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Description

This analytic detects when a user in an Azure AD environment grants consent to an OAuth application, capturing any consent granted regardless of the specific permissions requested. Utilizing Azure AD audit logs, it focuses on events related to OAuth application consents, alerting security teams to instances where users actively grant consent to applications. This monitoring is crucial as it highlights potential risks associated with third-party applications gaining access to organizational data, a tactic often exploited by malicious actors to gain unauthorized access. A true positive from this analytic necessitates immediate investigation to validate the application's legitimacy, review the granted permissions, and assess potential risks, helping to prevent unauthorized access and protect sensitive data and resources. While false positives may occur with legitimate application integrations, ensuring alignment with organizational policies and security best practices is paramount.

  • Type: TTP

  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2023-12-20
  • Author: Mauricio Velazco, Splunk
  • ID: 10ec9031-015b-4617-b453-c0c1ab729007

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1528 Steal Application Access Token Credential Access
Kill Chain Phase
  • Exploitation
NIST
  • DE.CM
CIS20
  • CIS 10
CVE 


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`azure_monitor_aad` operationName="Consent to application" properties.result=success 
| rename properties.* as *  
| eval permissions_index = if(mvfind('targetResources{}.modifiedProperties{}.displayName', "ConsentAction.Permissions") >= 0, mvfind('targetResources{}.modifiedProperties{}.displayName', "ConsentAction.Permissions"), -1) 
| eval permissions = mvindex('targetResources{}.modifiedProperties{}.newValue',permissions_index) 
| rex field=permissions "Scope: (?<Scope>[^,]+)" 
| stats count min(_time) as firstTime max(_time) as lastTime by operationName, user, Scope 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `azure_ad_oauth_application_consent_granted_by_user_filter`

Macros

The SPL above uses the following Macros:

:information_source: azure_ad_oauth_application_consent_granted_by_user_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required fields

List of fields required to use this analytic.

  • _time
  • operationName
  • properties.targetResources{}.modifiedProperties{}.displayName
  • properties.targetResources{}.modifiedProperties{}.newValue
  • user

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 AuditLog log category.

Known False Positives

False positives may occur if users are granting consents as part of legitimate application integrations or setups. It is crucial to review the application and the permissions it requests to ensure they align with organizational policies and security best practices.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
36.0 60 60 User $user$ consented an OAuth application.

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

Reference

Test Dataset

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

source | version: 2