CVE-2025-8587
📋 TL;DR
This SQL injection vulnerability in AKCE Software's SKSPro allows attackers to execute arbitrary SQL commands on the database. All SKSPro installations through version 07012026 are affected, potentially compromising sensitive data and system integrity.
💻 Affected Systems
- AKCE Software Technology R&D Industry and Trade Inc. SKSPro
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data theft, data manipulation, authentication bypass, and potential remote code execution on the database server.
Likely Case
Unauthorized data access and extraction of sensitive information from the database, potentially including user credentials and business data.
If Mitigated
Limited impact with proper input validation and parameterized queries in place, though underlying vulnerability remains.
🎯 Exploit Status
SQL injection vulnerabilities are typically easy to exploit with basic knowledge of SQL and web application testing tools.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://www.usom.gov.tr/bildirim/tr-26-0011
Restart Required: No
Instructions:
1. Monitor vendor website for security updates. 2. Apply patch when available. 3. Test in non-production environment first.
🔧 Temporary Workarounds
Web Application Firewall (WAF)
allDeploy WAF with SQL injection rules to block malicious requests
Database Access Restrictions
allLimit database user permissions to minimum required
🧯 If You Can't Patch
- Isolate SKSPro system from internet and restrict network access
- Implement strict input validation and parameterized queries in application code
🔍 How to Verify
Check if Vulnerable:
Check SKSPro version number in application interface or configuration files
Check Version:
Check application interface or consult vendor documentation
Verify Fix Applied:
Verify version is newer than 07012026 and test with SQL injection payloads in non-production environment
📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL syntax
- Long or malformed query strings in access logs
Network Indicators:
- SQL keywords in HTTP requests (SELECT, UNION, INSERT, etc.)
- Unusual database connection patterns
- High volume of requests to database endpoints
SIEM Query:
source="web_logs" AND ("SELECT" OR "UNION" OR "INSERT" OR "DELETE" OR "UPDATE") AND status="200"