CVE-2021-27828
📋 TL;DR
This SQL injection vulnerability in In4Suite ERP allows attackers to execute arbitrary SQL queries against the database. Attackers can modify or delete data, potentially causing persistent changes to the application's content and behavior. Organizations running In4Suite ERP 3.2.74.1370 are affected.
💻 Affected Systems
- In4Suite ERP
📦 What is this software?
In4suite Erp by In4velocity
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data destruction, privilege escalation, and full system takeover
Likely Case
Data manipulation or deletion, potential exposure of sensitive information, and application disruption
If Mitigated
Limited impact with proper input validation and parameterized queries in place
🎯 Exploit Status
Public exploit code is available, making this easily exploitable by attackers with basic SQL injection knowledge
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://www.in4velocity.com/in4suite-erp.html
Restart Required: No
Instructions:
Contact In4Velocity for patch availability and upgrade instructions. Consider upgrading to the latest version if available.
🔧 Temporary Workarounds
Implement Web Application Firewall (WAF)
allDeploy a WAF with SQL injection protection rules to block malicious queries
Database Input Validation
allImplement strict input validation and parameterized queries in the application code
🧯 If You Can't Patch
- Isolate the ERP system from internet access and restrict internal network access
- Implement database monitoring and alerting for suspicious SQL queries
🔍 How to Verify
Check if Vulnerable:
Check if running In4Suite ERP version 3.2.74.1370. Test with SQL injection payloads in application input fields.
Check Version:
Check application version in admin panel or configuration files
Verify Fix Applied:
Verify upgrade to a newer version or test that SQL injection payloads no longer execute successfully
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL query patterns
- Database error messages containing SQL syntax
- Multiple failed login attempts with SQL-like payloads
Network Indicators:
- HTTP requests containing SQL keywords (SELECT, UNION, DROP, etc.)
- Unusual database connection patterns
SIEM Query:
source=web_logs AND (SELECT OR UNION OR DROP OR DELETE OR INSERT) AND status=200