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splunk_escuTTP
Azure AD Successful Single-Factor Authentication
The following analytic identifies a successful single-factor authentication event against Azure Active Directory. It leverages Azure SignInLogs data, specifically focusing on events where single-factor authentication succeeded. This activity is significant as it may indicate a misconfiguration, policy violation, or potential account takeover attempt. If confirmed malicious, an attacker could gain unauthorized access to the account, potentially leading to data breaches, privilege escalation, or further exploitation within the environment.
Detection Query
`azure_monitor_aad` category=SignInLogs properties.authenticationRequirement=singleFactorAuthentication properties.authenticationDetails{}.succeeded=true
| rename properties.* as *
| rename userAgent as user_agent
| fillnull
| stats count min(_time) as firstTime max(_time) as lastTime
BY dest user src
vendor_account vendor_product user_agent
signature
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `azure_ad_successful_single_factor_authentication_filter`Author
Mauricio Velazco, Gowthamaraj Rajendran, Splunk
Created
2026-03-10
Data Sources
Azure Active Directory
References
- https://attack.mitre.org/techniques/T1078/004/
- https://docs.microsoft.com/en-us/azure/active-directory/authentication/concept-mfa-howitworks*
- https://www.forbes.com/sites/daveywinder/2020/07/08/new-dark-web-audit-reveals-15-billion-stolen-logins-from-100000-breaches-passwords-hackers-cybercrime/?sh=69927b2a180f
Tags
Azure Active Directory Account Takeover
Raw Content
name: Azure AD Successful Single-Factor Authentication
id: a560e7f6-1711-4353-885b-40be53101fcd
version: 11
date: '2026-03-10'
author: Mauricio Velazco, Gowthamaraj Rajendran, Splunk
status: production
type: TTP
description: The following analytic identifies a successful single-factor authentication event against Azure Active Directory. It leverages Azure SignInLogs data, specifically focusing on events where single-factor authentication succeeded. This activity is significant as it may indicate a misconfiguration, policy violation, or potential account takeover attempt. If confirmed malicious, an attacker could gain unauthorized access to the account, potentially leading to data breaches, privilege escalation, or further exploitation within the environment.
data_source:
- Azure Active Directory
search: |-
`azure_monitor_aad` category=SignInLogs properties.authenticationRequirement=singleFactorAuthentication properties.authenticationDetails{}.succeeded=true
| rename properties.* as *
| rename userAgent as user_agent
| fillnull
| stats count min(_time) as firstTime max(_time) as lastTime
BY dest user src
vendor_account vendor_product user_agent
signature
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `azure_ad_successful_single_factor_authentication_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 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 Signin log category.
known_false_positives: Although not recommended, certain users may be required without multi-factor authentication. Filter as needed
references:
- https://attack.mitre.org/techniques/T1078/004/
- https://docs.microsoft.com/en-us/azure/active-directory/authentication/concept-mfa-howitworks*
- https://www.forbes.com/sites/daveywinder/2020/07/08/new-dark-web-audit-reveals-15-billion-stolen-logins-from-100000-breaches-passwords-hackers-cybercrime/?sh=69927b2a180f
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 ("$user$") starthoursago=168 | 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: $info_min_time$
latest_offset: $info_max_time$
rba:
message: Successful authentication for user $user$ without MFA
risk_objects:
- field: user
type: user
score: 50
threat_objects:
- field: src
type: ip_address
tags:
analytic_story:
- Azure Active Directory Account Takeover
asset_type: Azure Active Directory
mitre_attack_id:
- T1078.004
- T1586.003
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
security_domain: identity
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1078.004/azuread/azure-audit.log
source: Azure AD
sourcetype: azure:monitor:aad