CVE-2026-5238 Overview
A SQL Injection vulnerability has been identified in itsourcecode Payroll Management System version 1.0. The vulnerability exists in the /view_employee.php file within the Parameter Handler component. By manipulating the ID argument, an attacker can inject malicious SQL commands that are executed by the underlying database. This attack can be performed remotely without authentication, and a public exploit is available, increasing the risk of exploitation in the wild.
Critical Impact
This SQL Injection vulnerability allows remote attackers to manipulate database queries through the ID parameter in /view_employee.php, potentially enabling unauthorized data access, modification, or deletion of sensitive payroll information.
Affected Products
- itsourcecode Payroll Management System 1.0
- /view_employee.php component (Parameter Handler)
Discovery Timeline
- 2026-04-01 - CVE-2026-5238 published to NVD
- 2026-04-01 - Last updated in NVD database
Technical Details for CVE-2026-5238
Vulnerability Analysis
The vulnerability is classified as CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly known as injection. The affected functionality in /view_employee.php fails to properly sanitize the ID parameter before incorporating it into SQL queries. This allows an attacker to inject arbitrary SQL commands that are then executed by the database server with the same privileges as the application's database user.
The vulnerability is network-accessible, meaning attackers can exploit it remotely without requiring any special privileges or user interaction. Given that Payroll Management Systems typically contain sensitive employee data including salary information, bank details, and personal identifiers, successful exploitation could lead to significant data breaches.
Root Cause
The root cause of this vulnerability is inadequate input validation and the absence of parameterized queries or prepared statements in the /view_employee.php file. The application directly incorporates user-supplied input from the ID parameter into SQL query construction without proper sanitization, escaping, or the use of parameterized queries. This implementation flaw allows specially crafted input to break out of the intended query context and execute attacker-controlled SQL commands.
Attack Vector
The attack can be carried out remotely over the network by sending malicious HTTP requests to the vulnerable /view_employee.php endpoint. An attacker would craft a request containing SQL injection payloads in the ID parameter. Since the vulnerability requires no authentication or user interaction, it can be exploited by any network-accessible attacker who can reach the application.
The exploitation technique typically involves appending SQL metacharacters and commands to the ID parameter value. This could allow attackers to:
- Extract sensitive data from the database (UNION-based or error-based extraction)
- Modify or delete existing records
- Potentially escalate privileges within the database
- In some configurations, execute operating system commands
A proof-of-concept exploit has been publicly disclosed and is available at the GitHub PoC Repository. Security teams should reference this repository for specific technical details regarding the exploitation methodology.
Detection Methods for CVE-2026-5238
Indicators of Compromise
- Unusual or malformed requests to /view_employee.php containing SQL metacharacters in the ID parameter (e.g., single quotes, double dashes, UNION statements)
- Database error messages exposed in HTTP responses indicating SQL syntax errors
- Unexpected database queries or access patterns in database audit logs
- Web server access logs showing requests with URL-encoded SQL injection payloads targeting the ID parameter
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP parameters
- Enable database query logging and monitor for anomalous queries originating from the web application
- Implement intrusion detection system (IDS) signatures for common SQL injection attack patterns
- Review web server access logs for requests to /view_employee.php containing suspicious characters or SQL keywords
Monitoring Recommendations
- Set up real-time alerting for database errors that may indicate injection attempts
- Monitor the /view_employee.php endpoint for unusual traffic patterns or request volumes
- Track database user activities and alert on unexpected data extraction or modification operations
- Implement application-level logging to capture all parameter values submitted to vulnerable endpoints
How to Mitigate CVE-2026-5238
Immediate Actions Required
- Restrict network access to the Payroll Management System to trusted IP addresses only until a patch is available
- Implement WAF rules to filter SQL injection patterns in the ID parameter
- If possible, disable or remove the /view_employee.php functionality until the vulnerability is remediated
- Review database permissions and ensure the application uses a least-privilege database account
Patch Information
As of the last update on 2026-04-01, no official vendor patch has been released for this vulnerability. Organizations using itsourcecode Payroll Management System 1.0 should contact the vendor through the IT Source Code Website for remediation guidance. Additional vulnerability details are available at the VulDB #354389 advisory.
Workarounds
- Implement input validation to restrict the ID parameter to numeric values only
- Deploy a Web Application Firewall (WAF) with SQL injection protection enabled
- Restrict access to the application through network segmentation or VPN requirements
- Consider taking the application offline if it processes highly sensitive data until proper remediation is implemented
# Example WAF rule configuration (ModSecurity)
# Block SQL injection attempts in ID parameter
SecRule ARGS:ID "@detectSQLi" \
"id:100001,\
phase:2,\
block,\
msg:'SQL Injection attempt detected in ID parameter',\
log,\
severity:'CRITICAL'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


