Detection rules › Splunk

Okta New Device Enrolled on Account

Status
production
Severity
medium
Group by
All_Changes.action, All_Changes.command, All_Changes.dest, All_Changes.object_category, All_Changes.result, All_Changes.src, All_Changes.user, _time, sourcetype
Author
Michael Haag, Mauricio Velazco, Splunk
Source
github.com/splunk/security_content

The following analytic identifies when a new device is enrolled on an Okta account. It uses OktaIm2 logs ingested via the Splunk Add-on for Okta Identity Cloud to detect the creation of new device enrollments. This activity is significant as it may indicate a legitimate user setting up a new device or an adversary adding a device to maintain unauthorized access. If confirmed malicious, this could lead to potential account takeover, unauthorized access, and persistent control over the compromised Okta account. Monitoring this behavior is crucial for detecting and mitigating unauthorized access attempts.

MITRE ATT&CK coverage

Rule body splunk

name: Okta New Device Enrolled on Account
id: bb27cbce-d4de-432c-932f-2e206e9130fb
version: 14
creation_date: '2022-12-19'
modification_date: '2026-05-13'
author: Michael Haag, Mauricio Velazco, Splunk
status: production
type: TTP
description: The following analytic identifies when a new device is enrolled on an Okta account. It uses OktaIm2 logs ingested via the Splunk Add-on for Okta Identity Cloud to detect the creation of new device enrollments. This activity is significant as it may indicate a legitimate user setting up a new device or an adversary adding a device to maintain unauthorized access. If confirmed malicious, this could lead to potential account takeover, unauthorized access, and persistent control over the compromised Okta account. Monitoring this behavior is crucial for detecting and mitigating unauthorized access attempts.
data_source:
    - Okta
search: |-
    | tstats `security_content_summariesonly` count max(_time) as lastTime, min(_time) as firstTime FROM datamodel=Change
      WHERE All_Changes.action=created All_Changes.command=device.enrollment.create
      BY _time span=5m All_Changes.user
         All_Changes.result All_Changes.command sourcetype
         All_Changes.src All_Changes.action All_Changes.object_category
         All_Changes.dest
    | `drop_dm_object_name("All_Changes")`
    | `security_content_ctime(firstTime)`
    | `security_content_ctime(lastTime)`
    | `okta_new_device_enrolled_on_account_filter`
how_to_implement: The analytic leverages Okta OktaIm2 logs to be ingested using the Splunk Add-on for Okta Identity Cloud (https://splunkbase.splunk.com/app/6553).
known_false_positives: It is possible that the user has legitimately added a new device to their account. Please verify this activity.
references:
    - https://attack.mitre.org/techniques/T1098/005/
    - https://developer.okta.com/docs/reference/api/event-types/?q=device.enrollment.create
drilldown_searches:
    - name: View the detection results for - "$user$"
      search: '%original_detection_search% | search  user = "$user$"'
      earliest_offset: $info_min_time$
      latest_offset: $info_max_time$
    - name: View risk events for the last 7 days for - "$user$"
      search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
      earliest_offset: 7d
      latest_offset: "0"
finding:
    title: A new device was enrolled on an Okta account for user [$user$]. Investigate further to determine if this was authorized.
    entity:
        field: user
        type: user
        score: 50
analytic_story:
    - Okta Account Takeover
    - Scattered Lapsus$ Hunters
asset_type: Okta Tenant
mitre_attack_id:
    - T1098.005
product:
    - Splunk Enterprise
    - Splunk Enterprise Security
    - Splunk Cloud
category: application
security_domain: identity
tests:
    - name: True Positive Test
      attack_data:
        - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1098.005/okta_new_device_enrolled/okta_new_device_enrolled.log
          source: Okta
          sourcetype: OktaIM2:log
      test_type: unit

Stages and Predicates

Stage 1: tstats

| tstats `security_content_summariesonly` count max(_time) as lastTime, min(_time) as firstTime FROM datamodel=Change
  WHERE All_Changes.action=created All_Changes.command=device.enrollment.create
  BY _time span=5m All_Changes.user
     All_Changes.result All_Changes.command sourcetype
     All_Changes.src All_Changes.action All_Changes.object_category
     All_Changes.dest

Stage 2: search

| `drop_dm_object_name("All_Changes")`

Stage 3: search

| `security_content_ctime(firstTime)`

Stage 4: search

| `security_content_ctime(lastTime)`

Stage 5: search

| `okta_new_device_enrolled_on_account_filter`

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

FieldKindValues
All_Changes.actioneq
  • created
All_Changes.commandeq
  • "device.enrollment.create"