Dataverse - New Dataverse application user activity type

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Id	5c768e7d-7e5e-4d57-80d4-3f50c96fbf70
Rulename	Dataverse - New Dataverse application user activity type
Description	Identifies new or previously unseen activity types associated with Dataverse application (non-interactive) user.
Severity	Medium
Tactics	CredentialAccess Execution PrivilegeEscalation
Techniques	T1635 T0871 T1078
Required data connectors	Dataverse
Kind	Scheduled
Query frequency	1h
Query period	14d
Trigger threshold	0
Trigger operator	gt
Source Uri	https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft Business Applications/Analytic Rules/Dataverse - New Dataverse application user activity type.yaml
Version	3.2.0
Arm template	5c768e7d-7e5e-4d57-80d4-3f50c96fbf70.json

KQL

let query_frequency = 1h;
let query_lookback = 14d;
let app_user_regex = "^[0-9A-Fa-f]{8}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{12}\\.com$";
let guid_regex = "([0-9A-Fa-f]{8}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{12})";
let application_users = DataverseActivity
    | where UserId !endswith "@onmicrosoft.com" and UserId != "Unknown"
    | summarize by UserId
    | where split(UserId, "@")[1] matches regex app_user_regex;
let historical_app_activity = application_users
    | join kind = inner (
        DataverseActivity
        | where TimeGenerated between(ago(query_lookback) .. ago(query_frequency))
        | summarize by UserId, EntityName, Message, InstanceUrl)
        on
        UserId;
let current_activity = application_users
    | join kind= inner (
        DataverseActivity
        | where TimeGenerated >= ago(query_frequency)
        | summarize by UserId, EntityName, Message, InstanceUrl)
        on
        UserId;
current_activity
| join kind = leftanti (historical_app_activity) on UserId, Message, EntityName, InstanceUrl
| summarize NewActivities = make_set(strcat(Message, " ", EntityName), 1000) by UserId, InstanceUrl
| extend
    AadUserId = extract(guid_regex, 1, tostring(split(UserId, "@")[0])),
    CloudAppId = int(32780)
| project
    UserId,
    NewActivities,
    InstanceUrl,
    AadUserId,
    CloudAppId

YAML

relevantTechniques:
- T1635
- T0871
- T1078
entityMappings:
- fieldMappings:
  - columnName: AadUserId
    identifier: AadUserId
  entityType: Account
- fieldMappings:
  - columnName: CloudAppId
    identifier: AppId
  - columnName: InstanceUrl
    identifier: InstanceName
  entityType: CloudApplication
version: 3.2.0
triggerThreshold: 0
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft Business Applications/Analytic Rules/Dataverse - New Dataverse application user activity type.yaml
description: Identifies new or previously unseen activity types associated with Dataverse application (non-interactive) user.
requiredDataConnectors:
- connectorId: Dataverse
  dataTypes:
  - DataverseActivity
triggerOperator: gt
alertDetailsOverride:
  alertDisplayNameFormat: 'Dataverse - Unusual non-interactive account activity in {{InstanceUrl}} '
  alertDescriptionFormat: '{{UserId}} generated new activities in {{InstanceUrl}} which had not been seen previously in the Dataverse.'
eventGroupingSettings:
  aggregationKind: SingleAlert
id: 5c768e7d-7e5e-4d57-80d4-3f50c96fbf70
queryFrequency: 1h
query: |
  let query_frequency = 1h;
  let query_lookback = 14d;
  let app_user_regex = "^[0-9A-Fa-f]{8}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{12}\\.com$";
  let guid_regex = "([0-9A-Fa-f]{8}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{4}-[0-9A-Fa-f]{12})";
  let application_users = DataverseActivity
      | where UserId !endswith "@onmicrosoft.com" and UserId != "Unknown"
      | summarize by UserId
      | where split(UserId, "@")[1] matches regex app_user_regex;
  let historical_app_activity = application_users
      | join kind = inner (
          DataverseActivity
          | where TimeGenerated between(ago(query_lookback) .. ago(query_frequency))
          | summarize by UserId, EntityName, Message, InstanceUrl)
          on
          UserId;
  let current_activity = application_users
      | join kind= inner (
          DataverseActivity
          | where TimeGenerated >= ago(query_frequency)
          | summarize by UserId, EntityName, Message, InstanceUrl)
          on
          UserId;
  current_activity
  | join kind = leftanti (historical_app_activity) on UserId, Message, EntityName, InstanceUrl
  | summarize NewActivities = make_set(strcat(Message, " ", EntityName), 1000) by UserId, InstanceUrl
  | extend
      AadUserId = extract(guid_regex, 1, tostring(split(UserId, "@")[0])),
      CloudAppId = int(32780)
  | project
      UserId,
      NewActivities,
      InstanceUrl,
      AadUserId,
      CloudAppId  
severity: Medium
status: Available
queryPeriod: 14d
name: Dataverse - New Dataverse application user activity type
tactics:
- CredentialAccess
- Execution
- PrivilegeEscalation
kind: Scheduled

ARM