Microsoft Sentinel Analytic Rules
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User login from different countries within 3 hours Uses Authentication Normalization

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Id09ec8fa2-b25f-4696-bfae-05a7b85d7b9e
RulenameUser login from different countries within 3 hours (Uses Authentication Normalization)
DescriptionThis query searches for successful user logins from different countries within 3 hours.

To use this analytics rule, make sure you have deployed the ASIM normalization parsers
SeverityHigh
TacticsInitialAccess
TechniquesT1078
KindScheduled
Query frequency3h
Query period3h
Trigger threshold0
Trigger operatorgt
Source Urihttps://github.com/Azure/Azure-Sentinel/blob/master/Detections/ASimAuthentication/imAuthSigninsMultipleCountries.yaml
Version1.2.5
Arm template09ec8fa2-b25f-4696-bfae-05a7b85d7b9e.json
Deploy To Azure
let timeframe = ago(3h);
let threshold = 2;
imAuthentication
| where TimeGenerated > timeframe
| where EventType == 'Logon'
    and EventResult == 'Success'
| where isnotempty(SrcGeoCountry)
| summarize
    StartTime        = min(TimeGenerated)
    , EndTime        = max(TimeGenerated)
    , Vendors        = make_set(EventVendor, 128)
    , Products       = make_set(EventProduct, 128)
    , NumOfCountries = dcount(SrcGeoCountry)
    , Countries      = make_set(SrcGeoCountry, 128)
    by TargetUserId, TargetUsername, TargetUserType
| where NumOfCountries >= threshold
| where TargetUserType !in ("Application", "Service", "System", "Other", "Machine", "ServicePrincipal")
| extend
  Name = iif(
      TargetUsername contains "@"
          , tostring(split(TargetUsername, '@', 0)[0])
          , TargetUsername
      ),
  UPNSuffix = iif(
      TargetUsername contains "@"
      , tostring(split(TargetUsername, '@', 1)[0])
      , ""
  )
tactics:
- InitialAccess
query: |
  let timeframe = ago(3h);
  let threshold = 2;
  imAuthentication
  | where TimeGenerated > timeframe
  | where EventType == 'Logon'
      and EventResult == 'Success'
  | where isnotempty(SrcGeoCountry)
  | summarize
      StartTime        = min(TimeGenerated)
      , EndTime        = max(TimeGenerated)
      , Vendors        = make_set(EventVendor, 128)
      , Products       = make_set(EventProduct, 128)
      , NumOfCountries = dcount(SrcGeoCountry)
      , Countries      = make_set(SrcGeoCountry, 128)
      by TargetUserId, TargetUsername, TargetUserType
  | where NumOfCountries >= threshold
  | where TargetUserType !in ("Application", "Service", "System", "Other", "Machine", "ServicePrincipal")
  | extend
    Name = iif(
        TargetUsername contains "@"
            , tostring(split(TargetUsername, '@', 0)[0])
            , TargetUsername
        ),
    UPNSuffix = iif(
        TargetUsername contains "@"
        , tostring(split(TargetUsername, '@', 1)[0])
        , ""
    )  
triggerOperator: gt
version: 1.2.5
tags:
- Id: 2954d424-f786-4677-9ffc-c24c44c6e7d5
  version: 1.0.0
- Schema: ASIMAuthentication
  SchemaVersion: 0.1.0
triggerThreshold: 0
kind: Scheduled
name: User login from different countries within 3 hours (Uses Authentication Normalization)
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Detections/ASimAuthentication/imAuthSigninsMultipleCountries.yaml
id: 09ec8fa2-b25f-4696-bfae-05a7b85d7b9e
queryFrequency: 3h
queryPeriod: 3h
metadata:
  support:
    tier: Community
  source:
    kind: Community
  author:
    name: Ofer Shezaf
  categories:
    domains:
    - Security - Network
requiredDataConnectors: []
description: |
  'This query searches for successful user logins from different countries within 3 hours.
   To use this analytics rule, make sure you have deployed the [ASIM normalization parsers](https://aka.ms/ASimAuthentication)'  
relevantTechniques:
- T1078
entityMappings:
- fieldMappings:
  - columnName: TargetUserName
    identifier: FullName
  - columnName: Name
    identifier: Name
  - columnName: UPNSuffix
    identifier: UPNSuffix
  entityType: Account
severity: High