Detection: Okta IDP Lifecycle Modifications

Updated Date: 2024-09-30 ID: e0be2c83-5526-4219-a14f-c3db2e763d15 Author: Bhavin Patel, Splunk Type: Anomaly Product: Splunk Enterprise Security

Description

The following analytic identifies modifications to Okta Identity Provider (IDP) lifecycle events, including creation, activation, deactivation, and deletion of IDP configurations. It uses OktaIm2 logs ingested via the Splunk Add-on for Okta Identity Cloud. Monitoring these events is crucial for maintaining the integrity and security of authentication mechanisms. Unauthorized or anomalous changes could indicate potential security breaches or misconfigurations. If confirmed malicious, attackers could manipulate authentication processes, potentially gaining unauthorized access or disrupting identity management systems.

1`okta` eventType IN ("system.idp.lifecycle.activate","system.idp.lifecycle.create","system.idp.lifecycle.delete","system.idp.lifecycle.deactivate") 
2|  stats count  min(_time) as firstTime max(_time) as lastTime values(target{}.id) as target_id values(target{}.type) as target_modified by src dest src_user_id user user_agent command description 
3| `security_content_ctime(firstTime)` 
4| `security_content_ctime(lastTime)` 
5| `okta_idp_lifecycle_modifications_filter`

Data Source

Name Platform Sourcetype Source
Okta N/A 'OktaIM2:log' 'Okta'

Macros Used

Name Value
okta eventtype=okta_log OR sourcetype = "OktaIM2:log"
okta_idp_lifecycle_modifications_filter search *
okta_idp_lifecycle_modifications_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1087.004 Cloud Account Discovery
KillChainPhase.EXPLOITAITON
NistCategory.DE_AE
Cis18Value.CIS_10
APT29

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule 0 * * * *
Earliest Time -70m@m
Latest Time -10m@m
Schedule Window auto
Creates Risk Event True
This configuration file applies to all detections of type anomaly. These detections will use Risk Based Alerting.

Implementation

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's possible for legitimate administrative actions or automated processes to trigger this detection, especially if there are bulk modifications to Okta IDP lifecycle events. Review the context of the modification, such as the user making the change and the specific lifecycle event modified, to determine if it aligns with expected behavior.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message Risk Score Impact Confidence
A user [$user$] is attempting IDP lifecycle modification - [$description$] from IP Address - [$src$]" 81 90 90
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

References

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation ✅ Passing N/A N/A N/A
Unit ✅ Passing Dataset Okta OktaIM2:log
Integration ✅ Passing Dataset Okta OktaIM2:log

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: GitHub | Version: 3