CVE-2023-35068
📋 TL;DR
This SQL injection vulnerability in BMA Personnel Tracking System allows attackers to execute arbitrary SQL commands through user inputs. It affects all versions before 20230904, potentially compromising personnel data and system integrity.
💻 Affected Systems
- BMA Personnel Tracking System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, authentication bypass, and potential remote code execution via database functions.
Likely Case
Unauthorized access to sensitive personnel data, extraction of confidential information, and potential privilege escalation within the application.
If Mitigated
Limited impact with proper input validation, parameterized queries, and database permissions restricting unauthorized access.
🎯 Exploit Status
SQL injection vulnerabilities are commonly exploited with automated tools. The high CVSS score suggests easy exploitation.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 20230904 or later
Vendor Advisory: https://www.usom.gov.tr/bildirim/tr-23-0491
Restart Required: Yes
Instructions:
1. Download latest version from vendor. 2. Backup current installation and database. 3. Install updated version. 4. Restart application services. 5. Verify functionality.
🔧 Temporary Workarounds
Web Application Firewall
allDeploy WAF with SQL injection rules to block malicious payloads
Input Validation
allImplement strict input validation on all user inputs
🧯 If You Can't Patch
- Isolate the system from internet access and restrict to internal network only
- Implement network segmentation and strict access controls to limit potential damage
🔍 How to Verify
Check if Vulnerable:
Check application version in admin panel or configuration files. If version is earlier than 20230904, system is vulnerable.Check Version:
Check application configuration or admin interface for version informationVerify Fix Applied:
Confirm version is 20230904 or later and test SQL injection payloads return proper error messages instead of executing.📡 Detection & Monitoring
Log Indicators:
- Unusual database queries
- SQL syntax errors in application logs
- Multiple failed login attempts with SQL 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 "INSERT" OR "UPDATE") AND status=200