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.
Description
This search looks for ColdRoot events from the osx-attacks osquery pack.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-08-15
- Author: Rico Valdez, Splunk
- ID: a6fffe5e-05c3-4c04-badc-887607fbb8dc
Annotations
ATT&CK
Kill Chain Phase
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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| 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`
Macros
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.
Required fields
List of fields required to use this analytic.
- _time
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
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
25.0 | 50 | 50 | tbd |
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