Mass Cloud resource deletions Time Series Anomaly

Back


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

KQL

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,"")

YAML

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

ARM