:no_entry: THIS IS A DEPRECATED DETECTION

This detection has been marked deprecated by the Splunk Threat Research team. This means that it will no longer be maintained or supported.

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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

ATT&CK

ID Technique Tactic
T1078.002 Domain Accounts Defense Evasion, Persistence, Privilege Escalation, Initial Access
Kill Chain Phase
  • Exploitation
  • Installation
  • Delivery
NIST
  • DE.AE
CIS20
  • CIS 10
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:

:information_source: 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 fields

List of fields required to use this analytic.

  • _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

: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

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