← Back to Explore
splunk_escuTTP
Azure Active Directory High Risk Sign-in
The following analytic detects high-risk sign-in attempts against Azure Active Directory, identified by Azure Identity Protection. It leverages the RiskyUsers and UserRiskEvents log categories from Azure AD events ingested via EventHub. This activity is significant as it indicates potentially compromised accounts, flagged by heuristics and machine learning. If confirmed malicious, attackers could gain unauthorized access to sensitive resources, leading to data breaches or further exploitation within the environment.
Detection Query
`azure_monitor_aad` `azure_monitor_aad` category=UserRiskEvents properties.riskLevel=high
| fillnull
| stats count min(_time) as firstTime max(_time) as lastTime
BY dest user src
vendor_account vendor_product category
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `azure_active_directory_high_risk_sign_in_filter`Author
Mauricio Velazco, Gowthamaraj Rajendran, Splunk
Created
2026-03-10
Data Sources
Azure Active Directory
References
- https://attack.mitre.org/techniques/T1110/003/
- https://docs.microsoft.com/en-us/security/compass/incident-response-playbook-password-spray
- https://docs.microsoft.com/en-us/azure/active-directory/identity-protection/overview-identity-protection
- https://docs.microsoft.com/en-us/azure/active-directory/identity-protection/concept-identity-protection-risks
Tags
Azure Active Directory Account Takeover
Raw Content
name: Azure Active Directory High Risk Sign-in
id: 1ecff169-26d7-4161-9a7b-2ac4c8e61bea
version: 11
date: '2026-03-10'
author: Mauricio Velazco, Gowthamaraj Rajendran, Splunk
status: production
type: TTP
description: The following analytic detects high-risk sign-in attempts against Azure Active Directory, identified by Azure Identity Protection. It leverages the RiskyUsers and UserRiskEvents log categories from Azure AD events ingested via EventHub. This activity is significant as it indicates potentially compromised accounts, flagged by heuristics and machine learning. If confirmed malicious, attackers could gain unauthorized access to sensitive resources, leading to data breaches or further exploitation within the environment.
data_source:
- Azure Active Directory
search: |-
`azure_monitor_aad` `azure_monitor_aad` category=UserRiskEvents properties.riskLevel=high
| fillnull
| stats count min(_time) as firstTime max(_time) as lastTime
BY dest user src
vendor_account vendor_product category
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `azure_active_directory_high_risk_sign_in_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. Specifically, this analytic leverages the RiskyUsers and UserRiskEvents log category in the azure:monitor:aad sourcetype.
known_false_positives: Details for the risk calculation algorithm used by Identity Protection are unknown and may be prone to false positives.
references:
- https://attack.mitre.org/techniques/T1110/003/
- https://docs.microsoft.com/en-us/security/compass/incident-response-playbook-password-spray
- https://docs.microsoft.com/en-us/azure/active-directory/identity-protection/overview-identity-protection
- https://docs.microsoft.com/en-us/azure/active-directory/identity-protection/concept-identity-protection-risks
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: A high risk event was identified by Identify Protection for user $user$
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:
- T1110.003
- 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/T1110.003/azuread_highrisk/azure-audit.log
source: Azure AD
sourcetype: azure:monitor:aad