Welcome to the Cyber Analytics Repository

The MITRE Cyber Analytics Repository (CAR) is a knowledge base of analytics developed by MITRE based on the MITRE ATT&CK adversary model. CAR defines a data model that is leveraged in its pseudocode representations, but also includes implementations directly targeted at specific tools (e.g., Splunk, EQL) in its analytics. With respect to coverage, CAR is focused on providing a set of validated and well-explained analytics, in particular with regards to their operating theory and rationale.

If you want to start exploring, try viewing the Full Analytic List. Also, check out the ATT&CK Navigator layer that captures the current set of ATT&CK tactics and techniques covered by CAR.

Analytics stored in CAR contain the following information:

  • a hypothesis which explains the idea behind the analytic
  • the information domain or the primary domain the analytic is designed to operate within (e.g. host, network, process, external)
  • references to ATT&CK Techniques and Tactics that the analytic detects
  • the Glossary
  • a pseudocode description of how the analytic might be implemented
  • a unit test which can be run to trigger the analytic

In addition to the analytics, CAR also contains a data model for observable data used to run the analytics and sensors that are used to collect that data.


Information about the latest CAR updates and changes can be found in this section.

February 2022

January 2022

May 2021

April 2021

March 2021

January-Feburary 2021

November 2020

September 2020

August 2020

July 2020

May 2020

April 2020

  • All analytics have been updated to account for ATT&CK sub-techniques (wherever applicable). Check out the new sub-technique based coverage table here.
  • Added Applicable Platforms to all analytics. This captures the set of platforms the analytic may be applicable for; note that this does not necessarily mean that an implementation for a particular platform exists for a given analytic.
  • Added YAML for sensors (those added recently) and data models on Github.
  • New analytics added


CAR analytics were developed to detect the adversary behaviors in ATT&CK. Development of an analytic is based upon the following activities:

  • identifying and prioritizing adversary behaviors from the ATT&CK adversary model
  • identifying the data necessary to detect the adversary behavior
  • identification or creation of a sensor to collect the necessary data
  • the actual creation of the analytic to detect the identified behaviors

CAR is intended to be shared with cyber-defenders throughout the community.

This white paper on TTP-based hunting provides some useful insight into many of these activities.


It’s important to remember that ATT&CK and CAR are separate projects for good reason. It’s critical to keep how we articulate threats with ATT&CK separate from a set of possible ways to detect them with the analytics. We don’t want the defender content in ATT&CK to be overly prescriptive about how someone can defend against ATT&CK techniques because there could be many different ways, and it’s up to the organization implementing them to determine what works best for their environment and the threats they face. This is why we didn’t put the analytics in ATT&CK to begin with. CAR is a good starting point for many organizations and can be a great platform for open analytic collaboration - but it isn’t the be-all/end-all for defending against the threats described by ATT&CK.

Analytic Source Code Libraries

Some analytics are built as source code for specific products. In these cases, code might support a broad set of detections in a way that makes it hard to describe a set of distinct analytics. For these types of analytics, rather than integrating them into the main CAR site, we’ve collected them under a library of implementations. Currently, the only library is BZAR, a collection of Zeek (Bro) scripts looking primarily at SMB and RPC traffic.


We would love your contributions! Please see the Contribution Guidance for more information.