CVE-2025-5560
📋 TL;DR
This critical vulnerability in PHPGurukul Curfew e-Pass Management System 1.0 allows remote attackers to execute SQL injection attacks via the 'searchdata' parameter in /index.php. Attackers can potentially access, modify, or delete database contents. Organizations using this specific software version are affected.
💻 Affected Systems
- PHPGurukul Curfew e-Pass Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, or remote code execution via database functions.
Likely Case
Unauthorized data access, credential theft, and potential privilege escalation within the application.
If Mitigated
Limited impact with proper input validation, WAF protection, and database permission restrictions.
🎯 Exploit Status
Exploit details are publicly available on GitHub, making this easily exploitable by attackers.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://phpgurukul.com/
Restart Required: No
Instructions:
1. Check vendor website for security updates. 2. If no patch available, implement workarounds. 3. Consider replacing with alternative software.
🔧 Temporary Workarounds
Input Validation Filter
allAdd server-side input validation for the searchdata parameter to block SQL injection attempts.
Modify /index.php to sanitize $_POST['searchdata'] or $_GET['searchdata'] using prepared statements or parameterized queries.
Web Application Firewall
allDeploy WAF rules to block SQL injection patterns targeting the searchdata parameter.
Add WAF rule: Block requests containing SQL keywords in searchdata parameter
🧯 If You Can't Patch
- Isolate the system behind a reverse proxy with strict input filtering
- Implement network segmentation to limit database access from the application server
🔍 How to Verify
Check if Vulnerable:
Test the search functionality with SQL injection payloads like ' OR '1'='1 in the searchdata parameter.Check Version:
Check application version in admin panel or readme files; this only affects version 1.0.Verify Fix Applied:
Retest with SQL injection payloads after implementing fixes; successful attacks should be blocked.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in application logs
- Multiple failed login attempts following search queries
- Long or suspicious search parameter values
Network Indicators:
- HTTP requests with SQL keywords in searchdata parameter
- Unusual database query patterns from application server
SIEM Query:
source="web_logs" AND (searchdata CONTAINS "UNION" OR searchdata CONTAINS "SELECT" OR searchdata CONTAINS "OR '1'='1")