Azure DevOps Pipeline Created and Deleted on the Same Day
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 |
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])
triggerThreshold: 0
entityMappings:
- entityType: Account
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: IP
fieldMappings:
- columnName: CreatingIP
identifier: Address
- entityType: IP
fieldMappings:
- columnName: DeletingIP
identifier: Address
kind: Scheduled
requiredDataConnectors: []
queryPeriod: 3d
id: 17f23fbe-bb73-4324-8ecf-a18545a5dc26
relevantTechniques:
- T1072
triggerOperator: gt
name: 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.'
status: Available
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])
version: 1.0.4
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/AzureDevOpsAuditing/Analytic Rules/AzDOPipelineCreatedDeletedOneDay.yaml
severity: Medium
queryFrequency: 3d
tactics:
- Execution
{
"$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/17f23fbe-bb73-4324-8ecf-a18545a5dc26')]",
"kind": "Scheduled",
"name": "[concat(parameters('workspace'),'/Microsoft.SecurityInsights/17f23fbe-bb73-4324-8ecf-a18545a5dc26')]",
"properties": {
"alertRuleTemplateName": "17f23fbe-bb73-4324-8ecf-a18545a5dc26",
"customDetails": null,
"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. \nAn 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.'\n",
"displayName": "Azure DevOps Pipeline Created and Deleted on the Same Day",
"enabled": true,
"entityMappings": [
{
"entityType": "Account",
"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": "IP",
"fieldMappings": [
{
"columnName": "CreatingIP",
"identifier": "Address"
}
]
},
{
"entityType": "IP",
"fieldMappings": [
{
"columnName": "DeletingIP",
"identifier": "Address"
}
]
}
],
"OriginalUri": "https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/AzureDevOpsAuditing/Analytic Rules/AzDOPipelineCreatedDeletedOneDay.yaml",
"query": "let timeframe = 3d;\n// Get Release Pipeline Creation Events and group by day\nADOAuditLogs\n| where TimeGenerated > ago(timeframe)\n| where OperationName =~ \"Release.ReleasePipelineCreated\"\n// Group by day\n| extend timekey = bin(TimeGenerated, 1d)\n| extend PipelineId = tostring(Data.PipelineId)\n| extend PipelineName = tostring(Data.PipelineName)\n// Rename some columns to make output clearer\n| project-rename TimeCreated = TimeGenerated, CreatingUser = ActorUPN, CreatingUserAgent = UserAgent, CreatingIP = IpAddress\n// Join with Release Pipeline Deletions where Pipeline ID is the same and deletion occurred on same day as creation\n| join (ADOAuditLogs\n| where TimeGenerated > ago(timeframe)\n| where OperationName =~ \"Release.ReleasePipelineDeleted\"\n// Group by day\n| extend timekey = bin(TimeGenerated, 1d)\n| extend PipelineId = tostring(Data.PipelineId)\n| extend PipelineName = tostring(Data.PipelineName)\n// Rename some things to make the output clearer\n| project-rename TimeDeleted = TimeGenerated,DeletingUser = ActorUPN, DeletingUserAgent = UserAgent, DeletingIP = IpAddress) on PipelineId, timekey\n| project TimeCreated, TimeDeleted, PipelineName, PipelineId, CreatingUser, CreatingIP, CreatingUserAgent, DeletingUser, DeletingIP, DeletingUserAgent, ScopeDisplayName, ProjectName, Data, OperationName, OperationName1\n| extend timestamp = TimeCreated\n| extend CreatingUserAccountName = tostring(split(CreatingUser, \"@\")[0]), CreatingUserAccountUPNSuffix = tostring(split(CreatingUser, \"@\")[1])\n| extend DeletingUserAccountName = tostring(split(DeletingUser, \"@\")[0]), DeletingUserAccountUPNSuffix = tostring(split(DeletingUser, \"@\")[1])\n",
"queryFrequency": "P3D",
"queryPeriod": "P3D",
"severity": "Medium",
"status": "Available",
"subTechniques": [],
"suppressionDuration": "PT1H",
"suppressionEnabled": false,
"tactics": [
"Execution"
],
"techniques": [
"T1072"
],
"templateVersion": "1.0.4",
"triggerOperator": "GreaterThan",
"triggerThreshold": 0
},
"type": "Microsoft.OperationalInsights/workspaces/providers/alertRules"
}
]
}