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          API Detection Event Is Confirmed Malicious

          API Detection Event Is Confirmed Malicious

          Alan, a Salesforce user, employs an API to query the Opportunity object and extracts 10 million records. It’s the first time that Alan queries the Opportunity object and uses this IP address to log in.

          Required Editions

          Available in both Salesforce Classic (not available in all orgs) and Lightning Experience.

          Available in: Enterprise, Unlimited, and Developer Editions

          Requires Salesforce Shield or Salesforce Event Monitoring add-on subscriptions.

          The event contains this information.

          APIAnomalyEvent Field Value
          Score .95851
          SourceIp 96.43.144.26
          EventDate 2019-05-12T12:22:10.298+00:00
          UserId 00530000009M943
          SecurityEventData (see next table)

          The SecurityEventData field contains this information.

          featureName featureValue featureContribution
          rowCount 1937568 95.00%
          autonomousSystem Bigleaf Networks, Inc. 1.62%
          dayOfWeek Sunday 1.42%
          userAgent Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.132 Safari/537.36} 29.21%
          periodOfDay Evening 0.09%
          averageRowSize 744 0.08%
          screenResolution 900x1440 0.07%

          Kate, the security auditor, starts an investigation. She uses the UserId to determine that Alan’s account was used to query the Opportunity object. She then searches the events for Alan and notices that he’s never queried the Opportunity object. The table shows that rowCount contributes nearly 100% to this anomaly. This feature contribution value is a numerical value that indicates the importance of rowCount in flagging this report generation activity as an anomaly. Because Alan has no history of generating small reports (500–1,000 rows), a report with a million rows is a noticeable departure from that trend. This fact generates the high feature contribution value.

          Kate next discovers that Alan’s account was hacked and the attacker escalated Alan’s access privileges to access data for the entire sales team. As a result, the records contain sales leads for the entire sales team instead of only the sales leads assigned to Alan.

          Kate concludes that this detection event is malicious.

           
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