CVE-2025-14584
📋 TL;DR
This SQL injection vulnerability in the itsourcecode COVID Tracking System 1.0 allows attackers to manipulate database queries through the admin login page. Remote attackers can potentially bypass authentication, access sensitive data, or execute arbitrary SQL commands. Organizations using this specific software version are affected.
💻 Affected Systems
- itsourcecode COVID Tracking System
📦 What is this software?
Covid Tracking System by Angeljudesuarez
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, authentication bypass, privilege escalation, and potential system takeover.
Likely Case
Authentication bypass allowing unauthorized admin access, followed by data exfiltration or system manipulation.
If Mitigated
Limited impact if proper input validation and SQL injection protections are implemented at network or application layers.
🎯 Exploit Status
Exploit details are publicly available on GitHub. The vulnerability requires no authentication and has simple exploitation vectors.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://itsourcecode.com/
Restart Required: No
Instructions:
No official patch available. Consider workarounds or replacing the software.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection rules to block malicious payloads at the /admin/login.php endpoint.
Input Validation Filter
allImplement server-side input validation to sanitize username parameter before processing.
Example PHP: $username = mysqli_real_escape_string($conn, $_POST['Username']);
🧯 If You Can't Patch
- Isolate the COVID Tracking System behind a VPN or internal network only
- Implement strict network access controls and monitor all traffic to /admin/login.php
🔍 How to Verify
Check if Vulnerable:
Test the /admin/login.php endpoint with SQL injection payloads like ' OR '1'='1 in the Username field.Check Version:
Check application version in source code or configuration files. Look for version 1.0 indicators.Verify Fix Applied:
Verify that SQL injection payloads no longer bypass authentication or return database errors.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL syntax in username fields
- Multiple failed login attempts with SQL-like patterns
- Successful admin logins from unexpected IPs
Network Indicators:
- HTTP POST requests to /admin/login.php containing SQL keywords (UNION, SELECT, etc.)
- Abnormal response sizes from login attempts
SIEM Query:
source="web_logs" AND uri="/admin/login.php" AND (request_body CONTAINS "UNION" OR request_body CONTAINS "SELECT" OR request_body CONTAINS "' OR '")