CVE-2018-17048
📋 TL;DR
This SQL injection vulnerability in FDCMS 4.2 allows attackers to execute arbitrary SQL commands through the admin/Lib/Action/FpluginAction.class.php component. This affects all installations of FDCMS 4.2 that have the vulnerable file present. Attackers could potentially access, modify, or delete database content.
💻 Affected Systems
- FDCMS (Fangfa Content Manage System)
📦 What is this software?
Fdcms by Fangfa
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, or full system takeover via subsequent attacks.
Likely Case
Unauthorized data access, privilege escalation, or data manipulation in the CMS database.
If Mitigated
Limited impact with proper input validation and database permissions restricting damage to non-critical data.
🎯 Exploit Status
Exploitation requires admin-level access to the CMS. SQL injection techniques are well-documented and easily weaponized.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Check GitHub commits for fixes
Vendor Advisory: http://www.fangfacms.com/
Restart Required: No
Instructions:
1. Check the GitHub repository for security commits. 2. Apply input validation/sanitization to FpluginAction.class.php. 3. Update to a patched version if available.
🔧 Temporary Workarounds
Input Validation Implementation
allAdd parameter validation and SQL injection prevention to the vulnerable file
Edit admin/Lib/Action/FpluginAction.class.php to implement prepared statements or parameterized queries
Access Restriction
allRestrict access to admin functionality
Configure web server to restrict access to admin directory
Implement IP whitelisting for admin panel
🧯 If You Can't Patch
- Implement web application firewall (WAF) with SQL injection rules
- Isolate the CMS system from sensitive networks and databases
🔍 How to Verify
Check if Vulnerable:
Check if admin/Lib/Action/FpluginAction.class.php exists and contains unsanitized SQL queries
Check Version:
Check CMS version in configuration files or admin panel
Verify Fix Applied:
Verify that input parameters are properly validated and SQL queries use prepared statements
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts to admin panel
- Unexpected database schema changes
Network Indicators:
- SQL error messages in HTTP responses
- Unusual database connection patterns from web server
SIEM Query:
source="web_logs" AND ("sql" OR "database" OR "select" OR "union") AND status=200 AND uri="*/admin/*"