrict access to the /util/PaymentStatusFunction.php file until a proper fix is implemented
- Deploy WAF rules to block requests containing SQL injection patterns in the CUSTOMER_ID parameter
- Implement input validation to allow only numeric values for the CUSTOMER_ID parameter
- Review database user permissions to ensure the application uses least-privilege access
Patch Information
As of the last NVD update on 2026-04-13, no official vendor patch has been released for this vulnerability. Organizations using the affected Vehicle Showroom Management System should contact Code Projects for remediation guidance or consider implementing the workarounds described below.
For additional vulnerability intelligence, refer to VulDB CTI for #357031.
Workarounds
- Implement prepared statements or parameterized queries for all database operations involving user input in the affected PHP file
- Add strict input validation to ensure CUSTOMER_ID contains only expected numeric values using PHP's filter_var() or ctype_digit() functions
- Deploy a reverse proxy or WAF in front of the application to filter malicious requests
- If the payment status functionality is not critical, consider disabling or removing the vulnerable endpoint until a proper fix is available
# Example: Apache .htaccess rule to block access to vulnerable endpoint
<FilesMatch "PaymentStatusFunction\.php$">
Require all denied
</FilesMatch>
# Alternative: Block requests with suspicious CUSTOMER_ID values using mod_rewrite
RewriteEngine On
RewriteCond %{QUERY_STRING} CUSTOMER_ID=.*['";\-\-] [NC]
RewriteRule ^util/PaymentStatusFunction\.php$ - [F,L]
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


