Detection: Azure AD New MFA Method Registered

Description

The following analytic detects the registration of a new Multi-Factor Authentication (MFA) method for a user account in Azure Active Directory. It leverages Azure AD audit logs to identify changes in MFA configurations. This activity is significant because adding a new MFA method can indicate an attacker's attempt to maintain persistence on a compromised account. If confirmed malicious, the attacker could bypass existing security measures, solidify their access, and potentially escalate privileges, access sensitive data, or make unauthorized changes. Immediate verification and remediation are required to secure the affected account.

 1`azure_monitor_aad`  operationName="Update user" 
 2| rename properties.* as *  
 3| eval propertyName = mvindex('targetResources{}.modifiedProperties{}.displayName', 0) 
 4| search propertyName = StrongAuthenticationMethod 
 5| eval oldvalue = mvindex('targetResources{}.modifiedProperties{}.oldValue',0) 
 6| eval newvalue = mvindex('targetResources{}.modifiedProperties{}.newValue',0) 
 7| rex field=newvalue max_match=0 "(?i)(?<new_method_type>\"MethodType\")" 
 8| rex field=oldvalue max_match=0 "(?i)(?<old_method_type>\"MethodType\")" 
 9| eval count_new_method_type = coalesce(mvcount(new_method_type), 0) 
10| eval count_old_method_type = coalesce(mvcount(old_method_type), 0) 
11| stats earliest(_time) as firstTime latest(_time) as lastTime values(propertyName) by user newvalue oldvalue 
12| `security_content_ctime(firstTime)` 
13| `security_content_ctime(lastTime)` 
14| `azure_ad_new_mfa_method_registered_filter`

Data Source

Name Platform Sourcetype Source Supported App
Azure Active Directory Update user Azure icon Azure 'azure:monitor:aad' 'Azure AD' N/A

Macros Used

Name Value
azure_monitor_aad sourcetype=azure:monitor:aad
azure_ad_new_mfa_method_registered_filter search *
azure_ad_new_mfa_method_registered_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1098 Account Manipulation Persistence
T1098.005 Device Registration Privilege Escalation
KillChainPhase.EXPLOITAITON
KillChainPhase.INSTALLATION
NistCategory.DE_CM
Cis18Value.CIS_10
APT3
APT41
APT5
Dragonfly
FIN13
HAFNIUM
Kimsuky
Lazarus Group
Magic Hound
APT29

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule 0 * * * *
Earliest Time -70m@m
Latest Time -10m@m
Schedule Window auto
Creates Notable Yes
Rule Title %name%
Rule Description %description%
Notable Event Fields user, dest
Creates Risk Event True
This configuration file applies to all detections of type TTP. These detections will use Risk Based Alerting and generate Notable Events.

Implementation

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 through an EventHub. This analytic was written to be used with the azure:monitor:aad sourcetype leveraging the AuditLog log category.

Known False Positives

Users may register MFA methods legitimally, investigate and filter as needed.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message Risk Score Impact Confidence
A new MFA method was registered for user $user$ 30 60 50
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

References

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation Passing N/A N/A N/A
Unit Passing Dataset Azure AD azure:monitor:aad
Integration ✅ Passing Dataset Azure AD azure:monitor:aad

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


Source: GitHub | Version: 3