Detection rules › Splunk
Azure Automation Runbook Created
The following analytic detects the creation of a new Azure Automation Runbook within an Azure tenant. It leverages Azure Audit events, specifically the Azure Activity log category, to identify when a new Runbook is created or updated. This activity is significant because adversaries with privileged access can use Runbooks to maintain persistence, escalate privileges, or execute malicious code. If confirmed malicious, this could lead to unauthorized actions such as creating Global Administrators, executing code on VMs, and compromising the entire Azure environment.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Persistence | T1136.003 Create Account: Cloud Account |
Rule body splunk
name: Azure Automation Runbook Created
id: 178d696d-6dc6-4ee8-9d25-93fee34eaf5b
version: 14
creation_date: '2022-08-22'
modification_date: '2026-05-13'
author: Mauricio Velazco, Brian Serocki, Splunk
status: production
type: TTP
description: The following analytic detects the creation of a new Azure Automation Runbook within an Azure tenant. It leverages Azure Audit events, specifically the Azure Activity log category, to identify when a new Runbook is created or updated. This activity is significant because adversaries with privileged access can use Runbooks to maintain persistence, escalate privileges, or execute malicious code. If confirmed malicious, this could lead to unauthorized actions such as creating Global Administrators, executing code on VMs, and compromising the entire Azure environment.
data_source:
- Azure Audit Create or Update an Azure Automation Runbook
search: |-
`azure_audit` operationName.value="Microsoft.Automation/automationAccounts/runbooks/write" object!=AzureAutomationTutorial* status.value=Succeeded
| dedup object
| rename claims.ipaddr as src, subscriptionId as vendor_account, operationName.value as operationName
| stats count min(_time) as firstTime max(_time) as lastTime
BY dest user src
vendor_account vendor_product object
object_path
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `azure_automation_runbook_created_filter`
how_to_implement: You must install the latest version of Splunk Add-on for Microsoft Cloud Services from Splunkbase (https://splunkbase.splunk.com/app/3110/#/details). You must be ingesting Azure Audit events into your Splunk environment. Specifically, this analytic leverages the Azure Activity log category.
known_false_positives: Administrators may legitimately create Azure Automation Runbooks. Filter as needed.
references:
- https://docs.microsoft.com/en-us/azure/automation/overview
- https://docs.microsoft.com/en-us/azure/automation/automation-runbook-types
- https://docs.microsoft.com/en-us/azure/automation/manage-runbooks
- https://www.inversecos.com/2021/12/how-to-detect-malicious-azure.html
- https://www.netspi.com/blog/technical/cloud-penetration-testing/maintaining-azure-persistence-via-automation-accounts/
- https://microsoft.github.io/Azure-Threat-Research-Matrix/Persistence/AZT503/AZT503-3/
- https://attack.mitre.org/techniques/T1136/003/
drilldown_searches:
- name: View the detection results for - "$user$"
search: '%original_detection_search% | search user = "$user$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$user$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
finding:
title: A new Azure Automation Runbook $object$ was created by $user$
entity:
field: user
type: user
score: 50
analytic_story:
- Azure Active Directory Persistence
asset_type: Azure Tenant
mitre_attack_id:
- T1136.003
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: cloud
security_domain: audit
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1078.004/azure_automation_runbook/azure-activity.log
source: mscs:azure:audit
sourcetype: mscs:azure:audit
test_type: unit
Stages and Predicates
Stage 1: search
`azure_audit` operationName.value="Microsoft.Automation/automationAccounts/runbooks/write" object!=AzureAutomationTutorial* status.value=Succeeded
Stage 2: dedup
| dedup object
Stage 3: rename
| rename claims.ipaddr as src, subscriptionId as vendor_account, operationName.value as operationName
Stage 4: stats
| stats count min(_time) as firstTime max(_time) as lastTime
BY dest user src
vendor_account vendor_product object
object_path
Stage 5: search
| `security_content_ctime(firstTime)`
Stage 6: search
| `security_content_ctime(lastTime)`
Stage 7: search
| `azure_automation_runbook_created_filter`
Indicators
Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.
| Field | Kind | Values |
|---|---|---|
object | ne |
|
operationName.value | eq |
|
sourcetype | eq |
|
status.value | eq |
|