Remote Desktop Network Bruteforce
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.
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
Kill Chain Phase
- Exploitation
NIST
- DE.CM
CIS20
- CIS 13
CVE
Search
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| 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:
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 fields
List of fields required to use this analytic.
- _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 | $dest$ may be the target of an RDP Bruteforce |
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