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Description

This detection search will help profile user accounts in your environment by identifying newly created accounts that have been added to your network in the past week.

  • Type: Hunting

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

  • Last Updated: 2017-09-12
  • Author: Bhavin Patel, Splunk
  • ID: 475b9e27-17e4-46e2-b7e2-648221be3b89

Annotations

ATT&CK
ID Technique Tactic
T1078.002 Domain Accounts Defense Evasion, Initial Access, Persistence, Privilege Escalation
Kill Chain Phase
  • Exploitation
NIST
  • PR.IP
CIS20
  • CIS 16
CVE 
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| from datamodel Identity_Management.All_Identities  
| eval empStatus=case((now()-startDate)<604800, "Accounts created in last week") 
| search empStatus="Accounts created in last week"
| `security_content_ctime(endDate)` 
| `security_content_ctime(startDate)`
| table identity empStatus endDate startDate 
| `identify_new_user_accounts_filter`

Macros

The SPL above uses the following Macros:

Note that identify_new_user_accounts_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

How To Implement

To successfully implement this search, you need to be populating the Enterprise Security Identity_Management data model in the assets and identity framework.

Known False Positives

If the Identity_Management data model is not updated regularly, this search could give you false positive alerts. Please consider this and investigate appropriately.

Associated Analytic story

RBA

Risk Score Impact Confidence Message
25.0 50 50 tbd

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