The Geographic Improbable Location detection rule is focused on identifying irregular login activities that suggest the possibility of Remote Employment Fraud (REF). REF actors often attempt to obscure their true location through geolocation spoofing, potentially leading to scenarios where an authenticated user appears to log in from two geographically distant locations in a very short time frame. This rule leverages authentication data from Okta to analyze the speed and distance between login events, marking those situations that exhibit improbable travel speeds (such as those exceeding 500 mph) and significant distances (over 750 miles) between consecutive login attempts. The rule incorporates advanced Splunk queries that correlate various data points, including user login apps, IP geolocation, and user work locations to ascertain whether an event fits the profile of improbable travel. By analyzing these patterns, the rule aims to flag potential fraud scenarios that require further investigation. However, it is essential to note that using certain VPNs may lead to false positives, and the rule should be tuned for optimal accuracy.