Suspicious Login Detection for Staff Users
Ensuring the security of staff accounts is critical for the smooth functioning of any Learning Management System (LMS). At Testpress, we prioritize safeguarding your data by introducing Suspicious Login Detection for staff users. This feature helps monitor and flag unusual login activities to prevent potential security breaches.
How Suspicious Login Detection Works
Our system automatically tracks and analyzes login activities based on several conditions to identify potential threats. Here are the scenarios where login activities are flagged as suspicious
① New Location
If a staff user logs in from a location that they haven’t used in their recent 15 logins, it is flagged as suspicious
② New Device
When a staff user logs in from a device not used in their past 15 logins, the system detects it as suspicious activity
③ Rapid Logins in a Short Interval
If a staff user logs in more than 3 times within an hour, this behavior is considered unusual and flagged accordingly
④ Unusual Login Time
Login attempts made between 12:00 a.m. and 3:00 a.m. are flagged as suspicious, as they fall outside typical working hours
⑤ Threshold for Detection
To avoid false positives for new users, the system applies suspicious login detection only after a staff user has logged in at least 3 times.
What Happens When Suspicious Activity is Detected?
When suspicious login behavior is identified, our system takes immediate action to notify admin users:
Email Notifications
Admin users receive an alert email containing all the critical details of the flagged activity. Here’s what the email includes:
Email Subject
User Details
Flagged Reasons
Additional Information
Multiple Flagged Reasons
If the system identifies more than one suspicious condition, all flagged reasons are included in the email to give admins a comprehensive overview.
Why Choose Testpress LMS?
Testpress LMS goes beyond just providing a robust learning platform; it also ensures the safety and integrity of your system. With our Suspicious Login Detection feature, you can:
