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Azure AD Successful Authentication From Different Ips

The following analytic detects an Azure AD account successfully authenticating from multiple unique IP addresses within a 30-minute window. It leverages Azure AD SignInLogs to identify instances where the same user logs in from different IPs in a short time frame. This behavior is significant as it may indicate compromised credentials being used by an adversary, potentially following a phishing attack. If confirmed malicious, this activity could allow unauthorized access to corporate resources, leading to data breaches or further exploitation within the network.

MITRE ATT&CK

Detection Query

`azure_monitor_aad` properties.authenticationDetails{}.succeeded=true category=SignInLogs
  | rename properties.* as *
  | bucket span=30m _time
  | fillnull
  | stats count min(_time) as firstTime max(_time) as lastTime dc(src) AS unique_ips values(dest) as dest values(src) as src
    BY user vendor_account vendor_product
       signature
  | `security_content_ctime(firstTime)`
  | `security_content_ctime(lastTime)`
  | where unique_ips > 1
  | `azure_ad_successful_authentication_from_different_ips_filter`

Author

Mauricio Velazco, Splunk

Created

2026-03-10

Data Sources

Azure Active Directory

Tags

Compromised User AccountAzure Active Directory Account Takeover
Raw Content
name: Azure AD Successful Authentication From Different Ips
id: be6d868d-33b6-4aaa-912e-724fb555b11a
version: 12
date: '2026-03-10'
author: Mauricio Velazco, Splunk
status: production
type: TTP
description: The following analytic detects an Azure AD account successfully authenticating from multiple unique IP addresses within a 30-minute window. It leverages Azure AD SignInLogs to identify instances where the same user logs in from different IPs in a short time frame. This behavior is significant as it may indicate compromised credentials being used by an adversary, potentially following a phishing attack. If confirmed malicious, this activity could allow unauthorized access to corporate resources, leading to data breaches or further exploitation within the network.
data_source:
    - Azure Active Directory
search: |-
    `azure_monitor_aad` properties.authenticationDetails{}.succeeded=true category=SignInLogs
      | rename properties.* as *
      | bucket span=30m _time
      | fillnull
      | stats count min(_time) as firstTime max(_time) as lastTime dc(src) AS unique_ips values(dest) as dest values(src) as src
        BY user vendor_account vendor_product
           signature
      | `security_content_ctime(firstTime)`
      | `security_content_ctime(lastTime)`
      | where unique_ips > 1
      | `azure_ad_successful_authentication_from_different_ips_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: A user with successful authentication events from different Ips may also represent the legitimate use of more than one device. Filter as needed and/or customize the threshold to fit your environment.
references:
    - https://attack.mitre.org/techniques/T1110
    - https://attack.mitre.org/techniques/T1110.001
    - https://attack.mitre.org/techniques/T1110.003
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: User $user$ has had successful authentication events from more than one unique IP address in the span of 30 minutes.
    risk_objects:
        - field: user
          type: user
          score: 50
    threat_objects:
        - field: src
          type: ip_address
tags:
    analytic_story:
        - Compromised User Account
        - Azure Active Directory Account Takeover
    asset_type: Azure Tenant
    mitre_attack_id:
        - T1110.001
        - T1110.003
    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/T1110.001/azure_ad_successful_authentication_from_different_ips/azuread.log
          source: Azure AD
          sourcetype: azure:monitor:aad