Azure Automation Runbook Created
The following analytic identifies the creation of a new Azure Automation Runbook within an Azure tenant. Azure Automation is a cloud-based automation platform that allows administrators to automate Azure management tasks and orchestrate actions across external systems within Azure. Azure Automation script files called Runbooks that can be written in PowerShell or Python. Adversaries or red teams who have obtained privileged access to an Azure tenant may create an Azure Automation Runbook that runs with elevated privileges to maintain persistence in the Azure tenant. A malicious Automation Runbook can be created to create Global Administrators in Azure AD, execute code on VMs, etc.
- Type: TTP
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2022-08-22
- Author: Mauricio Velazco, Splunk
- ID: 178d696d-6dc6-4ee8-9d25-93fee34eaf5b
Kill Chain Phase
- CIS 10
1 2 3 4 `azure_audit` operationName.localizedValue="Create or Update an Azure Automation Runbook" object!=AzureAutomationTutorial* status.value=Succeeded | dedup object | stats values(object) by _time, caller, claims.ipaddr, resourceGroupName, object_path | `azure_automation_runbook_created_filter`
The SPL above uses the following Macros:
azure_automation_runbook_created_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
List of fields required to use this analytic.
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.
Associated Analytic Story
|63.0||70||90||A new Azure Automation Runbook $object$ was created by $caller$|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
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replay.py tool or the UI.
Alternatively you can replay a dataset into a Splunk Attack Range
source | version: 1