Analytic rule catalog
Mass Cloud resource deletions Time Series Anomaly
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| 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%20Activity/Analytic%20Rules/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,"")
queryFrequency: 1d
entityMappings:
- fieldMappings:
- columnName: Caller
identifier: FullName
- columnName: Name
identifier: Name
- columnName: UPNSuffix
identifier: UPNSuffix
entityType: Account
- fieldMappings:
- columnName: AadUserId
identifier: AadUserId
entityType: Account
triggerThreshold: 0
triggerOperator: gt
severity: Medium
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Azure%20Activity/Analytic%20Rules/TimeSeriesAnomaly_Mass_Cloud_Resource_Deletions.yaml
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,"")
tactics:
- Impact
queryPeriod: 14d
relevantTechniques:
- T1485
requiredDataConnectors:
- connectorId: AzureActivity
dataTypes:
- AzureActivity
id: ed43bdb7-eaab-4ea4-be52-6951fcfa7e3b
kind: Scheduled
version: 2.0.4
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
name: Mass Cloud resource deletions Time Series Anomaly
tags:
- DEV-0537
{
"$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%20Activity/Analytic%20Rules/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"
}
]
}