CVE-2025-2984
📋 TL;DR
This critical SQL injection vulnerability in Payroll Management System 1.0 allows attackers to manipulate database queries through the emp_id parameter in /delete.php. Remote attackers can potentially read, modify, or delete sensitive payroll data. All users of this specific software version are affected.
💻 Affected Systems
- code-projects Payroll Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including theft of sensitive employee data (SSNs, salaries, personal information), unauthorized payroll modifications, and potential system takeover.
Likely Case
Data exfiltration of employee records and payroll information, potentially leading to identity theft or financial fraud.
If Mitigated
Limited information disclosure if database permissions are properly restricted and input validation is implemented elsewhere.
🎯 Exploit Status
Exploit details are publicly available on GitHub, making this easily weaponizable by attackers.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative payroll software or implementing custom fixes with parameterized queries.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF rules to block SQL injection patterns targeting /delete.php
Access Restriction
linuxBlock external access to /delete.php via firewall or web server configuration
# Apache: RewriteRule ^delete\.php$ - [F]
# Nginx: location ~ /delete\.php$ { deny all; }
🧯 If You Can't Patch
- Implement network segmentation to isolate the payroll system from internet access
- Deploy database monitoring to detect unusual SQL queries and access patterns
🔍 How to Verify
Check if Vulnerable:
Test /delete.php endpoint with SQL injection payloads in emp_id parameter (e.g., emp_id=1' OR '1'='1)Check Version:
Check software documentation or configuration files for version informationVerify Fix Applied:
Verify that SQL injection attempts no longer succeed and return appropriate error messages📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in web logs
- Multiple failed delete.php requests with SQL syntax
- Unexpected database queries from web application
Network Indicators:
- HTTP requests to /delete.php with SQL keywords in parameters
- Unusual database traffic patterns from web server
SIEM Query:
source="web_logs" AND uri="/delete.php" AND (param="emp_id" AND value MATCHES "(?i)(union|select|insert|delete|update|drop|--|'|;)")