CVE-2026-4784 Overview
A SQL injection vulnerability has been identified in code-projects Simple Laundry System 1.0. This vulnerability affects the /checkcheckout.php file within the Parameter Handler component. By manipulating the serviceId argument, an attacker can inject malicious SQL queries into the application. The vulnerability is remotely exploitable, and proof-of-concept exploit code has been publicly disclosed, increasing the risk of active exploitation.
Critical Impact
This SQL injection vulnerability allows remote attackers to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise without requiring authentication.
Affected Products
- code-projects Simple Laundry System 1.0
- /checkcheckout.php endpoint in Parameter Handler component
Discovery Timeline
- 2026-03-25 - CVE-2026-4784 published to NVD
- 2026-03-25 - Last updated in NVD database
Technical Details for CVE-2026-4784
Vulnerability Analysis
This vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly known as injection. The vulnerable endpoint /checkcheckout.php fails to properly sanitize user-supplied input in the serviceId parameter before incorporating it into SQL queries. This lack of input validation allows attackers to inject arbitrary SQL statements that the database will execute with the same privileges as the application.
The network-accessible nature of this vulnerability means attackers do not require local access or any prior authentication to exploit it. The application's Parameter Handler component directly processes the malicious input without adequate filtering, escaping, or parameterized query implementation.
Root Cause
The root cause of this vulnerability lies in improper input validation within the /checkcheckout.php file. The serviceId parameter is directly concatenated into SQL queries without proper sanitization or the use of prepared statements. This allows special characters and SQL syntax to be interpreted as part of the query structure rather than as data values.
The underlying issue is a failure to implement secure coding practices for database interactions, specifically:
- Missing input validation and sanitization on user-controlled parameters
- Absence of parameterized queries or prepared statements
- Lack of output encoding for database query construction
Attack Vector
The attack vector is network-based, requiring no authentication or user interaction. An attacker can craft malicious HTTP requests targeting the /checkcheckout.php endpoint with specially crafted values in the serviceId parameter. These requests can be sent directly to the vulnerable application from any network location with access to the web server.
The attack requires low complexity to execute, as SQL injection techniques are well-documented and automated tools exist to identify and exploit such vulnerabilities. Attackers could potentially:
- Extract sensitive data from the database
- Modify or delete database records
- Bypass authentication mechanisms
- Escalate privileges within the application
- In some configurations, execute operating system commands
For technical details and proof-of-concept information, refer to the GitHub Issue #1 and VulDB #352801.
Detection Methods for CVE-2026-4784
Indicators of Compromise
- Unusual or malformed requests to /checkcheckout.php containing SQL syntax in the serviceId parameter
- Database error messages appearing in HTTP responses or application logs
- Unexpected database query patterns or elevated query execution times
- Evidence of data exfiltration or unauthorized database modifications
Detection Strategies
- Implement web application firewall (WAF) rules to detect SQL injection patterns in the serviceId parameter
- Monitor HTTP access logs for requests to /checkcheckout.php containing suspicious characters such as single quotes, semicolons, or SQL keywords
- Configure database query logging to identify anomalous query structures or syntax errors
- Deploy intrusion detection systems with signatures for common SQL injection payloads
Monitoring Recommendations
- Enable detailed logging for all requests to the /checkcheckout.php endpoint
- Set up alerts for database errors or exceptions originating from the vulnerable component
- Monitor for unusual database activity patterns including bulk data access or schema enumeration queries
- Implement real-time log analysis to detect injection attempt patterns
How to Mitigate CVE-2026-4784
Immediate Actions Required
- Restrict network access to the Simple Laundry System application to trusted networks only
- Implement a web application firewall (WAF) with SQL injection detection rules
- Review and audit all input handling in the /checkcheckout.php file
- Consider temporarily disabling the checkout functionality if exploitation risk is high
Patch Information
As of the last update, no official vendor patch has been released for this vulnerability. Users should monitor the Code Projects website and the VulDB entry for patch availability. Given the public disclosure of exploit details, applying a patch immediately upon release is strongly recommended.
Workarounds
- Implement parameterized queries or prepared statements for all database interactions involving the serviceId parameter
- Add strict input validation to ensure serviceId only accepts expected numeric values
- Deploy a web application firewall configured to block SQL injection attempts
- Restrict access to the application through network segmentation or IP whitelisting until a patch is available
# Example .htaccess configuration to restrict access
# Add to the web application directory
# Block requests with common SQL injection patterns
RewriteEngine On
RewriteCond %{QUERY_STRING} (;|'|--|union|select|insert|drop|update|delete) [NC]
RewriteRule ^checkcheckout\.php - [F,L]
# Restrict access to trusted IP ranges (adjust as needed)
<Files "checkcheckout.php">
Order deny,allow
Deny from all
Allow from 192.168.1.0/24
</Files>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


