Microsoft Sentinel Analytic Rules
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Dataverse - Mass export of records to Excel

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Id57000f0d-ff5d-4166-94b6-aa5fb62b16ec
RulenameDataverse - Mass export of records to Excel
DescriptionIdentifies users exporting a large amount of records from Dynamics 365 to Excel, significantly more records exported than any other recent activity by that user. Large exports from users with no recent activity are identified using a predefined threshold.
SeverityLow
TacticsExfiltration
TechniquesT1567
Required data connectorsDataverse
KindScheduled
Query frequency1h
Query period14d
Trigger threshold0
Trigger operatorgt
Source Urihttps://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft Business Applications/Analytic Rules/Dataverse - Mass export of records to Excel.yaml
Version3.2.0
Arm template57000f0d-ff5d-4166-94b6-aa5fb62b16ec.json
Deploy To Azure
// Set a mass export threshold for users who have no historical activity.
let mass_export_threshold = 10000;
let query_lookback = 14d;
let query_frequency = 1h;
let export_activity = DataverseActivity
    | where Message == "ExportToExcel"
    | extend QueryCount = iif(QueryResults has ",", todouble(countof(tostring(QueryResults), ',') + 1), double(1));
let current_activity = export_activity
    | where TimeGenerated > ago(query_frequency)
    | extend RecordId = split(QueryResults, ",")
    | summarize
        FirstEvent = min(TimeGenerated),
        CurrentExportRate = sum(QueryCount),
        SampleRecordIds = make_set(RecordId, 1000)
        by UserId, InstanceUrl;
let historical_activity = export_activity
    | where TimeGenerated between(ago(query_lookback) .. ago(query_frequency))
    | summarize HistoricalBaseline = sum(QueryCount) by HistoricalUserId = UserId, InstanceUrl;
current_activity
| join kind=leftouter(historical_activity) on $left.UserId == $right.HistoricalUserId, InstanceUrl
| extend BaselineThreshold = iif(isnotnull(HistoricalBaseline), HistoricalBaseline, todouble(mass_export_threshold))
| where CurrentExportRate > BaselineThreshold
| join kind=inner(export_activity
    | where TimeGenerated > ago(query_frequency)
    | summarize EntityCount = sum(QueryCount) by UserId, ClientIp, InstanceUrl, EntityName
    | extend Details = bag_pack("EntityName", EntityName, "EntityCount", EntityCount)
    | summarize Details = make_set(Details, 100) by UserId, ClientIp, InstanceUrl)
    on UserId, InstanceUrl
| extend
    CloudAppId = int(32780),
    AccountName = tostring(split(UserId, '@')[0]),
    UPNSuffix = tostring(split(UserId, '@')[1])
| project
    FirstEvent,
    UserId,
    ClientIp,
    BaselineThreshold,
    CurrentExportRate,
    Details,
    SampleRecordIds,
    InstanceUrl,
    AccountName,
    UPNSuffix,
    CloudAppId

requiredDataConnectors:
- connectorId: Dataverse
  dataTypes:
  - DataverseActivity
query: |
  // Set a mass export threshold for users who have no historical activity.
  let mass_export_threshold = 10000;
  let query_lookback = 14d;
  let query_frequency = 1h;
  let export_activity = DataverseActivity
      | where Message == "ExportToExcel"
      | extend QueryCount = iif(QueryResults has ",", todouble(countof(tostring(QueryResults), ',') + 1), double(1));
  let current_activity = export_activity
      | where TimeGenerated > ago(query_frequency)
      | extend RecordId = split(QueryResults, ",")
      | summarize
          FirstEvent = min(TimeGenerated),
          CurrentExportRate = sum(QueryCount),
          SampleRecordIds = make_set(RecordId, 1000)
          by UserId, InstanceUrl;
  let historical_activity = export_activity
      | where TimeGenerated between(ago(query_lookback) .. ago(query_frequency))
      | summarize HistoricalBaseline = sum(QueryCount) by HistoricalUserId = UserId, InstanceUrl;
  current_activity
  | join kind=leftouter(historical_activity) on $left.UserId == $right.HistoricalUserId, InstanceUrl
  | extend BaselineThreshold = iif(isnotnull(HistoricalBaseline), HistoricalBaseline, todouble(mass_export_threshold))
  | where CurrentExportRate > BaselineThreshold
  | join kind=inner(export_activity
      | where TimeGenerated > ago(query_frequency)
      | summarize EntityCount = sum(QueryCount) by UserId, ClientIp, InstanceUrl, EntityName
      | extend Details = bag_pack("EntityName", EntityName, "EntityCount", EntityCount)
      | summarize Details = make_set(Details, 100) by UserId, ClientIp, InstanceUrl)
      on UserId, InstanceUrl
  | extend
      CloudAppId = int(32780),
      AccountName = tostring(split(UserId, '@')[0]),
      UPNSuffix = tostring(split(UserId, '@')[1])
  | project
      FirstEvent,
      UserId,
      ClientIp,
      BaselineThreshold,
      CurrentExportRate,
      Details,
      SampleRecordIds,
      InstanceUrl,
      AccountName,
      UPNSuffix,
      CloudAppId  
version: 3.2.0
triggerOperator: gt
queryPeriod: 14d
triggerThreshold: 0
kind: Scheduled
status: Available
relevantTechniques:
- T1567
name: Dataverse - Mass export of records to Excel
description: Identifies users exporting a large amount of records from Dynamics 365 to Excel, significantly more records exported than any other recent activity by that user. Large exports from users with no recent activity are identified using a predefined threshold.
severity: Low
tactics:
- Exfiltration
alertDetailsOverride:
  alertDisplayNameFormat: 'Dataverse - mass export to Excel activity in {{{InstanceUrl}} '
  alertDescriptionFormat: User {{UserId}} exported {{{CurrentExportRate}} records using the ExportToExcel function in Dataverse.
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft Business Applications/Analytic Rules/Dataverse - Mass export of records to Excel.yaml
entityMappings:
- entityType: Account
  fieldMappings:
  - columnName: AccountName
    identifier: Name
  - columnName: UPNSuffix
    identifier: UPNSuffix
- entityType: CloudApplication
  fieldMappings:
  - columnName: CloudAppId
    identifier: AppId
  - columnName: InstanceUrl
    identifier: InstanceName
- entityType: IP
  fieldMappings:
  - columnName: ClientIp
    identifier: Address
queryFrequency: 1h
eventGroupingSettings:
  aggregationKind: AlertPerResult
id: 57000f0d-ff5d-4166-94b6-aa5fb62b16ec

