CVE-2017-17580
📋 TL;DR
CVE-2017-17580 is a critical SQL injection vulnerability in FS Linkedin Clone 1.0 that allows attackers to execute arbitrary SQL commands through multiple parameters. This affects all installations of FS Linkedin Clone 1.0, potentially compromising the entire database and application.
💻 Affected Systems
- FS Linkedin Clone
📦 What is this software?
Linkedin Clone by Linkedin Clone Project
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, authentication bypass, and potential remote code execution via database functions.
Likely Case
Database information disclosure, user data theft, and potential privilege escalation within the application.
If Mitigated
Limited impact with proper input validation and parameterized queries in place.
🎯 Exploit Status
Multiple public exploit scripts available. Exploitation requires no authentication and is trivial with automated tools.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: None known
Restart Required: No
Instructions:
No official patch available. Consider migrating to a maintained alternative or implementing custom fixes with parameterized queries.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and parameterized queries for all user inputs in group.php, profile.php, and company_details.php
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious requests
🧯 If You Can't Patch
- Isolate the application behind a reverse proxy with strict input filtering
- Implement network segmentation and restrict database access to only necessary hosts
🔍 How to Verify
Check if Vulnerable:
Test parameters in group.php?grid=, profile.php?fid=, company_details.php?id= with SQL injection payloads like ' OR '1'='1Check Version:
Check application version in source code or configuration filesVerify Fix Applied:
Verify that SQL injection payloads no longer work and that parameterized queries are implemented📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts following SQL injection patterns
- Requests with SQL keywords in parameters
Network Indicators:
- HTTP requests containing SQL injection patterns to vulnerable endpoints
- Unusual database query patterns from application server
SIEM Query:
source="web_logs" AND (uri="*group.php*" OR uri="*profile.php*" OR uri="*company_details.php*") AND (param="*' OR*" OR param="*UNION*" OR param="*SELECT*" OR param="*--*" OR param="*/*")