Detection rules › Splunk

Azure AD Successful Authentication From Different Ips

Status
production
Severity
medium
Group by
aws::recipientAccountId, signature, user, vendor_product
Author
Mauricio Velazco, Splunk
Source
github.com/splunk/security_content

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.

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.

MITRE ATT&CK coverage

Telemetry coverage

Rules detecting the same action

These rules filter on the same operation.

Rule body

name: Azure AD Successful Authentication From Different Ips
id: be6d868d-33b6-4aaa-912e-724fb555b11a
version: 14
creation_date: '2023-01-24'
modification_date: '2026-05-13'
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
finding:
    title: User $user$ has had successful authentication events from more than one unique IP address in the span of 30 minutes.
    entity:
        field: user
        type: user
        score: 50
threat_objects:
    - field: src
      type: ip_address
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
category: cloud
security_domain: identity

Stages and Predicates

Stage 1: search

`azure_monitor_aad` properties.authenticationDetails{}.succeeded=true category=SignInLogs

Stage 2: rename

| rename properties.* as *

Stage 3: bucket

| bucket span=30m _time

Stage 4: fillnull

| fillnull

Stage 5: stats

| 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

Stage 6: search

| `security_content_ctime(firstTime)`

Stage 7: search

| `security_content_ctime(lastTime)`

Stage 8: where

| where unique_ips > 1

Stage 9: search

| `azure_ad_successful_authentication_from_different_ips_filter`

Indicators

These rows show field, operator, and value matches.