Azure DevOps Pipeline Created and Deleted on the Same Day

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Id	17f23fbe-bb73-4324-8ecf-a18545a5dc26
Rulename	Azure DevOps Pipeline Created and Deleted on the Same Day
Description	An attacker with access to Azure DevOps could create a pipeline to inject artifacts used by other pipelines, or to create a malicious software build that looks legitimate by using a pipeline that incorporates legitimate elements. An attacker would also likely want to cover their tracks once conducting such activity. This query looks for Pipelines created and deleted within the same day, this is unlikely to be legitimate user activity in the majority of cases.
Severity	Medium
Tactics	Execution
Techniques	T1072
Kind	Scheduled
Query frequency	3d
Query period	3d
Trigger threshold	0
Trigger operator	gt
Source Uri	https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/AzureDevOpsAuditing/Analytic Rules/AzDOPipelineCreatedDeletedOneDay.yaml
Version	1.0.4
Arm template	17f23fbe-bb73-4324-8ecf-a18545a5dc26.json

KQL

let timeframe = 3d;
// Get Release Pipeline Creation Events and group by day
ADOAuditLogs
| where TimeGenerated > ago(timeframe)
| where OperationName =~ "Release.ReleasePipelineCreated"
// Group by day
| extend timekey = bin(TimeGenerated, 1d)
| extend PipelineId = tostring(Data.PipelineId)
| extend PipelineName = tostring(Data.PipelineName)
// Rename some columns to make output clearer
| project-rename TimeCreated = TimeGenerated, CreatingUser = ActorUPN, CreatingUserAgent = UserAgent, CreatingIP = IpAddress
// Join with Release Pipeline Deletions where Pipeline ID is the same and deletion occurred on same day as creation
| join (ADOAuditLogs
| where TimeGenerated > ago(timeframe)
| where OperationName =~ "Release.ReleasePipelineDeleted"
// Group by day
| extend timekey = bin(TimeGenerated, 1d)
| extend PipelineId = tostring(Data.PipelineId)
| extend PipelineName = tostring(Data.PipelineName)
// Rename some things to make the output clearer
| project-rename TimeDeleted = TimeGenerated,DeletingUser = ActorUPN, DeletingUserAgent = UserAgent, DeletingIP = IpAddress) on PipelineId, timekey
| project TimeCreated, TimeDeleted, PipelineName, PipelineId, CreatingUser, CreatingIP, CreatingUserAgent, DeletingUser, DeletingIP, DeletingUserAgent, ScopeDisplayName, ProjectName, Data, OperationName, OperationName1
| extend timestamp = TimeCreated
| extend CreatingUserAccountName = tostring(split(CreatingUser, "@")[0]), CreatingUserAccountUPNSuffix = tostring(split(CreatingUser, "@")[1])
| extend DeletingUserAccountName = tostring(split(DeletingUser, "@")[0]), DeletingUserAccountUPNSuffix = tostring(split(DeletingUser, "@")[1])

YAML

triggerThreshold: 0
entityMappings:
- entityType: Account
  fieldMappings:
  - identifier: FullName
    columnName: CreatingUser
  - identifier: Name
    columnName: CreatingUserAccountName
  - identifier: UPNSuffix
    columnName: CreatingUserAccountUPNSuffix
- entityType: Account
  fieldMappings:
  - identifier: FullName
    columnName: DeletingUser
  - identifier: Name
    columnName: DeletingUserAccountName
  - identifier: UPNSuffix
    columnName: DeletingUserAccountUPNSuffix
- entityType: IP
  fieldMappings:
  - identifier: Address
    columnName: CreatingIP
- entityType: IP
  fieldMappings:
  - identifier: Address
    columnName: DeletingIP
requiredDataConnectors: []
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/AzureDevOpsAuditing/Analytic Rules/AzDOPipelineCreatedDeletedOneDay.yaml
name: Azure DevOps Pipeline Created and Deleted on the Same Day
relevantTechniques:
- T1072
status: Available
version: 1.0.4
queryPeriod: 3d
kind: Scheduled
id: 17f23fbe-bb73-4324-8ecf-a18545a5dc26
query: |
  let timeframe = 3d;
  // Get Release Pipeline Creation Events and group by day
  ADOAuditLogs
  | where TimeGenerated > ago(timeframe)
  | where OperationName =~ "Release.ReleasePipelineCreated"
  // Group by day
  | extend timekey = bin(TimeGenerated, 1d)
  | extend PipelineId = tostring(Data.PipelineId)
  | extend PipelineName = tostring(Data.PipelineName)
  // Rename some columns to make output clearer
  | project-rename TimeCreated = TimeGenerated, CreatingUser = ActorUPN, CreatingUserAgent = UserAgent, CreatingIP = IpAddress
  // Join with Release Pipeline Deletions where Pipeline ID is the same and deletion occurred on same day as creation
  | join (ADOAuditLogs
  | where TimeGenerated > ago(timeframe)
  | where OperationName =~ "Release.ReleasePipelineDeleted"
  // Group by day
  | extend timekey = bin(TimeGenerated, 1d)
  | extend PipelineId = tostring(Data.PipelineId)
  | extend PipelineName = tostring(Data.PipelineName)
  // Rename some things to make the output clearer
  | project-rename TimeDeleted = TimeGenerated,DeletingUser = ActorUPN, DeletingUserAgent = UserAgent, DeletingIP = IpAddress) on PipelineId, timekey
  | project TimeCreated, TimeDeleted, PipelineName, PipelineId, CreatingUser, CreatingIP, CreatingUserAgent, DeletingUser, DeletingIP, DeletingUserAgent, ScopeDisplayName, ProjectName, Data, OperationName, OperationName1
  | extend timestamp = TimeCreated
  | extend CreatingUserAccountName = tostring(split(CreatingUser, "@")[0]), CreatingUserAccountUPNSuffix = tostring(split(CreatingUser, "@")[1])
  | extend DeletingUserAccountName = tostring(split(DeletingUser, "@")[0]), DeletingUserAccountUPNSuffix = tostring(split(DeletingUser, "@")[1])  
description: |
  'An attacker with access to Azure DevOps could create a pipeline to inject artifacts used by other pipelines, or to create a malicious software build that looks legitimate by using a pipeline that incorporates legitimate elements. 
  An attacker would also likely want to cover their tracks once conducting such activity. This query looks for Pipelines created and deleted within the same day, this is unlikely to be legitimate user activity in the majority of cases.'  
queryFrequency: 3d
severity: Medium
triggerOperator: gt
tactics:
- Execution

ARM