Detection rules › Kusto

Threat Essentials - Mass Cloud resource deletions Time Series Anomaly

Status
available
Severity
medium
Time window
14d
Group by
Caller, TimeGenerated
Source
github.com/Azure/Azure-Sentinel

'This query generates baseline pattern of cloud resource deletions by an user and generated anomaly when any unusual spike is detected. These anomalies from unusual or privileged users could be an indication of cloud infrastructure take-down by an adversary '

MITRE ATT&CK coverage

TacticTechniques
Impact

Rule body

id: fa2658fe-3714-4c55-bb12-2b7275c628e8
name: Threat Essentials - Mass Cloud resource deletions Time Series Anomaly
description: |
  'This query generates baseline pattern of cloud resource deletions by an user and generated anomaly when any unusual spike is detected.
  These anomalies from unusual or privileged users could be an indication of cloud infrastructure take-down by an adversary '
severity: Medium
status: Available
requiredDataConnectors:
  - connectorId: AzureActivity
    dataTypes:
      - AzureActivity
queryFrequency: 1d
queryPeriod: 14d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - Impact
relevantTechniques:
  - T1485
tags:
  - DEV-0537
query: |
  let starttime = 14d;
  let endtime = 1d;
  let timeframe = 1h;
  let TotalEventsThreshold = 25; 
  let TimeSeriesData = 
  AzureActivity 
  | where TimeGenerated between (startofday(ago(starttime))..startofday(ago(endtime)))
  | where OperationNameValue endswith "delete" 
  | project TimeGenerated, Caller 
  | make-series Total = count() on TimeGenerated from startofday(ago(starttime)) to startofday(ago(endtime)) step timeframe by Caller; 
  let TimeSeriesAlerts = materialize(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 anomalies > 0 
  | project Caller, TimeGenerated, Total, baseline, anomalies, score 
  | where Total > TotalEventsThreshold and baseline > 0 ); 
  TimeSeriesAlerts 
  | where TimeGenerated > (ago(endtime)) 
  | project TimeGenerated, Caller 
  | join kind = inner (AzureActivity 
  | where TimeGenerated > (ago(endtime)) 
  | where OperationNameValue endswith "delete" 
  | summarize count(), make_set(OperationNameValue), make_set(Resource) by bin(TimeGenerated, 1h), 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,"")
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: Name
        columnName: Name
      - identifier: UPNSuffix
        columnName: UPNSuffix
      - identifier: AadUserId
        columnName: AadUserId
version: 1.0.2
kind: Scheduled

Stages and Predicates

Parameters

let starttime = 14d;
let endtime = 1d;
let timeframe = 1h;
let TotalEventsThreshold = 25;

let TimeSeriesData and let TimeSeriesAlerts are inlined into the numbered stages below.

Stages 1 to 10 define let TimeSeriesAlerts (the rule's main pipeline source); stages 11 to 14 run on it.

Stage 1: source

AzureActivity

Stage 2: where

| where TimeGenerated between (startofday(ago(starttime))..startofday(ago(endtime)))

Stage 3: where

| where OperationNameValue endswith "delete"

Stage 4: project

| project TimeGenerated, Caller

The stages below score time-series anomalies (make-series, series_decompose_anomalies).

Stage 5: make-series

| make-series Total = count() on TimeGenerated from startofday(ago(starttime)) to startofday(ago(endtime)) step timeframe by Caller

Stage 6: extend

| extend (anomalies, score, baseline) = series_decompose_anomalies(Total, 3, -1, 'linefit')

Stage 7: mv-expand

| mv-expand Total to typeof(double), TimeGenerated to typeof(datetime), anomalies to typeof(double), score to typeof(double), baseline to typeof(long)

Stage 8: where

| where anomalies > 0

Stage 9: project

| project Caller, TimeGenerated, Total, baseline, anomalies, score

Stage 10: where

| where Total > TotalEventsThreshold and baseline > 0

Stage 11: where

TimeSeriesAlerts
| where TimeGenerated > (ago(endtime))

Stage 12: project

| project TimeGenerated, Caller

Stage 13: join

| join kind = inner (AzureActivity 
| where TimeGenerated > (ago(endtime)) 
| where OperationNameValue endswith "delete" 
| summarize count(), make_set(OperationNameValue), make_set(Resource) by bin(TimeGenerated, 1h), Caller) on TimeGenerated, Caller

Stage 14: extend (3 consecutive steps)

| 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,"")

Indicators

These rows show field, operator, and value matches.

Output fields

These fields are emitted when the rule matches.

FieldSource
Callerproject
TimeGeneratedproject
Nameextend
UPNSuffixextend
AadUserIdextend