CVE-2021-41460
📋 TL;DR
ECShop 4.1.0 contains a SQL injection vulnerability that allows attackers to execute arbitrary SQL commands through crafted inputs. This can lead to unauthorized access to sensitive database information. Any organization running ECShop 4.1.0 is affected.
💻 Affected Systems
- ECShop
📦 What is this software?
Ecshop by Shopex
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including user credentials, payment information, and administrative access leading to full system takeover.
Likely Case
Extraction of sensitive customer data, administrative credentials, and potential privilege escalation.
If Mitigated
Limited information disclosure if proper input validation and WAF rules are in place.
🎯 Exploit Status
SQL injection vulnerabilities in web applications are commonly exploited with automated tools.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 4.1.1 or later
Vendor Advisory: https://www.ecshop.com/
Restart Required: No
Instructions:
1. Backup current installation and database. 2. Download latest ECShop version from official site. 3. Replace vulnerable files with patched versions. 4. Test functionality before production deployment.
🔧 Temporary Workarounds
Input Validation Filter
allImplement strict input validation and parameterized queries in affected code sections
Modify PHP files to use prepared statements with PDO or mysqli
WAF Rule Implementation
linuxDeploy web application firewall rules to block SQL injection patterns
Add mod_security rules for SQL injection detection
🧯 If You Can't Patch
- Implement network segmentation to isolate ECShop from sensitive systems
- Deploy database monitoring to detect unusual SQL query patterns
🔍 How to Verify
Check if Vulnerable:
Check ECShop version in admin panel or by examining version files in installation directoryCheck Version:
Check includes/init.php or admin/index.php for version informationVerify Fix Applied:
Test SQL injection payloads against patched installation to confirm they are blocked📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in web server logs
- Multiple failed login attempts with SQL-like patterns
Network Indicators:
- HTTP requests containing SQL keywords like UNION, SELECT, INSERT in parameters
SIEM Query:
source="web_logs" AND ("union select" OR "' OR '1'='1" OR "sleep(")