GitHub Signin Burst from Multiple Locations

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Id	d3980830-dd9d-40a5-911f-76b44dfdce16
Rulename	GitHub Signin Burst from Multiple Locations
Description	This detection triggers when there is a Signin burst from multiple locations in GitHub (Entra ID SSO). This detection is based on configurable threshold which can be prone to false positives. To view the anomaly based equivalent of thie detection, please see here https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft%20Entra%20ID/Analytic%20Rules/AnomalousUserAppSigninLocationIncrease-detection.yaml.
Severity	Medium
Tactics	CredentialAccess
Techniques	T1110
Required data connectors	AzureActiveDirectory
Kind	Scheduled
Query frequency	1h
Query period	1h
Trigger threshold	0
Trigger operator	gt
Source Uri	https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft Entra ID/Analytic Rules/Sign-in Burst from Multiple Locations.yaml
Version	1.0.3
Arm template	d3980830-dd9d-40a5-911f-76b44dfdce16.json

KQL

let locationThreshold = 1;
let aadFunc = (tableName:string){
table(tableName)
| where AppDisplayName =~ "GitHub.com"
| where ResultType == 0
| summarize CountOfLocations = dcount(Location), Locations = make_set(Location,100), BurstStartTime = min(TimeGenerated), BurstEndTime = max(TimeGenerated) by UserPrincipalName, Type
| where CountOfLocations > locationThreshold
| extend timestamp = BurstStartTime
};
let aadSignin = aadFunc("SigninLogs");
let aadNonInt = aadFunc("AADNonInteractiveUserSignInLogs");
union isfuzzy=true aadSignin, aadNonInt
| extend Name = tostring(split(UserPrincipalName,'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName,'@',1)[0])

YAML

relevantTechniques:
- T1110
entityMappings:
- fieldMappings:
  - columnName: UserPrincipalName
    identifier: FullName
  - columnName: Name
    identifier: Name
  - columnName: UPNSuffix
    identifier: UPNSuffix
  entityType: Account
triggerThreshold: 0
description: |
  'This detection triggers when there is a Signin burst from multiple locations in GitHub (Entra ID SSO).
   This detection is based on configurable threshold which can be prone to false positives. To view the anomaly based equivalent of thie detection, please see here https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft%20Entra%20ID/Analytic%20Rules/AnomalousUserAppSigninLocationIncrease-detection.yaml. '  
requiredDataConnectors:
- connectorId: AzureActiveDirectory
  dataTypes:
  - SigninLogs
- connectorId: AzureActiveDirectory
  dataTypes:
  - AADNonInteractiveUserSignInLogs
triggerOperator: gt
version: 1.0.3
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft Entra ID/Analytic Rules/Sign-in Burst from Multiple Locations.yaml
id: d3980830-dd9d-40a5-911f-76b44dfdce16
queryFrequency: 1h
query: |
  let locationThreshold = 1;
  let aadFunc = (tableName:string){
  table(tableName)
  | where AppDisplayName =~ "GitHub.com"
  | where ResultType == 0
  | summarize CountOfLocations = dcount(Location), Locations = make_set(Location,100), BurstStartTime = min(TimeGenerated), BurstEndTime = max(TimeGenerated) by UserPrincipalName, Type
  | where CountOfLocations > locationThreshold
  | extend timestamp = BurstStartTime
  };
  let aadSignin = aadFunc("SigninLogs");
  let aadNonInt = aadFunc("AADNonInteractiveUserSignInLogs");
  union isfuzzy=true aadSignin, aadNonInt
  | extend Name = tostring(split(UserPrincipalName,'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName,'@',1)[0])  
severity: Medium
status: Available
queryPeriod: 1h
name: GitHub Signin Burst from Multiple Locations
tactics:
- CredentialAccess
kind: Scheduled

ARM