Mass Cloud resource deletions Time Series Anomaly
Id | ed43bdb7-eaab-4ea4-be52-6951fcfa7e3b |
Rulename | Mass Cloud resource deletions Time Series Anomaly |
Description | This query generates the baseline pattern of cloud resource deletions 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. |
Severity | Medium |
Tactics | Impact |
Techniques | T1485 |
Required data connectors | AzureActivity |
Kind | Scheduled |
Query frequency | 1d |
Query period | 14d |
Trigger threshold | 0 |
Trigger operator | gt |
Source Uri | https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Azure Activity/Analytic Rules/TimeSeriesAnomaly_Mass_Cloud_Resource_Deletions.yaml |
Version | 2.0.4 |
Arm template | ed43bdb7-eaab-4ea4-be52-6951fcfa7e3b.json |
let starttime = 14d;
let endtime = 1d;
let timeframe = 1d;
let TotalEventsThreshold = 25;
let TimeSeriesData = AzureActivity
| where TimeGenerated between (startofday(ago(starttime))..startofday(now()))
| where OperationNameValue endswith "delete"
| 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
| project Caller, TimeGenerated, Total, baseline, anomalies, score
| where Total > TotalEventsThreshold and baseline > 0
| join (AzureActivity
| where TimeGenerated > startofday(ago(endtime))
| where OperationNameValue endswith "delete"
| summarize count(), make_set(OperationNameValue,100), make_set(_ResourceId,100) by bin(TimeGenerated, timeframe), Caller ) on TimeGenerated, Caller
| 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,"")
id: ed43bdb7-eaab-4ea4-be52-6951fcfa7e3b
tactics:
- Impact
queryPeriod: 14d
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Azure Activity/Analytic Rules/TimeSeriesAnomaly_Mass_Cloud_Resource_Deletions.yaml
triggerThreshold: 0
name: Mass Cloud resource deletions Time Series Anomaly
query: |
let starttime = 14d;
let endtime = 1d;
let timeframe = 1d;
let TotalEventsThreshold = 25;
let TimeSeriesData = AzureActivity
| where TimeGenerated between (startofday(ago(starttime))..startofday(now()))
| where OperationNameValue endswith "delete"
| 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
| project Caller, TimeGenerated, Total, baseline, anomalies, score
| where Total > TotalEventsThreshold and baseline > 0
| join (AzureActivity
| where TimeGenerated > startofday(ago(endtime))
| where OperationNameValue endswith "delete"
| summarize count(), make_set(OperationNameValue,100), make_set(_ResourceId,100) by bin(TimeGenerated, timeframe), Caller ) on TimeGenerated, Caller
| 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,"")
severity: Medium
triggerOperator: gt
kind: Scheduled
relevantTechniques:
- T1485
tags:
- DEV-0537
queryFrequency: 1d
requiredDataConnectors:
- connectorId: AzureActivity
dataTypes:
- AzureActivity
description: |
'This query generates the baseline pattern of cloud resource deletions 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.'
status: Available
version: 2.0.4
entityMappings:
- fieldMappings:
- columnName: Caller
identifier: FullName
- columnName: Name
identifier: Name
- columnName: UPNSuffix
identifier: UPNSuffix
entityType: Account
- fieldMappings:
- columnName: AadUserId
identifier: AadUserId
entityType: Account
{
"$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/ed43bdb7-eaab-4ea4-be52-6951fcfa7e3b')]",
"kind": "Scheduled",
"name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/ed43bdb7-eaab-4ea4-be52-6951fcfa7e3b')]",
"properties": {
"alertRuleTemplateName": "ed43bdb7-eaab-4ea4-be52-6951fcfa7e3b",
"customDetails": null,
"description": "'This query generates the baseline pattern of cloud resource deletions 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",
"displayName": "Mass Cloud resource deletions Time Series Anomaly",
"enabled": true,
"entityMappings": [
{
"entityType": "Account",
"fieldMappings": [
{
"columnName": "Caller",
"identifier": "FullName"
},
{
"columnName": "Name",
"identifier": "Name"
},
{
"columnName": "UPNSuffix",
"identifier": "UPNSuffix"
}
]
},
{
"entityType": "Account",
"fieldMappings": [
{
"columnName": "AadUserId",
"identifier": "AadUserId"
}
]
}
],
"OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Azure Activity/Analytic Rules/TimeSeriesAnomaly_Mass_Cloud_Resource_Deletions.yaml",
"query": "let starttime = 14d;\nlet endtime = 1d;\nlet timeframe = 1d;\nlet TotalEventsThreshold = 25;\nlet TimeSeriesData = AzureActivity \n| where TimeGenerated between (startofday(ago(starttime))..startofday(now())) \n| where OperationNameValue endswith \"delete\" \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 \n| project Caller, TimeGenerated, Total, baseline, anomalies, score \n| where Total > TotalEventsThreshold and baseline > 0 \n| join (AzureActivity \n| where TimeGenerated > startofday(ago(endtime)) \n| where OperationNameValue endswith \"delete\" \n| summarize count(), make_set(OperationNameValue,100), make_set(_ResourceId,100) by bin(TimeGenerated, timeframe), Caller ) on TimeGenerated, Caller \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": "P14D",
"severity": "Medium",
"status": "Available",
"subTechniques": [],
"suppressionDuration": "PT1H",
"suppressionEnabled": false,
"tactics": [
"Impact"
],
"tags": [
"DEV-0537"
],
"techniques": [
"T1485"
],
"templateVersion": "2.0.4",
"triggerOperator": "GreaterThan",
"triggerThreshold": 0
},
"type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
}
]
}