WARNING THIS IS A EXPERIMENTAL object

We have not been able to test, simulate, or build datasets for this object. Use at your own risk. This analytic is NOT supported.

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Description

This search looks for RDP application network traffic and filters any source/destination pair generating more than twice the standard deviation of the average traffic.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Network_Traffic
  • Last Updated: 2020-07-21
  • Author: Jose Hernandez, Splunk
  • ID: a98727cc-286b-4ff2-b898-41df64695923

Annotations

ATT&CK
ID Technique Tactic
T1021.001 Remote Desktop Protocol Lateral Movement
T1021 Remote Services Lateral Movement
Kill Chain Phase
  • Reconnaissance
  • Delivery
NIST
  • DE.AE
  • PR.AC
  • PR.IP
CIS20
  • CIS 12
  • CIS 9
  • CIS 16
CVE
1
2
3
4
5
6
7
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Network_Traffic where All_Traffic.app=rdp by All_Traffic.src All_Traffic.dest All_Traffic.dest_port 
| eventstats stdev(count) AS stdev avg(count) AS avg p50(count) AS p50 
| where count>(avg + stdev*2) 
| rename All_Traffic.src AS src All_Traffic.dest AS dest 
| table firstTime lastTime src dest count avg p50 stdev 
| `remote_desktop_network_bruteforce_filter`

Macros

The SPL above uses the following Macros:

Note that remote_desktop_network_bruteforce_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_Traffic.app
  • All_Traffic.src
  • All_Traffic.dest
  • All_Traffic.dest_port

How To Implement

You must ensure that your network traffic data is populating the Network_Traffic data model.

Known False Positives

RDP gateways may have unusually high amounts of traffic from all other hosts’ RDP applications in the network.

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: 2