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Splunk Security Content

Welcome to the Splunk Security Content

This project gives you access to our repository of Analytic Stories that are security guides which provide background on TTPs, mapped to the MITRE framework, the Lockheed Martin Kill Chain, and CIS controls. They include Splunk searches, machine-learning algorithms, and Splunk Phantom playbooks (where available)—all designed to work together to detect, investigate, and respond to threats.

View Our Content

If you prefer working with the command line, check out our API:

curl -s https://content.splunkresearch.com | jq
{
  "hello": "welcome to Splunks Research security content api"
}

Test Out The Detections

The attack_range project allows you to spin up an enviroment and launch attacks against it to test the detections.

Questions?

If you get stuck or need help with any of our tools, see our support options.

Contribute Content

If you want to help the rest of the security community by sharing your own detections, see our contributor guide. Digital defenders unite!

Content Parts

  • stories/: All Analytic Stories
  • detections/: Splunk Enterprise, Splunk UBA, and Splunk Phantom detections that power Analytic Stories
  • response_tasks/: Splunk Enterprise and Splunk Phantom investigative searches and playbooks employed by Analytic Stories
  • responses/: Automated Splunk Enterprise and Splunk Phantom responses triggered by Analytic Stories

Content Spec Files

MITRE ATT&CK ⚔️

Detection Coverage

To view an up-to-date detection coverage map for all the content tagged with MITRE techniques visit: https://mitremap.splunkresearch.com/ under the Detection Coverage layer. Below is a snapshot in time of what technique we currently have some detection coverage for. The darker the shade of blue the more detections we have for this particular technique. This map is automatically updated on every release and generated from the generate-coverage-map.py.

Detection Priority by Threat Actors

If curious about how the Threat Research team prioritizes what content to build refer to our Detection Priority by Threat Actors layer in https://mitremap.splunkresearch.com/. Using the actor data from MITRE CTI we add a point for every threat actor that uses a particular technique, and then subtract a point of every detection we have mapped to that technique. The resulting map below is how we prioritize what techniques and detections to focus on next. This map is automatically updated on every release and is generated by the generate-actors-map.py script.