Attack Flow v3
With Attack Flow v3, you will capture the entire attack and communicate what matters!
This is an older version of the Attack Flow project. For the latest version, see: Attack Flow.
Ambiguous Techniques v1.0
Building upon the research of Summiting the Pyramid, Ambiguous Techniques is a methodology to determine malicious intent behind seemingly benign behavior by applying contextual analysis to ATT&CK techniques. Reduce false positives and uncover adversarial use of living-off-the-land activity. …
Summiting the Pyramid v1
Many analytics are dependent on specific tools or artifacts. Adversaries can easily evade these with low-cost changes that exploit the dependencies. This project developed a method to evaluate analytics relative to the adversary’s cost to evade. We further created approaches and tips for defenders …
Attack Flow v2
Attack Flow is a data model with supporting tooling and examples for describing sequences of adversary behaviors. Attack flows help defenders understand, share, and make threat-informed decisions based on the sequence of actions in a cyber-attack. Flows can be analyzed to identify common patterns in …
Attack Flow v1
Defenders typically track adversary behaviors atomically, focusing on one specific action at a time. While this is a good first step toward adopting a threat-informed defense, adversaries usually use multiple actions in sequence—we call these sequences attack flows. Toward the goal of visualizing, …
Sightings Ecosystem V1
This project provides cybersecurity defenders and researchers with critical insight into real-world, in the wild adversary behaviors mapped to ATT&CK. The ecosystem aims to fundamentally advance the collective ability to see threat activity across organizational, platform, vendor and …
Insider Threat TTP Knowledge Base V1
The Insider Threat Tactics, Techniques, and Procedures (TTP) Knowledge Base aims to advance our collective understanding of the technical mechanisms that insider threats have used. With this knowledge, Insider Threat Programs and Security Operations Centers will detect, mitigate, and emulate insider …
Threat Report Attack Mapper V1
TRAM is an open-source platform designed to advance research into automating the mapping of cyber threat intelligence reports to MITRE ATT&CK®. TRAM enables researchers to test and refine Machine Learning (ML) models for identifying ATT&CK techniques in prose-based threat intel reports and …
ATT&CK Integration into VERIS V1
This project created a mapping and translation layer between VERIS and ATT&CK that allows ATT&CK to describe the adversary behaviors that were observed in an incident coded in VERIS. This creates the opportunity for a joint analysis of the information that ATT&CK describes well (the …
Atomic Data Sources
Cyber threat detection starts with understanding the data sources and sensors that can be used to detect a given adversary TTP. Motivated by a lack of detailed data source definitions in MITRE ATT&CK® to support defensive cyber operations use cases, we wanted to greatly expand the set of data …