CVE-2025-13585
📋 TL;DR
CVE-2025-13585 is a SQL injection vulnerability in itsourcecode COVID Tracking System 1.0 that allows attackers to execute arbitrary SQL commands via the 'code' parameter in /login.php. This affects all deployments of this specific software version. Attackers can potentially access, modify, or delete database content remotely.
💻 Affected Systems
- itsourcecode COVID Tracking System
📦 What is this software?
Covid Tracking System by Angeljudesuarez
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including sensitive health data exfiltration, authentication bypass, system takeover, and potential ransomware deployment.
Likely Case
Unauthorized data access, credential theft, and potential privilege escalation leading to system compromise.
If Mitigated
Limited impact with proper input validation, WAF protection, and database permission restrictions.
🎯 Exploit Status
Exploit is publicly available and targets the login page directly without authentication.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://itsourcecode.com/
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing workarounds.
🔧 Temporary Workarounds
WAF Rule Implementation
allDeploy web application firewall rules to block SQL injection patterns in the 'code' parameter
# Example ModSecurity rule: SecRule ARGS:code "@detectSQLi" "id:1001,phase:2,deny,status:403"
Input Validation Filter
allAdd parameter validation in login.php to sanitize 'code' input
# PHP example: $code = mysqli_real_escape_string($conn, $_POST['code']);
🧯 If You Can't Patch
- Isolate the system behind a reverse proxy with strict input validation
- Implement network segmentation and restrict database access to minimum required connections
🔍 How to Verify
Check if Vulnerable:
Test /login.php with SQL injection payloads in the 'code' parameter (e.g., ' OR '1'='1)Check Version:
Check software version in admin panel or configuration filesVerify Fix Applied:
Verify that SQL injection attempts no longer succeed and return appropriate error responses📡 Detection & Monitoring
Log Indicators:
- Multiple failed login attempts with SQL patterns in parameters
- Unusual database queries from web server IP
Network Indicators:
- HTTP POST requests to /login.php with SQL keywords in parameters
- Unusual outbound database connections
SIEM Query:
source="web_logs" AND uri_path="/login.php" AND (param="code" AND value MATCHES "(?i)(union|select|insert|delete|update|drop|or|and)")