Azure AD Successful Authentication From Different Ips
Description
The following analytic identifies an Azure AD account successfully authenticating from more than one unique Ip address in the span of 5 minutes. This behavior could represent an adversary who has stolen credentials via a phishing attack or some other method and using them to access corporate online resources around the same time as a legitimate user. As users may behave differently across organizations, security teams should test and customize this detection to fit their environments.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2023-01-24
- Author: Mauricio Velazco, Splunk
- ID: be6d868d-33b6-4aaa-912e-724fb555b11a
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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`azuread` properties.authenticationDetails{}.succeeded=true category=SignInLogs
| rename properties.* as *
| bucket span=5m _time
| stats dc(ipAddress) AS unique_ips values(ipAddress) as ipAddress values(appDisplayName) by _time, userPrincipalName
| where unique_ips > 1
| `azure_ad_successful_authentication_from_different_ips_filter`
Macros
The SPL above uses the following Macros:
azure_ad_successful_authentication_from_different_ips_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
- properties.status.errorCode
- category
- properties.authenticationDetails
- properties.userPrincipalName
- properties.ipAddress
- properties.appDisplayName
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. Specifically, this analytic leverages the SignInLogs log category.
Known False Positives
A user with successful authentication events from different Ips may also represent the legitimate use of more than one device. Filter as needed and/or customize the threshold to fit your environment.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
56.0 | 70 | 80 | User $userPrincipalName$ has had successful authentication events from more than one unique IP address in the span of 5 minutes. |
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: 1