CVE-2017-18346
📋 TL;DR
This is a critical SQL injection vulnerability in CMS Web-Gooroo that allows remote attackers to execute arbitrary SQL commands via the wbg_login parameter. Attackers can potentially gain unauthorized access, steal data, or take control of affected systems. Any organization running vulnerable versions of CMS Web-Gooroo is affected.
💻 Affected Systems
- CMS Web-Gooroo
📦 What is this software?
Cms Web Gooroo by Web Gooroo
⚠️ Risk & Real-World Impact
Worst Case
Complete compromise of the database server leading to data theft, data manipulation, authentication bypass, and potential remote code execution on the underlying server.
Likely Case
Database compromise allowing attackers to extract sensitive information, modify data, or gain administrative access to the CMS.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation in place.
🎯 Exploit Status
Exploit code is publicly available and requires minimal technical skill to execute.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: Not available
Restart Required: No
Instructions:
No official patch exists. Consider migrating to a supported CMS or implementing workarounds.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and parameterized queries for the wbg_login parameter
Modify /wbg/core/_includes/authorization.inc.php to use prepared statements
Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules
🧯 If You Can't Patch
- Isolate the vulnerable system behind a firewall with strict access controls
- Implement network segmentation to limit database server exposure
🔍 How to Verify
Check if Vulnerable:
Check if CMS Web-Gooroo version is 2013-01-19 or earlier by examining installation files or database version tablesCheck Version:
Check the CMS installation directory for version files or examine the database for version informationVerify Fix Applied:
Test the login functionality with SQL injection payloads to ensure they are properly rejected📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts with SQL syntax
- Unexpected database errors in application logs
Network Indicators:
- SQL injection patterns in HTTP requests to authorization endpoints
- Unusual database connection patterns
SIEM Query:
source="web_logs" AND (uri="/wbg/core/_includes/authorization.inc.php" OR uri LIKE "%authorization%") AND (message LIKE "%wbg_login%" AND (message LIKE "%' OR '%" OR message LIKE "%' UNION %" OR message LIKE "%' SELECT %"))