Suspicious number of resource creation or deployment activities

let szOperationNames = dynamic(["microsoft.compute/virtualMachines/write", "microsoft.resources/deployments/write"]);
let starttime = 7d;
let endtime = 1d;
let timeframe = 1d;
let TimeSeriesData =
AzureActivity
| where TimeGenerated between (startofday(ago(starttime)) .. startofday(now()))
| where OperationNameValue in~ (szOperationNames)
| project TimeGenerated, Caller 
| make-series Total = count() on TimeGenerated from startofday(ago(starttime)) to startofday(now()) step timeframe by Caller; 
TimeSeriesData
| extend (anomalies, score, baseline) = series_decompose_anomalies(Total, 3, -1, 'linefit')
| mv-expand Total to typeof(double), TimeGenerated to typeof(datetime), anomalies to typeof(double), score to typeof(double), baseline to typeof(long) 
| where TimeGenerated >= startofday(ago(endtime))
| where anomalies > 0 and baseline > 0
| project Caller, TimeGenerated, Total, baseline, anomalies, score
| join (AzureActivity
| where TimeGenerated > startofday(ago(endtime)) 
| where OperationNameValue in~ (szOperationNames)
| summarize make_set(OperationNameValue,100), make_set(_ResourceId,100), make_set(CallerIpAddress,100) by bin(TimeGenerated, timeframe), Caller
) on TimeGenerated, Caller
| mv-expand CallerIpAddress=set_CallerIpAddress
| project-away Caller1
| extend Name = iif(Caller has '@',tostring(split(Caller,'@',0)[0]),"")
| extend UPNSuffix = iif(Caller has '@',tostring(split(Caller,'@',1)[0]),"")
| extend AadUserId = iif(Caller !has '@',Caller,"")

kind: Scheduled
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Azure Activity/Analytic Rules/Creating_Anomalous_Number_Of_Resources_detection.yaml
severity: Medium
name: Suspicious number of resource creation or deployment activities
entityMappings:
- entityType: Account
  fieldMappings:
  - columnName: Name
    identifier: Name
  - columnName: UPNSuffix
    identifier: UPNSuffix
  - columnName: AadUserId
    identifier: AadUserId
- entityType: IP
  fieldMappings:
  - columnName: CallerIpAddress
    identifier: Address
relevantTechniques:
- T1496
queryFrequency: 1d
triggerThreshold: 0
queryPeriod: 7d
description: |
    'Indicates when an anomalous number of VM creations or deployment activities occur in Azure via the AzureActivity log. This query generates the baseline pattern of cloud resource creation by an individual and generates an anomaly when any unusual spike is detected. These anomalies from unusual or privileged users could be an indication of a cloud infrastructure takedown by an adversary.'
id: 361dd1e3-1c11-491e-82a3-bb2e44ac36ba
version: 2.0.3
tactics:
- Impact
query: |
  let szOperationNames = dynamic(["microsoft.compute/virtualMachines/write", "microsoft.resources/deployments/write"]);
  let starttime = 7d;
  let endtime = 1d;
  let timeframe = 1d;
  let TimeSeriesData =
  AzureActivity
  | where TimeGenerated between (startofday(ago(starttime)) .. startofday(now()))
  | where OperationNameValue in~ (szOperationNames)
  | project TimeGenerated, Caller 
  | make-series Total = count() on TimeGenerated from startofday(ago(starttime)) to startofday(now()) step timeframe by Caller; 
  TimeSeriesData
  | extend (anomalies, score, baseline) = series_decompose_anomalies(Total, 3, -1, 'linefit')
  | mv-expand Total to typeof(double), TimeGenerated to typeof(datetime), anomalies to typeof(double), score to typeof(double), baseline to typeof(long) 
  | where TimeGenerated >= startofday(ago(endtime))
  | where anomalies > 0 and baseline > 0
  | project Caller, TimeGenerated, Total, baseline, anomalies, score
  | join (AzureActivity
  | where TimeGenerated > startofday(ago(endtime)) 
  | where OperationNameValue in~ (szOperationNames)
  | summarize make_set(OperationNameValue,100), make_set(_ResourceId,100), make_set(CallerIpAddress,100) by bin(TimeGenerated, timeframe), Caller
  ) on TimeGenerated, Caller
  | mv-expand CallerIpAddress=set_CallerIpAddress
  | project-away Caller1
  | extend Name = iif(Caller has '@',tostring(split(Caller,'@',0)[0]),"")
  | extend UPNSuffix = iif(Caller has '@',tostring(split(Caller,'@',1)[0]),"")
  | extend AadUserId = iif(Caller !has '@',Caller,"")  
status: Available
requiredDataConnectors:
- dataTypes:
  - AzureActivity
  connectorId: AzureActivity
triggerOperator: gt

