O365 Multiple Service Principals Created by SP
Description
The following analytic identifies instances where a single service principal creates more than three unique OAuth applications within a 10-minute timeframe. It leverages O365 logs from the Unified Audit Log, focusing on the 'Add service principal' operation in the Office 365 Azure Active Directory environment. This activity is significant as it may indicate a compromised or malicious service principal attempting to expand control or access within the network. If confirmed malicious, this could lead to unauthorized access and potential lateral movement within the environment, posing a significant security risk.
- Type: Anomaly
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-05-29
- Author: Mauricio Velazco, Splunk
- ID: ef4c3f20-d1ad-4ad1-a3f4-d5f391c005fe
Annotations
Kill Chain Phase
- Installation
NIST
- DE.AE
CIS20
- CIS 10
CVE
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`o365_management_activity` Workload=AzureActiveDirectory Operation="Add service principal."
| bucket span=10m _time
| eval len=mvcount('Actor{}.ID')
| eval userType = mvindex('Actor{}.ID',len-1)
| search userType = "ServicePrincipal"
| eval displayName = object
| stats count earliest(_time) as firstTime latest(_time) as lastTime values(displayName) as displayName dc(displayName) as unique_apps by src_user
| where unique_apps > 3
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `o365_multiple_service_principals_created_by_sp_filter`
Macros
The SPL above uses the following Macros:
o365_multiple_service_principals_created_by_sp_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
- Workload
- Operation
- Actor{}.ID
- src_user
- object
How To Implement
You must install the Splunk Microsoft Office 365 Add-on and ingest Office 365 management activity events.
Known False Positives
Certain users or applications may create multiple service principals in a short period of time for legitimate purposes. Filter as needed.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
42.0 | 70 | 60 | Multiple OAuth applications were created by $src_user$ in a short period of time |
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/T1136/003/
- https://www.microsoft.com/en-us/security/blog/2024/01/25/midnight-blizzard-guidance-for-responders-on-nation-state-attack/
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