:warning: THIS IS A EXPERIMENTAL DETECTION

This detection has been marked experimental by the Splunk Threat Research team. This means we have not been able to test, simulate, or build datasets for this detection. Use at your own risk. This analytic is NOT supported.

Try in Splunk Security Cloud

Description

This search looks for the creation of WMI permanent event subscriptions.

  • Type: TTP

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

  • Last Updated: 2018-10-23
  • Author: Rico Valdez, Splunk
  • ID: 71bfdb13-f200-4c6c-b2c9-a2e07adf437d

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1047 Windows Management Instrumentation Execution
Kill Chain Phase
  • Actions on Objectives
NIST
  • PR.PT
  • PR.AT
  • PR.AC
  • PR.IP
CIS20
  • CIS 3
  • CIS 5
CVE 


1
2
3
4
5
6
7
8
9



`wmi` EventCode=5861 Binding 
| rex field=Message "Consumer =\s+(?<consumer>[^;
|^$]+)" 
| search consumer!="NTEventLogEventConsumer=\"SCM Event Log Consumer\"" 
| stats count min(_time) as firstTime max(_time) as lastTime by ComputerName, consumer, Message 
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)` 
| rename ComputerName as dest 
| `wmi_permanent_event_subscription_filter`

Macros

The SPL above uses the following Macros:

:information_source: wmi_permanent_event_subscription_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
  • EventCode
  • Message
  • consumer
  • ComputerName

How To Implement

To successfully implement this search, you must be ingesting the Windows WMI activity logs. This can be done by adding a stanza to inputs.conf on the system generating logs with a title of [WinEventLog://Microsoft-Windows-WMI-Activity/Operational].

Known False Positives

Although unlikely, administrators may use event subscriptions for legitimate purposes.

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: 1