
Suspicious Login Detection System
Why Choose This Project?
-
With remote access becoming the norm, attackers often exploit login systems through stolen credentials.
-
This system detects unusual login behaviors—like logins from new locations, devices, or odd times—and alerts users/admins.
-
It helps prevent unauthorized access and account compromise in real-time, enhancing account-level security for any platform.
What You Get
-
Complete Source Code (Frontend + Backend)
-
User Dashboard with Login Activity History
-
Admin Panel with Risk-based User Flags
-
Alert System via Email (or SMS optional)
-
Session Tracking, Device & Geo-IP Logs
-
Documentation + Setup Instructions
-
Mobile-Friendly and Scalable UI
-
Machine Learning Ready (optional risk scoring)
Features That Make It Market-Ready
-
Captures login metadata like IP address, location, browser, device
-
Flags logins that differ significantly from historical patterns
-
Sends instant alerts to users for review and approval
-
Maintains a login history table per user with timestamps and location
-
Optional integration with ML algorithm for behavior anomaly detection
-
Detects brute-force patterns or location-hopping logins
-
Displays flagged sessions on the admin dashboard for manual audit
-
Can be integrated into any existing system (LMS, CRM, portals)
Built With Latest Technology Stack
Layer |
Technologies Used |
---|---|
Frontend |
HTML5, CSS3, Bootstrap 5, JavaScript |
Backend |
Node.js (Express), Java (Spring Boot), or PHP (Laravel) |
Database |
MySQL or MongoDB |
Security |
JWT or Session tokens, bcrypt for password hashing |
Geolocation |
IP-API / IPinfo / MaxMind GeoLite2 APIs |
Email Alerts |
SMTP (Gmail, Mailgun, Mailtrap integration) |