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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

Annotations

ATT&CK
ID Technique Tactic
T1078 Valid Accounts Defense Evasion, Initial Access, Persistence, Privilege Escalation
T1078.002 Domain Accounts Defense Evasion, Initial Access, Persistence, Privilege Escalation
Kill Chain Phase
  • Exploitation
NIST
  • PR.IP
CIS20
  • CIS 16
CVE
1
2
3
4
5
6
7
8
| 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`

Macros

The SPL above uses the following Macros:

Note that detect_excessive_account_lockouts_from_endpoint_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required field

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

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/).\

Known False Positives

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

Associated Analytic story

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