CVE-2018-17842
📋 TL;DR
This CVE describes a SQL injection vulnerability in Scriptzee Hotel Booking Engine 1.0 through the h_room_type parameter. Attackers can execute arbitrary SQL commands on the database, potentially compromising sensitive hotel booking data. All installations of Scriptzee Hotel Booking Engine 1.0 are affected.
💻 Affected Systems
- Scriptzee Hotel Booking Engine
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise allowing data theft, modification, or deletion; potential for remote code execution if database permissions allow; full system takeover.
Likely Case
Unauthorized access to hotel booking data including guest information, payment details, and reservation records; database manipulation or destruction.
If Mitigated
Limited impact with proper input validation and parameterized queries; database remains protected with minimal data exposure.
🎯 Exploit Status
Exploit code is publicly available; exploitation requires no authentication and minimal technical skill.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Not available
Restart Required: No
Instructions:
No official patch available. Consider migrating to alternative hotel booking software or implementing workarounds.
🔧 Temporary Workarounds
Input Validation Filter
allImplement server-side validation to sanitize h_room_type parameter input
Modify PHP code to validate h_room_type parameter using preg_match('/^[a-zA-Z0-9_]+$/', $h_room_type) or similar
Web Application Firewall
linuxDeploy WAF with SQL injection protection rules
Install and configure ModSecurity with OWASP Core Rule Set
Enable SQL injection detection rules
🧯 If You Can't Patch
- Isolate the vulnerable system behind a reverse proxy with strict input filtering
- Implement network segmentation to limit database access from the web application
🔍 How to Verify
Check if Vulnerable:
Test h_room_type parameter with SQL injection payloads like ' OR '1'='1Check Version:
Check application files for version information; typically in readme.txt or configuration filesVerify Fix Applied:
Test with same payloads after implementing fixes; should return error or sanitized response📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts following SQL injection patterns
- Web server logs showing SQL keywords in h_room_type parameter
Network Indicators:
- Unusual database traffic patterns from web server
- SQL error messages in HTTP responses
SIEM Query:
source="web_logs" AND (h_room_type="*' OR*" OR h_room_type="*UNION*" OR h_room_type="*SELECT*" OR h_room_type="*DROP*")