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O365 User Consent Blocked for Risky Application

The following analytic identifies instances where Office 365 has blocked a user's attempt to grant consent to an application deemed risky or potentially malicious. This detection leverages O365 audit logs, specifically focusing on failed user consent actions due to system-driven blocks. Monitoring these blocked consent attempts is crucial as it highlights potential threats early on, indicating that a user might be targeted or that malicious applications are attempting to infiltrate the organization. If confirmed malicious, this activity suggests that O365's security measures successfully prevented a harmful application from accessing organizational data, warranting immediate investigation.

MITRE ATT&CK

Detection Query

`o365_management_activity` Workload=AzureActiveDirectory Operation="Consent to application." ResultStatus=Failure | eval permissions =mvindex('ModifiedProperties{}.NewValue', 4) | eval reason =mvindex('ModifiedProperties{}.NewValue', 5) | search reason = "Risky application detected" | rex field=permissions "Scope: (?<Scope>[^,]+)" | fillnull | stats max(_time) as lastTime by user, reason, object, Scope, dest, src, vendor_account, vendor_product, signature | `security_content_ctime(lastTime)` | `o365_user_consent_blocked_for_risky_application_filter`

Author

Mauricio Velazco, Splunk

Created

2026-03-10

Data Sources

O365 Consent to application.

Tags

Office 365 Account Takeover
Raw Content
name: O365 User Consent Blocked for Risky Application
id: 242e4d30-cb59-4051-b0cf-58895e218f40
version: 7
date: '2026-03-10'
author: Mauricio Velazco, Splunk
status: production
type: TTP
data_source:
    - O365 Consent to application.
description: The following analytic identifies instances where Office 365 has blocked a user's attempt to grant consent to an application deemed risky or potentially malicious. This detection leverages O365 audit logs, specifically focusing on failed user consent actions due to system-driven blocks. Monitoring these blocked consent attempts is crucial as it highlights potential threats early on, indicating that a user might be targeted or that malicious applications are attempting to infiltrate the organization. If confirmed malicious, this activity suggests that O365's security measures successfully prevented a harmful application from accessing organizational data, warranting immediate investigation.
search: "`o365_management_activity` Workload=AzureActiveDirectory Operation=\"Consent to application.\" ResultStatus=Failure | eval permissions =mvindex('ModifiedProperties{}.NewValue', 4) | eval reason =mvindex('ModifiedProperties{}.NewValue', 5) | search reason = \"Risky application detected\" | rex field=permissions \"Scope: (?<Scope>[^,]+)\" | fillnull | stats max(_time) as lastTime by user, reason, object, Scope, dest, src, vendor_account, vendor_product, signature | `security_content_ctime(lastTime)` | `o365_user_consent_blocked_for_risky_application_filter`"
how_to_implement: You must install the Splunk Microsoft Office 365 Add-on and ingest Office 365 management activity events.
known_false_positives: Microsofts algorithm to identify risky applications is unknown and may flag legitimate applications.
references:
    - https://attack.mitre.org/techniques/T1528/
    - https://www.microsoft.com/en-us/security/blog/2022/09/22/malicious-oauth-applications-used-to-compromise-email-servers-and-spread-spam/
    - https://learn.microsoft.com/en-us/azure/active-directory/manage-apps/protect-against-consent-phishing
    - https://learn.microsoft.com/en-us/defender-cloud-apps/investigate-risky-oauth
    - https://www.alteredsecurity.com/post/introduction-to-365-stealer
    - https://github.com/AlteredSecurity/365-Stealer
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: O365 has blocked $user$ attempt to grant to consent to an application deemed risky.
    risk_objects:
        - field: user
          type: user
          score: 50
    threat_objects: []
tags:
    analytic_story:
        - Office 365 Account Takeover
    asset_type: O365 Tenant
    mitre_attack_id:
        - T1528
    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/T1528/o365_user_consent_blocked/o365_user_consent_blocked.log
          source: o365
          sourcetype: o365:management:activity