User Sign in from different countries

let threshold = 2;
let Countrydb = externaldata(Network:string, geoname_id:string, continent_code:string, continent_name:string, country_iso_code:string, country_name:string)
[@"https://raw.githubusercontent.com/datasets/geoip2-ipv4/master/data/geoip2-ipv4.csv"];
let UsersLocation = SalesforceServiceCloud
| where EventType =~ 'Login' and LoginStatus=~'LOGIN_NO_ERROR'
| project TimeGenerated, TimestampDerived, ClientIp, UserId, User, UserType ;
UsersLocation
| extend Dummy=1
| extend TimestampDerived = todatetime(TimestampDerived)
| summarize count() by Hour=bin(TimestampDerived,30m), ClientIp,User, Dummy
| partition by Hour(
                lookup (Countrydb|extend Dummy=1) on Dummy
              | where ipv4_is_match(ClientIp, Network)
              )
| summarize NumOfCountries = dcount(country_name) by User, Hour
| where NumOfCountries >= threshold

relevantTechniques:
- T1078
queryFrequency: 1h
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Salesforce Service Cloud/Analytic Rules/Salesforce-SigninsMultipleCountries.yaml
version: 1.0.4
kind: Scheduled
queryPeriod: 1h
severity: Medium
status: Available
requiredDataConnectors:
- connectorId: SalesforceServiceCloudCCPDefinition
  dataTypes:
  - SalesforceServiceCloud
tactics:
- InitialAccess
triggerOperator: gt
triggerThreshold: 0
description: |
    'This query searches for successful user logins from different countries within 30 mins.'
query: |
  let threshold = 2;
  let Countrydb = externaldata(Network:string, geoname_id:string, continent_code:string, continent_name:string, country_iso_code:string, country_name:string)
  [@"https://raw.githubusercontent.com/datasets/geoip2-ipv4/master/data/geoip2-ipv4.csv"];
  let UsersLocation = SalesforceServiceCloud
  | where EventType =~ 'Login' and LoginStatus=~'LOGIN_NO_ERROR'
  | project TimeGenerated, TimestampDerived, ClientIp, UserId, User, UserType ;
  UsersLocation
  | extend Dummy=1
  | extend TimestampDerived = todatetime(TimestampDerived)
  | summarize count() by Hour=bin(TimestampDerived,30m), ClientIp,User, Dummy
  | partition by Hour(
                  lookup (Countrydb|extend Dummy=1) on Dummy
                | where ipv4_is_match(ClientIp, Network)
                )
  | summarize NumOfCountries = dcount(country_name) by User, Hour
  | where NumOfCountries >= threshold  
entityMappings:
- fieldMappings:
  - columnName: User
    identifier: AadUserId
  entityType: Account
name: User Sign in from different countries
id: 3094e036-e5ae-4d6e-8626-b0f86ebc71f2