CVE-2025-12864
📋 TL;DR
U-Office Force software has a SQL injection vulnerability that allows authenticated attackers to execute arbitrary SQL commands. This enables reading, modifying, or deleting database contents. Organizations using affected versions of U-Office Force are at risk.
💻 Affected Systems
- U-Office Force
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data destruction, privilege escalation, and potential lateral movement to other systems.
Likely Case
Data exfiltration of sensitive business information, user credentials, and potential modification of critical business data.
If Mitigated
Limited impact due to proper input validation, parameterized queries, and database permission restrictions.
🎯 Exploit Status
SQL injection vulnerabilities are typically easy to exploit with basic web security testing tools
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Check vendor advisory for specific patched version
Vendor Advisory: https://www.twcert.org.tw/en/cp-139-10489-a5a6d-2.html
Restart Required: Yes
Instructions:
1. Review vendor advisory. 2. Download and apply the latest patch from e-Excellence. 3. Restart U-Office Force services. 4. Verify the fix is applied.
🔧 Temporary Workarounds
Input Validation Enhancement
allImplement strict input validation on all user inputs to U-Office Force
Web Application Firewall
allDeploy WAF with SQL injection protection rules
🧯 If You Can't Patch
- Isolate U-Office Force servers from internet and restrict internal access
- Implement network segmentation and monitor for SQL injection attempts
🔍 How to Verify
Check if Vulnerable:
Check U-Office Force version against vendor advisory. Test with SQL injection payloads in authenticated sessions.Check Version:
Check U-Office Force admin interface or configuration files for version informationVerify Fix Applied:
Verify patch version is installed and test SQL injection vectors no longer work.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries in database logs
- Multiple failed login attempts followed by SQL-like payloads
- Unexpected database schema changes
Network Indicators:
- SQL keywords in HTTP POST/GET parameters
- Unusual database connection patterns
- Large data exfiltration from database server
SIEM Query:
source="web_server" AND (http_request CONTAINS "UNION" OR http_request CONTAINS "SELECT *" OR http_request CONTAINS "DROP TABLE")