CVE-2025-3976
📋 TL;DR
This critical SQL injection vulnerability in PHPGurukul COVID19 Testing Management System 1.0 allows attackers to manipulate database queries via the mobilenumber parameter in /new-user-testing.php. Remote attackers can potentially read, modify, or delete sensitive data including patient records and system credentials. Organizations using this specific version of the COVID19 testing management system are affected.
💻 Affected Systems
- PHPGurukul COVID19 Testing Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to exposure of all patient health data, administrative credentials theft, and potential system takeover through privilege escalation.
Likely Case
Unauthorized access to sensitive patient testing records, personal information, and potential data exfiltration or manipulation.
If Mitigated
Limited impact with proper input validation and database permissions preventing data modification or system access.
🎯 Exploit Status
Exploit details are publicly available on GitHub. The vulnerability requires no authentication and SQL injection is straightforward to exploit.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://phpgurukul.com/
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative software or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and parameterized queries for the mobilenumber parameter in /new-user-testing.php
Web Application Firewall Rules
allDeploy WAF rules to block SQL injection patterns targeting the vulnerable endpoint
🧯 If You Can't Patch
- Isolate the system from internet access and restrict internal network access
- Implement strict database permissions limiting the application user to only necessary operations
🔍 How to Verify
Check if Vulnerable:
Test the /new-user-testing.php endpoint with SQL injection payloads in the mobilenumber parameter
Check Version:
Check system documentation or configuration files for version information
Verify Fix Applied:
Verify that SQL injection attempts no longer succeed and proper input validation is implemented
📡 Detection & Monitoring
Log Indicators:
- Unusual database queries from web application logs
- Multiple failed login attempts or SQL errors in application logs
Network Indicators:
- SQL injection patterns in HTTP POST requests to /new-user-testing.php
- Unusual database connection patterns
SIEM Query:
source="web_logs" AND uri="/new-user-testing.php" AND (payload="' OR " OR payload="UNION" OR payload="SELECT")