LoFP LoFP / this detection model will alert on any sender domain that is seen for the first time. this could be a potential false positive. the next step is to investigate and add the url to an allow list if you determine that it is a legitimate sender.

Techniques

Sample rules

Suspicious Email - UBA Anomaly

Description

This detection looks for emails that are suspicious because of their sender, domain rareness, or behavior differences. This is an anomaly generated by Splunk User Behavior Analytics (UBA).

Detection logic


|tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime values(All_UEBA_Events.category) as category from datamodel=UEBA where nodename=All_UEBA_Events.UEBA_Anomalies All_UEBA_Events.UEBA_Anomalies.uba_model = "SuspiciousEmailDetectionModel" by All_UEBA_Events.description All_UEBA_Events.severity All_UEBA_Events.user All_UEBA_Events.uba_event_type All_UEBA_Events.link All_UEBA_Events.signature All_UEBA_Events.url All_UEBA_Events.UEBA_Anomalies.uba_model 
| `drop_dm_object_name(All_UEBA_Events)` 
| `drop_dm_object_name(UEBA_Anomalies)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)` 
| `suspicious_email___uba_anomaly_filter`