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

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])  
kind: Scheduled
triggerThreshold: 0
entityMappings:
- fieldMappings:
  - columnName: CreatingUser
    identifier: FullName
  - columnName: CreatingUserAccountName
    identifier: Name
  - columnName: CreatingUserAccountUPNSuffix
    identifier: UPNSuffix
  entityType: Account
- fieldMappings:
  - columnName: DeletingUser
    identifier: FullName
  - columnName: DeletingUserAccountName
    identifier: Name
  - columnName: DeletingUserAccountUPNSuffix
    identifier: UPNSuffix
  entityType: Account
- fieldMappings:
  - columnName: CreatingIP
    identifier: Address
  entityType: IP
- fieldMappings:
  - columnName: DeletingIP
    identifier: Address
  entityType: IP
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.'  
version: 1.0.4
id: 17f23fbe-bb73-4324-8ecf-a18545a5dc26
relevantTechniques:
- T1072
queryPeriod: 3d
queryFrequency: 3d
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/AzureDevOpsAuditing/Analytic Rules/AzDOPipelineCreatedDeletedOneDay.yaml
tactics:
- Execution
severity: Medium
status: Available
requiredDataConnectors: []
name: Azure DevOps Pipeline Created and Deleted on the Same Day
triggerOperator: gt

ARM