:warning: THIS IS A EXPERIMENTAL DETECTION

This detection has been marked experimental by the Splunk Threat Research team. This means we have not been able to test, simulate, or build datasets for this detection. Use at your own risk. This analytic is NOT supported.

Try in Splunk Security Cloud

Description

The following analytic utilizes the user.acount.lock event to identify associates who are locked out of Okta. An adversary attempting to brute force or password spray account names may lock accounts out depending on the threshold.

  • Type: Anomaly

  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2022-09-21
  • Author: Michael Haag, Splunk
  • ID: d650c0ae-bdc5-400e-9f0f-f7aa0a010ef1

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1110 Brute Force Credential Access
Kill Chain Phase
  • Exploitation
NIST
  • DE.CM
CIS20
  • CIS 16
CVE 


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`okta` eventType=user.account.lock 
| stats count min(_time) as firstTime max(_time) as lastTime values(displayMessage) by src_user src_ip eventType status 
| where count >=3 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)`
| `okta_account_locked_out_filter`

Macros

The SPL above uses the following Macros:

:information_source: okta_account_locked_out_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
  • src_user
  • src_ip
  • eventType
  • status

How To Implement

This analytic is specific to Okta and requires Okta logs to be ingested.

Known False Positives

False positives may be present. Tune Okta and tune the analytic to ensure proper fidelity. Modify risk score as needed. Drop to anomaly until tuning is complete.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
64.0 80 80 $src_user$ account has been locked out.

: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: 1