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "parameters": {
    "workspace": {
      "type": "String"
    }
  },
  "resources": [
    {
      "id": "[concat(resourceId('Microsoft.OperationalInsights/workspaces/providers', parameters('workspace'), 'Microsoft.SecurityInsights'),'/alertRules/361dd1e3-1c11-491e-82a3-bb2e44ac36ba')]",
      "name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/361dd1e3-1c11-491e-82a3-bb2e44ac36ba')]",
      "type": "Microsoft.OperationalInsights/workspaces/providers/alertRules",
      "kind": "Scheduled",
      "apiVersion": "2022-11-01-preview",
      "properties": {
        "displayName": "Suspicious number of resource creation or deployment activities",
        "description": "'Indicates when an anomalous number of VM creations or deployment activities occur in Azure via the AzureActivity log. This query generates the baseline pattern of cloud resource creation by an individual and generates an anomaly when any unusual spike is detected. These anomalies from unusual or privileged users could be an indication of a cloud infrastructure takedown by an adversary.'\n",
        "severity": "Medium",
        "enabled": true,
        "query": "let szOperationNames = dynamic([\"microsoft.compute/virtualMachines/write\", \"microsoft.resources/deployments/write\"]);\nlet starttime = 7d;\nlet endtime = 1d;\nlet timeframe = 1d;\nlet TimeSeriesData =\nAzureActivity\n| where TimeGenerated between (startofday(ago(starttime)) .. startofday(now()))\n| where OperationNameValue in~ (szOperationNames)\n| project TimeGenerated, Caller \n| make-series Total = count() on TimeGenerated from startofday(ago(starttime)) to startofday(now()) step timeframe by Caller; \nTimeSeriesData\n| extend (anomalies, score, baseline) = series_decompose_anomalies(Total, 3, -1, 'linefit')\n| mv-expand Total to typeof(double), TimeGenerated to typeof(datetime), anomalies to typeof(double), score to typeof(double), baseline to typeof(long) \n| where TimeGenerated >= startofday(ago(endtime))\n| where anomalies > 0 and baseline > 0\n| project Caller, TimeGenerated, Total, baseline, anomalies, score\n| join (AzureActivity\n| where TimeGenerated > startofday(ago(endtime)) \n| where OperationNameValue in~ (szOperationNames)\n| summarize make_set(OperationNameValue,100), make_set(_ResourceId,100), make_set(CallerIpAddress,100) by bin(TimeGenerated, timeframe), Caller\n) on TimeGenerated, Caller\n| mv-expand CallerIpAddress=set_CallerIpAddress\n| project-away Caller1\n| extend Name = iif(Caller has '@',tostring(split(Caller,'@',0)[0]),\"\")\n| extend UPNSuffix = iif(Caller has '@',tostring(split(Caller,'@',1)[0]),\"\")\n| extend AadUserId = iif(Caller !has '@',Caller,\"\")\n",
        "queryFrequency": "P1D",
        "queryPeriod": "P7D",
        "triggerOperator": "GreaterThan",
        "triggerThreshold": 0,
        "suppressionDuration": "PT1H",
        "suppressionEnabled": false,
        "tactics": [
          "Impact"
        ],
        "techniques": [
          "T1496"
        ],
        "alertRuleTemplateName": "361dd1e3-1c11-491e-82a3-bb2e44ac36ba",
        "customDetails": null,
        "entityMappings": [
          {
            "entityType": "Account",
            "fieldMappings": [
              {
                "identifier": "Name",
                "columnName": "Name"
              },
              {
                "identifier": "UPNSuffix",
                "columnName": "UPNSuffix"
              },
              {
                "identifier": "AadUserId",
                "columnName": "AadUserId"
              }
            ]
          },
          {
            "entityType": "IP",
            "fieldMappings": [
              {
                "identifier": "Address",
                "columnName": "CallerIpAddress"
              }
            ]
          }
        ],
        "OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Azure Activity/Analytic Rules/Creating_Anomalous_Number_Of_Resources_detection.yaml",
        "status": "Available",
        "templateVersion": "2.0.3"
      }
    }
  ]
}