CVE-2025-6155
📋 TL;DR
This critical SQL injection vulnerability in PHPGurukul Hostel Management System 1.0 allows attackers to manipulate database queries through the Username parameter in the login-hm.inc.php file. Attackers can potentially extract sensitive data, modify database contents, or gain unauthorized access. Any organization using this specific version of the software is affected.
💻 Affected Systems
- PHPGurukul Hostel Management System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, privilege escalation, authentication bypass, and potential remote code execution.
Likely Case
Unauthorized data access, credential theft, and potential system compromise through SQL injection.
If Mitigated
Limited impact with proper input validation, WAF protection, and database permissions in place.
🎯 Exploit Status
Exploit details are publicly available on GitHub, making this easily weaponizable.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://phpgurukul.com/
Restart Required: No
Instructions:
No official patch available. Check vendor website for updates or consider alternative solutions.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement proper input validation and parameterized queries in the login-hm.inc.php file.
Modify PHP code to use prepared statements with PDO or mysqli
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules.
Configure WAF to block SQL injection patterns
🧯 If You Can't Patch
- Isolate the system from internet access and restrict to internal network only
- Implement strict network segmentation and monitor for suspicious database queries
🔍 How to Verify
Check if Vulnerable:
Check if /includes/login-hm.inc.php exists and contains unsanitized Username parameter handlingCheck Version:
Check system documentation or configuration files for version informationVerify Fix Applied:
Test with SQL injection payloads to confirm proper input validation📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Failed login attempts with SQL syntax
Network Indicators:
- HTTP requests containing SQL injection patterns to login endpoint
SIEM Query:
source="web_logs" AND (url="/includes/login-hm.inc.php" AND (query CONTAINS "' OR" OR query CONTAINS "UNION" OR query CONTAINS "SELECT"))