Name:Azure AD New MFA Method Registered For User id:2628b087-4189-403f-9044-87403f777a1b version:14 date:None author:Mauricio Velazco, Splunk status:production type:TTP Description:The following analytic detects the registration of a new Multi-Factor Authentication (MFA) method for an Azure AD account. It leverages Azure AD AuditLogs to identify when a user registers new security information. This activity is significant because adversaries who gain unauthorized access to an account may add their own MFA method to maintain persistence. If confirmed malicious, this could allow attackers to bypass existing security controls, maintain long-term access, and potentially escalate their privileges within the environment. Data_source:
-Azure Active Directory User registered security info
| stats count min(_time) as firstTime max(_time) as lastTime BY action dest user src vendor_account vendor_product user_agent result resultDescription signature
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 through an EventHub. This analytic was written to be used with the azure:monitor:aad sourcetype leveraging 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. References: -https://docs.microsoft.com/en-us/azure/active-directory/authentication/concept-mfa-howitworks -https://attack.mitre.org/techniques/T1556/ -https://attack.mitre.org/techniques/T1556/006/ -https://twitter.com/jhencinski/status/1618660062352007174 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' analytic_story:['Compromised User Account', 'Azure Active Directory Account Takeover', 'Scattered Lapsus$ Hunters']
