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Description

The following analytic identifies the registration of a new Multi Factor authentication method for an Azure AD account. Adversaries who have obtained unauthorized access to an Azure AD account may register a new MFA method to maintain persistence.

  • Type: TTP

  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2023-01-30
  • Author: Mauricio Velazco, Splunk
  • ID: 2628b087-4189-403f-9044-87403f777a1b

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1556 Modify Authentication Process Credential Access, Defense Evasion, Persistence
T1556.006 Multi-Factor Authentication Credential Access, Defense Evasion, Persistence
Kill Chain Phase
  • Installation
  • Actions on Objectives
NIST
  • DE.CM
CIS20
  • CIS 3
  • CIS 5
  • CIS 16
CVE 


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 `azuread` category=AuditLogs operationName="User registered security info" properties.operationType=Add 
| rename properties.* as * 
| rename targetResources{}.* as * 
| stats  values(userPrincipalName) by _time, resultDescription, result, callerIpAddress 
| `azure_ad_new_mfa_method_registered_for_user_filter`

Macros

The SPL above uses the following Macros:

:information_source: azure_ad_new_mfa_method_registered_for_user_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required fields

List of fields required to use this analytic.

  • _time
  • category
  • operationName
  • properties.operationType
  • userPrincipalName
  • resultDescription
  • result
  • callerIpAddress

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 Active Directory events into your Splunk environment. Specifically, this analytic leverages the AuditLogs log category.

Known False Positives

Newly onboarded users who are registering an MFA method for the first time will also trigger this detection.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
64.0 80 80 UPDATE message

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

Reference

Test Dataset

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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