CVE-2020-24000
📋 TL;DR
This SQL injection vulnerability in eyoucms v1.4.7 allows attackers to execute arbitrary SQL commands via the tid parameter in index.php. Attackers can potentially read, modify, or delete database content, execute system commands, and access sensitive information. All systems running the vulnerable version are affected.
💻 Affected Systems
- eyoucms
📦 What is this software?
Eyoucms by Eyoucms
⚠️ Risk & Real-World Impact
Worst Case
Complete system compromise including remote code execution, database exfiltration, and persistent backdoor installation
Likely Case
Database information disclosure, data manipulation, and potential privilege escalation
If Mitigated
Limited impact with proper input validation and database permissions
🎯 Exploit Status
Simple SQL injection requiring minimal technical skill to exploit
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: v1.4.8 or later
Vendor Advisory: https://github.com/eyoucms/eyoucms/issues/13
Restart Required: No
Instructions:
1. Backup your database and files. 2. Download latest version from official repository. 3. Replace vulnerable files with patched version. 4. Verify parameter sanitization in index.php
🔧 Temporary Workarounds
Input Validation Filter
allAdd parameter validation for tid parameter before processing
Add input validation in index.php: if(!is_numeric($_GET['tid'])) { die('Invalid parameter'); }
Web Application Firewall
allDeploy WAF with SQL injection protection rules
🧯 If You Can't Patch
- Implement strict input validation for all GET/POST parameters
- Restrict database user permissions to minimum required
🔍 How to Verify
Check if Vulnerable:
Check if version is 1.4.7 and test tid parameter with SQL injection payloadsCheck Version:
Check eyoucms version in admin panel or read version fileVerify Fix Applied:
Verify version is 1.4.8+ and test tid parameter with SQL injection payloads📡 Detection & Monitoring
Log Indicators:
- Unusual SQL errors in logs
- Multiple requests with SQL-like tid parameters
- Database connection errors
Network Indicators:
- HTTP requests with SQL injection patterns in tid parameter
- Unusual database traffic patterns
SIEM Query:
source="web_logs" AND (tid="' OR '1'='1" OR tid LIKE "%UNION%" OR tid LIKE "%SELECT%" OR tid LIKE "%INSERT%")