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Description

The following analytic identifies instances where the same Okta user logs in from different cities within a 24-hour period. This detection leverages Okta Identity Management logs, analyzing login events and their geographic locations. Such behavior is significant as it may indicate a compromised account, with an attacker attempting unauthorized access from multiple locations. If confirmed malicious, this activity could lead to account takeovers and data breaches, allowing attackers to access sensitive information and potentially escalate their privileges within the environment.

  • Type: Anomaly
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Authentication
  • Last Updated: 2024-05-09
  • Author: Bhavin Patel, Splunk
  • ID: a3d1df37-c2a9-41d0-aa8f-59f82d6192a8

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1586.003 Cloud Accounts Resource Development
Kill Chain Phase
  • Weaponization
NIST
  • DE.AE
CIS20
  • CIS 10
CVE 


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| tstats  `security_content_summariesonly` values(Authentication.app) as app values(Authentication.action) as action values(Authentication.user) as user values(Authentication.reason) as reason values(Authentication.dest) as dest values(Authentication.signature) as signature  values(Authentication.method) as method  from datamodel=Authentication where  Authentication.signature=user.session.start by _time Authentication.src 
| `drop_dm_object_name("Authentication")` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| iplocation src 
| stats count min(_time) as firstTime max(_time) as lastTime dc(src) as distinct_src dc(City) as distinct_city values(src) as src values(City) as City values(Country) as Country values(action) as action by user 
| where distinct_city > 1 
| `okta_user_logins_from_multiple_cities_filter`

Macros

The SPL above uses the following Macros:

:information_source: okta_user_logins_from_multiple_cities_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
  • Authentication.app
  • Authentication.action
  • Authentication.user
  • Authentication.reason
  • Authentication.dest
  • Authentication.signature
  • Authentication.method
  • Authentication.src

How To Implement

This detection utilizes logs from Okta Identity Management (IM) environments. It requires the ingestion of OktaIm2 logs through the Splunk Add-on for Okta Identity Cloud (https://splunkbase.splunk.com/app/6553).

Known False Positives

It is uncommon for a user to log in from multiple cities simultaneously, which may indicate a false positive.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
81.0 90 90 A user [$user$] has logged in from multiple cities [$City$] from IP Address - [$src$]. Investigate further to determine if this was authorized.

: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