CVE-2026-4850 Overview
A SQL Injection vulnerability has been discovered in code-projects Simple Laundry System 1.0. The vulnerability affects the /checkregisitem.php file within the Parameter Handler component. Remote attackers can exploit this flaw by manipulating the Long-arm-shirtVol argument to inject malicious SQL commands. The exploit has been publicly released, increasing the risk of active exploitation.
Critical Impact
Remote attackers can inject arbitrary SQL commands through the vulnerable parameter, potentially leading to unauthorized data access, data manipulation, or complete database compromise.
Affected Products
- code-projects Simple Laundry System 1.0
- /checkregisitem.php Parameter Handler component
Discovery Timeline
- 2026-03-26 - CVE-2026-4850 published to NVD
- 2026-03-26 - Last updated in NVD database
Technical Details for CVE-2026-4850
Vulnerability Analysis
This SQL Injection vulnerability exists in the code-projects Simple Laundry System 1.0 application. The vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), which encompasses injection vulnerabilities where user-controlled input is not properly sanitized before being incorporated into commands or queries.
The vulnerable endpoint /checkregisitem.php fails to properly validate or sanitize the Long-arm-shirtVol parameter before using it in SQL queries. This allows an attacker to inject SQL syntax that modifies the intended query logic, potentially allowing unauthorized access to the database contents, modification of data, or execution of administrative database operations.
The network-based attack vector means this vulnerability can be exploited remotely without requiring any authentication or user interaction, making it particularly dangerous for internet-facing deployments of this application.
Root Cause
The root cause of this vulnerability is improper input validation in the Parameter Handler component. The Long-arm-shirtVol parameter value is directly incorporated into SQL queries without adequate sanitization or use of parameterized queries. This lack of input validation allows attackers to break out of the intended query context and inject arbitrary SQL commands.
Attack Vector
The attack can be launched remotely over the network by sending specially crafted HTTP requests to the /checkregisitem.php endpoint. An attacker manipulates the Long-arm-shirtVol parameter by appending SQL injection payloads. Since the parameter value is not properly escaped or handled through prepared statements, the injected SQL becomes part of the executed query. This allows attackers to bypass authentication, extract sensitive data from the database, modify or delete records, or potentially execute operating system commands depending on the database configuration and privileges.
For detailed technical information about the exploit, refer to the GitHub CVE Issue Discussion and VulDB #353155.
Detection Methods for CVE-2026-4850
Indicators of Compromise
- Unusual or malformed requests to /checkregisitem.php containing SQL syntax in the Long-arm-shirtVol parameter
- Database query logs showing unexpected SQL commands such as UNION SELECT, OR 1=1, or comment sequences like -- or /*
- Unexpected database access patterns or data exfiltration from the application database
- Web server access logs with encoded SQL injection payloads targeting the vulnerable endpoint
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests
- Monitor application logs for requests to /checkregisitem.php with suspicious parameter values containing SQL keywords
- Deploy database activity monitoring to detect anomalous query patterns or unauthorized data access
- Use intrusion detection systems (IDS) with SQL injection signature rules for network-level detection
Monitoring Recommendations
- Enable detailed logging for the web application to capture all parameter values submitted to /checkregisitem.php
- Set up alerts for database errors that may indicate SQL injection attempts, such as syntax errors or permission denied messages
- Monitor for unusual outbound data transfers from the database server that could indicate data exfiltration
- Review access logs regularly for requests with URL-encoded special characters or SQL keywords
How to Mitigate CVE-2026-4850
Immediate Actions Required
- Restrict access to /checkregisitem.php or disable the endpoint if not critical to operations
- Implement input validation to allow only expected alphanumeric values in the Long-arm-shirtVol parameter
- Deploy a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
- Review and audit database user permissions to limit potential damage from successful SQL injection attacks
Patch Information
No official patch from the vendor has been identified in the available CVE data. Organizations using code-projects Simple Laundry System 1.0 should contact the vendor at Code Projects for remediation guidance. In the absence of an official patch, implementing the workarounds below is critical.
For additional vulnerability details and updates, refer to:
Workarounds
- Implement prepared statements or parameterized queries for all database interactions in the affected file
- Apply strict input validation using allowlists to only permit expected characters and formats in the Long-arm-shirtVol parameter
- Use a Web Application Firewall configured with SQL injection detection and blocking rules
- Consider isolating or taking offline the vulnerable application until a proper fix can be implemented
- Apply the principle of least privilege to database accounts used by the application to minimize potential impact
# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:Long-arm-shirtVol "@detectSQLi" \
"id:100001,phase:2,deny,status:403,log,msg:'SQL Injection attempt detected in Long-arm-shirtVol parameter'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
