Try in Splunk Security Cloud

Description

This search looks for applications on the endpoint that you have marked as prohibited.

  • Type: Hunting
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Endpoint
  • Last Updated: 2019-10-11
  • Author: David Dorsey, Splunk
  • ID: a51bfe1a-94f0-48cc-b4e4-b6ae50145893

Annotations

ATT&CK
Kill Chain Phase
  • Installation
  • Command & Control
  • Actions on Objectives
NIST
  • ID.AM
  • PR.DS
CIS20
  • CIS 2
CVE
1
2
3
4
5
6
7
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes by Processes.dest Processes.user Processes.process_name 
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)` 
| `drop_dm_object_name(Processes)` 
| `prohibited_softwares` 
| `prohibited_software_on_endpoint_filter`

Macros

The SPL above uses the following Macros:

:information_source: prohibited_software_on_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

  • _times

How To Implement

To successfully implement this search, you must be ingesting data that records process activity from your hosts to populate the endpoint data model in the processes node. This is typically populated via endpoint detection-and-response product, such as Carbon Black or endpoint data sources, such as Sysmon. The data used for this search is usually generated via logs that report process tracking in your Windows audit settings. In addition, you must also have only the process_name (not the entire process path) marked as “prohibited” in the Enterprise Security interesting processes table. To include the process names marked as “prohibited”, which is included with ES Content Updates, run the included search Add Prohibited Processes to Enterprise Security.

Known False Positives

None identified

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

source | version: 2