CVE-2025-9743
📋 TL;DR
This SQL injection vulnerability in code-projects Human Resource Integrated System 1.0 allows attackers to manipulate database queries through the login_attendance2.php file. Organizations using this specific HR software version are affected. Remote attackers can potentially access, modify, or delete sensitive HR data.
💻 Affected Systems
- code-projects Human Resource Integrated System
📦 What is this software?
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data destruction, authentication bypass, and potential system takeover.
Likely Case
Unauthorized access to sensitive employee data including personal information, payroll details, and attendance records.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation in place.
🎯 Exploit Status
Public exploit code exists and SQL injection is a well-understood attack vector with many automated tools available.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: https://code-projects.org/
Restart Required: No
Instructions:
1. Check vendor website for updates 2. If no patch available, implement workarounds 3. Consider migrating to supported software
🔧 Temporary Workarounds
Input Validation and Sanitization
allAdd server-side validation for employee_id and date parameters to reject malicious input
Modify login_attendance2.php to validate/sanitize user inputs before database queries
Web Application Firewall Rules
allImplement WAF rules to block SQL injection patterns targeting login_attendance2.php
Add WAF rule: Block requests with SQL keywords in employee_id or date parameters
🧯 If You Can't Patch
- Restrict network access to the HR system using firewall rules
- Implement database monitoring and alerting for suspicious SQL queries
🔍 How to Verify
Check if Vulnerable:
Test login_attendance2.php with SQL injection payloads in employee_id or date parametersCheck Version:
Check software version in admin panel or configuration filesVerify Fix Applied:
Verify that SQL injection attempts no longer succeed and return appropriate error messages📡 Detection & Monitoring
Log Indicators:
- Unusual SQL error messages in application logs
- Multiple failed login attempts with SQL patterns
Network Indicators:
- HTTP requests to login_attendance2.php containing SQL keywords
- Unusual database query patterns
SIEM Query:
source="web_logs" AND uri="*login_attendance2.php*" AND (employee_id="*' OR*" OR date="*' OR*")