diff --git a/detections/cloud/azure_ad_oauth_application_consent_granted_by_user.yml b/detections/cloud/azure_ad_oauth_application_consent_granted_by_user.yml index 80d1f91370f..7ac29c4a6b5 100644 --- a/detections/cloud/azure_ad_oauth_application_consent_granted_by_user.yml +++ b/detections/cloud/azure_ad_oauth_application_consent_granted_by_user.yml @@ -1,17 +1,42 @@ name: Azure AD OAuth Application Consent Granted By User id: 10ec9031-015b-4617-b453-c0c1ab729007 -version: 11 +version: 12 creation_date: '2023-11-16' -modification_date: '2026-05-13' +modification_date: '2026-09-24' author: Mauricio Velazco, Splunk status: production type: TTP -description: The following analytic detects when a user in an Azure AD environment grants consent to an OAuth application. It leverages Azure AD audit logs to identify events where users approve application consents. This activity is significant as it can expose organizational data to third-party applications, a common tactic used by malicious actors to gain unauthorized access. If confirmed malicious, this could lead to unauthorized access to sensitive information and resources. Immediate investigation is required to validate the application's legitimacy, review permissions, and mitigate potential risks. +description: |- + The following analytic detects when a user in an Azure AD environment grants consent to an OAuth application. It leverages Azure AD audit logs to identify events where users approve application consents. + This activity is significant as it can expose organizational data to third-party applications, a common tactic used by malicious actors to gain unauthorized access. + If confirmed malicious, this could lead to unauthorized access to sensitive information and resources. Immediate investigation is required to validate the application's legitimacy, review permissions, and mitigate potential risks. data_source: - Azure Active Directory Consent to application -search: "`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: (? [ ^,]+)\" | fillnull | stats count min(_time) as firstTime max(_time) as lastTime by dest user src vendor_account vendor_product Scope signature | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `azure_ad_oauth_application_consent_granted_by_user_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 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. +search: |- + `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: (?[^,]+)" + + | fillnull + + | stats count min(_time) as firstTime + max(_time) as lastTime + by dest user src vendor_account vendor_product Scope signature + + | `security_content_ctime(firstTime)` + | `security_content_ctime(lastTime)` + | `azure_ad_oauth_application_consent_granted_by_user_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 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. 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/ diff --git a/detections/cloud/azure_ad_user_consent_blocked_for_risky_application.yml b/detections/cloud/azure_ad_user_consent_blocked_for_risky_application.yml index 33466bc2234..9fc6cc75509 100644 --- a/detections/cloud/azure_ad_user_consent_blocked_for_risky_application.yml +++ b/detections/cloud/azure_ad_user_consent_blocked_for_risky_application.yml @@ -1,17 +1,44 @@ name: Azure AD User Consent Blocked for Risky Application id: 06b8ec9a-d3b5-4882-8f16-04b4d10f5eab -version: 11 +version: 12 creation_date: '2023-11-16' -modification_date: '2026-05-13' +modification_date: '2026-09-24' author: Mauricio Velazco, Splunk status: production type: TTP -description: The following analytic detects instances where Azure AD has blocked a user's attempt to grant consent to a risky or potentially malicious application. This detection leverages Azure AD audit logs, focusing on user consent actions and 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 Azure's security measures successfully prevented a harmful application from accessing organizational data, warranting immediate investigation to understand the context and take preventive measures. +description: |- + The following analytic detects instances where Azure AD has blocked a user's attempt to grant consent to a risky or potentially malicious application. + This detection leverages Azure AD audit logs, focusing on user consent actions and 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 Azure's security measures successfully prevented a harmful application from accessing organizational data, warranting immediate investigation to understand the context and take preventive measures. data_source: - Azure Active Directory Consent to application -search: "`azure_monitor_aad` operationName=\"Consent to application\" properties.result=failure | rename properties.* as * | eval reason_index = if(mvfind('targetResources{}.modifiedProperties{}.displayName', \"ConsentAction.Reason\") >= 0, mvfind('targetResources{}.modifiedProperties{}.displayName', \"ConsentAction.Reason\"), -1) | eval permissions_index = if(mvfind('targetResources{}.modifiedProperties{}.displayName', \"ConsentAction.Permissions\") >= 0, mvfind('targetResources{}.modifiedProperties{}.displayName', \"ConsentAction.Permissions\"), -1) | search reason_index >= 0 | eval reason = mvindex('targetResources{}.modifiedProperties{}.newValue',reason_index) | eval permissions = mvindex('targetResources{}.modifiedProperties{}.newValue',permissions_index) | search reason = \"\\\"Risky application detected\\\"\" | rex field=permissions \"Scope: (? [ ^,]+)\" | fillnull | stats count min(_time) as firstTime max(_time) as lastTime by dest user src vendor_account vendor_product reason Scope signature | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `azure_ad_user_consent_blocked_for_risky_application_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 AuditLog log category. -known_false_positives: UPDATE_KNOWN_FALSE_POSITIVES +search: |- + `azure_monitor_aad` + operationName="Consent to application" + properties.result=failure + + | rename properties.* as * + + | eval reason_index = if(mvfind('targetResources{}.modifiedProperties{}.displayName', "ConsentAction.Reason") >= 0, mvfind('targetResources{}.modifiedProperties{}.displayName', "ConsentAction.Reason"), -1) + | eval permissions_index = if(mvfind('targetResources{}.modifiedProperties{}.displayName', "ConsentAction.Permissions") >= 0, mvfind('targetResources{}.modifiedProperties{}.displayName', "ConsentAction.Permissions"), -1) + | search reason_index >= 0 + | eval reason = mvindex('targetResources{}.modifiedProperties{}.newValue',reason_index) | eval permissions = mvindex('targetResources{}.modifiedProperties{}.newValue',permissions_index) + | search reason = "Risky application detected" + | rex field=permissions "Scope: (?[^,]+)" + | fillnull + + | stats count min(_time) as firstTime + max(_time) as lastTime + by dest user src vendor_account vendor_product reason Scope signature + + | `security_content_ctime(firstTime)` + | `security_content_ctime(lastTime)` + | `azure_ad_user_consent_blocked_for_risky_application_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 AuditLog log category. +known_false_positives: |- + No false positives have been identified at this time. 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/