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Description

This search identifies endpoints that have caused a relatively high number of account lockouts in a short period.

  • Type: Anomaly
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Change
  • Last Updated: 2020-11-09
  • Author: David Dorsey, Splunk
  • ID: c026e3dd-7e18-4abb-8f41-929e836efe74

ATT&CK

ID Technique Tactic
T1078 Valid Accounts Defense Evasion, Persistence, Privilege Escalation, Initial Access
T1078.002 Domain Accounts Defense Evasion, Persistence, Privilege Escalation, Initial Access

| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime values(All_Changes.user) as user from datamodel=Change.All_Changes where nodename=All_Changes.Account_Management All_Changes.result="lockout" by All_Changes.dest All_Changes.result 
|`drop_dm_object_name("All_Changes")` 
|`drop_dm_object_name("Account_Management")`
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| search count > 5 
| `detect_excessive_account_lockouts_from_endpoint_filter`

Associated Analytic Story

How To Implement

You must ingest your Windows security event logs in the Change datamodel under the nodename is Account_Management, for this search to execute successfully. Please consider updating the cron schedule and the count of lockouts you want to monitor, according to your environment.
Splunk>Phantom Playbook Integration
If Splunk>Phantom is also configured in your environment, a Playbook called "Excessive Account Lockouts Enrichment and Response" can be configured to run when any results are found by this detection search. The Playbook executes the Contextual and Investigative searches in this Story, conducts additional information gathering on Windows endpoints, and takes a response action to shut down the affected endpoint. To use this integration, install the Phantom App for Splunk https://splunkbase.splunk.com/app/3411/, add the correct hostname to the "Phantom Instance" field in the Adaptive Response Actions when configuring this detection search, and set the corresponding Playbook to active.
(Playbook Link:https://my.phantom.us/4.1/playbook/excessive-account-lockouts-enrichment-and-response/).\

Required field

  • _time
  • All_Changes.user
  • nodename
  • All_Changes.result
  • All_Changes.dest

Kill Chain Phase

Known False Positives

It's possible that a widely used system, such as a kiosk, could cause a large number of account lockouts.

RBA

Risk Score Impact Confidence Message
36.0 60 60 Multiple accounts have been locked out. Review $dest$ and results related to $user$.

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: 5