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "parameters": {
    "workspace": {
      "type": "String"
    }
  },
  "resources": [
    {
      "apiVersion": "2024-01-01-preview",
      "id": "[concat(resourceId('Microsoft.OperationalInsights/workspaces/providers', parameters('workspace'), 'Microsoft.SecurityInsights'),'/alertRules/57000f0d-ff5d-4166-94b6-aa5fb62b16ec')]",
      "kind": "Scheduled",
      "name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/57000f0d-ff5d-4166-94b6-aa5fb62b16ec')]",
      "properties": {
        "alertDetailsOverride": {
          "alertDescriptionFormat": "User {{UserId}} exported {{{CurrentExportRate}} records using the ExportToExcel function in Dataverse.",
          "alertDisplayNameFormat": "Dataverse - mass export to Excel activity in {{{InstanceUrl}} "
        },
        "alertRuleTemplateName": "57000f0d-ff5d-4166-94b6-aa5fb62b16ec",
        "customDetails": null,
        "description": "Identifies users exporting a large amount of records from Dynamics 365 to Excel, significantly more records exported than any other recent activity by that user. Large exports from users with no recent activity are identified using a predefined threshold.",
        "displayName": "Dataverse - Mass export of records to Excel",
        "enabled": true,
        "entityMappings": [
          {
            "entityType": "Account",
            "fieldMappings": [
              {
                "columnName": "AccountName",
                "identifier": "Name"
              },
              {
                "columnName": "UPNSuffix",
                "identifier": "UPNSuffix"
              }
            ]
          },
          {
            "entityType": "CloudApplication",
            "fieldMappings": [
              {
                "columnName": "CloudAppId",
                "identifier": "AppId"
              },
              {
                "columnName": "InstanceUrl",
                "identifier": "InstanceName"
              }
            ]
          },
          {
            "entityType": "IP",
            "fieldMappings": [
              {
                "columnName": "ClientIp",
                "identifier": "Address"
              }
            ]
          }
        ],
        "eventGroupingSettings": {
          "aggregationKind": "AlertPerResult"
        },
        "OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Microsoft Business Applications/Analytic Rules/Dataverse - Mass export of records to Excel.yaml",
        "query": "// Set a mass export threshold for users who have no historical activity.\nlet mass_export_threshold = 10000;\nlet query_lookback = 14d;\nlet query_frequency = 1h;\nlet export_activity = DataverseActivity\n    | where Message == \"ExportToExcel\"\n    | extend QueryCount = iif(QueryResults has \",\", todouble(countof(tostring(QueryResults), ',') + 1), double(1));\nlet current_activity = export_activity\n    | where TimeGenerated > ago(query_frequency)\n    | extend RecordId = split(QueryResults, \",\")\n    | summarize\n        FirstEvent = min(TimeGenerated),\n        CurrentExportRate = sum(QueryCount),\n        SampleRecordIds = make_set(RecordId, 1000)\n        by UserId, InstanceUrl;\nlet historical_activity = export_activity\n    | where TimeGenerated between(ago(query_lookback) .. ago(query_frequency))\n    | summarize HistoricalBaseline = sum(QueryCount) by HistoricalUserId = UserId, InstanceUrl;\ncurrent_activity\n| join kind=leftouter(historical_activity) on $left.UserId == $right.HistoricalUserId, InstanceUrl\n| extend BaselineThreshold = iif(isnotnull(HistoricalBaseline), HistoricalBaseline, todouble(mass_export_threshold))\n| where CurrentExportRate > BaselineThreshold\n| join kind=inner(export_activity\n    | where TimeGenerated > ago(query_frequency)\n    | summarize EntityCount = sum(QueryCount) by UserId, ClientIp, InstanceUrl, EntityName\n    | extend Details = bag_pack(\"EntityName\", EntityName, \"EntityCount\", EntityCount)\n    | summarize Details = make_set(Details, 100) by UserId, ClientIp, InstanceUrl)\n    on UserId, InstanceUrl\n| extend\n    CloudAppId = int(32780),\n    AccountName = tostring(split(UserId, '@')[0]),\n    UPNSuffix = tostring(split(UserId, '@')[1])\n| project\n    FirstEvent,\n    UserId,\n    ClientIp,\n    BaselineThreshold,\n    CurrentExportRate,\n    Details,\n    SampleRecordIds,\n    InstanceUrl,\n    AccountName,\n    UPNSuffix,\n    CloudAppId\n",
        "queryFrequency": "PT1H",
        "queryPeriod": "P14D",
        "severity": "Low",
        "status": "Available",
        "subTechniques": [],
        "suppressionDuration": "PT1H",
        "suppressionEnabled": false,
        "tactics": [
          "Exfiltration"
        ],
        "techniques": [
          "T1567"
        ],
        "templateVersion": "3.2.0",
        "triggerOperator": "GreaterThan",
        "triggerThreshold": 0
      },
      "type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
    }
  ]
}