Azure AD Block User Consent For Risky Apps Disabled
Description
The following analytic detects when the risk-based step-up consent security setting in Azure AD is disabled. It monitors Azure Active Directory logs for the "Update authorization policy" operation, specifically changes to the "AllowUserConsentForRiskyApps" setting. This activity is significant because disabling this feature can expose the organization to OAuth phishing threats by allowing users to grant consent to potentially malicious applications. If confirmed malicious, attackers could gain unauthorized access to user data and sensitive information, leading to data breaches and further compromise within the organization.
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Risk
- Last Updated: 2024-05-23
- Author: Mauricio Velazco, Splunk
- ID: 875de3d7-09bc-4916-8c0a-0929f4ced3d8
Annotations
Kill Chain Phase
- Exploitation
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
1
2
3
4
5
6
7
8
9
10
`azure_monitor_aad` operationName="Update authorization policy"
| rename properties.* as *
| eval index_number = if(mvfind('targetResources{}.modifiedProperties{}.displayName', "AllowUserConsentForRiskyApps") >= 0, mvfind('targetResources{}.modifiedProperties{}.displayName', "AllowUserConsentForRiskyApps"), -1)
| search index_number >= 0
| eval AllowUserConsentForRiskyApps = mvindex('targetResources{}.modifiedProperties{}.newValue',index_number)
| search AllowUserConsentForRiskyApps = "[true]"
| stats count min(_time) as firstTime max(_time) as lastTime by user, src_ip, operationName, AllowUserConsentForRiskyApps
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `azure_ad_block_user_consent_for_risky_apps_disabled_filter`
Macros
The SPL above uses the following Macros:
azure_ad_block_user_consent_for_risky_apps_disabled_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
- src_ip
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
Legitimate changes to the 'risk-based step-up consent' setting by administrators, perhaps as part of a policy update or security assessment, may trigger this alert, necessitating verification of the change's intent and authorization
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
30.0 | 60 | 50 | User $user$ disabled the BlockUserConsentForRiskyApps Azure AD setting. |
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
- https://attack.mitre.org/techniques/T1562/
- https://goodworkaround.com/2020/10/19/a-look-behind-the-azure-ad-permission-classifications-preview/
- https://learn.microsoft.com/en-us/entra/identity/enterprise-apps/configure-risk-based-step-up-consent
- https://learn.microsoft.com/en-us/defender-cloud-apps/investigate-risky-oauth
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: 3