Osquery pack - ColdRoot detection
THIS IS A DEPRECATED DETECTION
This detection has been marked deprecated by the Splunk Threat Research team. This means that it will no longer be maintained or supported.
This search looks for ColdRoot events from the osx-attacks osquery pack.
- Type: TTP
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2019-01-29
- Author: Rico Valdez, Splunk
- ID: a6fffe5e-05c3-4c04-badc-887607fbb8dc
Kill Chain Phase
- CIS 10
1 2 3 4 5 6 7 | from datamodel Alerts.Alerts | search app=osquery:results (name=pack_osx-attacks_OSX_ColdRoot_RAT_Launchd OR name=pack_osx-attacks_OSX_ColdRoot_RAT_Files) | rename columns.path as path | bucket _time span=30s | stats count(path) by _time, host, user, path | `osquery_pack___coldroot_detection_filter`
The SPL above uses the following Macros:
osquery_pack_-_coldroot_detection_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
List of fields required to use this analytic.
How To Implement
In order to properly run this search, Splunk needs to ingest data from your osquery deployed agents with the osx-attacks.conf pack enabled. Also the TA-OSquery must be deployed across your indexers and universal forwarders in order to have the osquery data populate the Alerts data model
Known False Positives
There are no known false positives.
Associated Analytic Story
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
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