CVE-2025-13769
📋 TL;DR
CVE-2025-13769 is a SQL injection vulnerability in WebITR software developed by Uniong. Authenticated remote attackers can execute arbitrary SQL commands to read sensitive database contents. Organizations using vulnerable versions of WebITR are affected.
💻 Affected Systems
- WebITR
📦 What is this software?
Webitr by Uniong
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including sensitive user data, credentials, and business information leading to data breach and potential lateral movement.
Likely Case
Unauthorized access to database contents, data exfiltration of sensitive information, and potential privilege escalation.
If Mitigated
Limited data exposure if proper input validation and database permissions are enforced.
🎯 Exploit Status
SQL injection vulnerabilities are commonly exploited. Requires authenticated access but exploitation is straightforward once access is obtained.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not specified in references
Vendor Advisory: https://www.twcert.org.tw/en/cp-139-10539-21f45-2.html
Restart Required: Yes
Instructions:
1. Contact Uniong vendor for patched version. 2. Backup current installation. 3. Apply vendor-provided patch. 4. Restart WebITR services. 5. Verify fix implementation.
🔧 Temporary Workarounds
Input Validation Enhancement
allImplement strict input validation and parameterized queries at application level
Database Permission Restriction
allLimit database user permissions to minimum required operations
🧯 If You Can't Patch
- Implement web application firewall (WAF) with SQL injection rules
- Isolate WebITR system from internet and restrict network access
🔍 How to Verify
Check if Vulnerable:
Check WebITR version against vendor advisory. Test for SQL injection using safe testing methods.Check Version:
Check WebITR administration interface or configuration files for version informationVerify Fix Applied:
Verify patch installation and test that SQL injection attempts are properly blocked.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL query patterns
- Multiple failed authentication attempts followed by SQL-like payloads
- Database error messages in application logs
Network Indicators:
- SQL keywords in HTTP POST/GET parameters
- Unusual database connection patterns
SIEM Query:
source="webitr_logs" AND ("sql" OR "select" OR "union" OR "insert" OR "update" OR "delete") AND status="200"