CVE-2017-17619
📋 TL;DR
CVE-2017-17619 is a critical SQL injection vulnerability in Laundry Booking Script 1.0 that allows attackers to execute arbitrary SQL commands via the /list city parameter. This affects all deployments of Laundry Booking Script 1.0 that are exposed to untrusted input. Attackers can potentially read, modify, or delete database contents.
💻 Affected Systems
- Laundry Booking Script
📦 What is this software?
Laundry Booking Script by Laundry Booking Script Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data destruction, and potential remote code execution if database functions allow it.
Likely Case
Unauthorized data access, data manipulation, and potential authentication bypass leading to administrative access.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
Multiple public exploit scripts are available. The vulnerability requires no authentication and can be exploited with simple HTTP requests.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: Not available
Restart Required: No
Instructions:
No official patch exists. Recommended to upgrade to a different booking system or implement custom fixes with parameterized queries.
🔧 Temporary Workarounds
Input Validation Filter
allAdd server-side validation to sanitize the city parameter before processing
Modify PHP code to validate city parameter using preg_match('/^[a-zA-Z0-9\s]+$/', $city) or similar
Web Application Firewall Rule
allBlock SQL injection patterns in the city parameter
Add WAF rule to detect and block SQL keywords in /list endpoint parameters
🧯 If You Can't Patch
- Implement network segmentation to isolate the vulnerable system from sensitive networks
- Deploy a web application firewall (WAF) with SQL injection protection rules
🔍 How to Verify
Check if Vulnerable:
Test the /list endpoint with SQL injection payloads like: /list?city=' OR '1'='1Check Version:
Check application files for version information or review installation documentationVerify Fix Applied:
Test with SQL injection payloads and verify they are rejected or sanitized📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts following SQL injection patterns
- Unexpected database queries from web application
Network Indicators:
- HTTP requests to /list endpoint with SQL keywords in parameters
- Unusual database traffic patterns from web server
SIEM Query:
source="web_logs" AND uri="/list" AND (param="city" AND value MATCHES "'.*OR.*|'.*AND.*|'.*UNION.*")🔗 References
- https://packetstormsecurity.com/files/145328/Laundry-Booking-Script-1.0-SQL-Injection.html
- https://packetstormsecurity.com/files/145330/Laundry-Booking-Script-1.0-SQL-Injection.html
- https://www.exploit-db.com/exploits/43288/
- https://packetstormsecurity.com/files/145328/Laundry-Booking-Script-1.0-SQL-Injection.html
- https://packetstormsecurity.com/files/145330/Laundry-Booking-Script-1.0-SQL-Injection.html
- https://www.exploit-db.com/exploits/43288/
