: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 detects SIGRed via Zeek DNS and Zeek Conn data.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Network_Resolution
  • Last Updated: 2020-07-28
  • Author: Shannon Davis, Splunk
  • ID: c5c622e4-d073-11ea-87d0-0242ac130003

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1203 Exploitation for Client Execution Execution
Kill Chain Phase
  • Exploitation
NIST
  • DE.CM
CIS20
  • CIS 8
  • CIS 16
CVE
1
2
3
4
5
6
7
8
9
10
| tstats `security_content_summariesonly` count from datamodel=Network_Resolution where DNS.query_type IN (SIG,KEY) by DNS.flow_id 
| rename DNS.flow_id as flow_id 
| append [
| tstats  `security_content_summariesonly` count from datamodel=Network_Traffic where All_Traffic.bytes_in>65000 by All_Traffic.flow_id 
| rename All_Traffic.flow_id as flow_id] 
| `detect_windows_dns_sigred_via_zeek_filter` 
| stats count by flow_id 
| where count>1 
| fields - count 

Macros

The SPL above uses the following Macros:

:information_source: detect_windows_dns_sigred_via_zeek_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
  • DNS.query_type
  • DNS.flow_id
  • All_Traffic.bytes_in
  • All_Traffic.flow_id

How To Implement

You must be ingesting Zeek DNS and Zeek Conn data into Splunk. Zeek data should also be getting ingested in JSON format. We are detecting SIG and KEY records via bro:dns:json and TCP payload over 65KB in size via bro:conn:json. The Network Resolution and Network Traffic datamodels are in use for this search.

Known False Positives

unknown

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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