CVE-2024-9925
📋 TL;DR
A critical SQL injection vulnerability in TAI Smart Factory's QPLANT SF version 1.0 allows remote attackers to execute arbitrary SQL commands via the 'email' parameter in the 'RequestPasswordChange' endpoint. This could enable complete database compromise including sensitive factory data, user credentials, and operational information. All organizations using the vulnerable version are affected.
💻 Affected Systems
- TAI Smart Factory QPLANT SF
📦 What is this software?
Qplant Sf by Taismartfactory
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to theft of all sensitive data, credential harvesting, potential ransomware deployment, and operational disruption of smart factory systems.
Likely Case
Attackers exfiltrate sensitive database information including user credentials, production data, and intellectual property, potentially leading to further system compromise.
If Mitigated
Limited data exposure if proper input validation and WAF rules are in place, though the vulnerability remains present.
🎯 Exploit Status
SQL injection via HTTP parameters is well-understood and easily weaponized. The vulnerability requires no authentication.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not available
Vendor Advisory: https://incibe.es/en/incibe-cert/notices/aviso-sci/sql-injection-qplant-tai-smart-factory
Restart Required: No
Instructions:
No official patch available. Contact TAI Smart Factory for remediation guidance and monitor for updates.
🔧 Temporary Workarounds
Web Application Firewall (WAF) Rules
allImplement WAF rules to block SQL injection patterns targeting the RequestPasswordChange endpoint
Input Validation Filter
allAdd server-side input validation to reject suspicious email parameter values
🧯 If You Can't Patch
- Isolate the QPLANT SF system from internet access and restrict internal network access
- Implement strict monitoring and alerting for unusual database queries or access patterns
🔍 How to Verify
Check if Vulnerable:
Test the RequestPasswordChange endpoint with SQL injection payloads in the email parameter and observe database error responses or unexpected data returns.Check Version:
Check application version through admin interface or configuration files (specific command depends on deployment)Verify Fix Applied:
After implementing workarounds, test with the same payloads to confirm they are blocked or properly sanitized.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed password change requests with suspicious email patterns
- Database queries from unexpected sources
Network Indicators:
- HTTP POST requests to RequestPasswordChange with SQL keywords in parameters
- Unusual database connection patterns from application server
SIEM Query:
source="application_logs" AND ("SQL syntax" OR "database error" OR "RequestPasswordChange" AND email=*SELECT* OR email=*UNION*)