Category

Cyber Threat Intelligence

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, …

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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 …

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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 …

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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 …

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ATT&CK Workbench V1

ATT&CK Workbench is an easy-to-use open-source tool that allows organizations to manage and extend their own local version of ATT&CK and keep it in sync with MITRE’s knowledge base.

Workbench allows users to explore, create, annotate, and share extensions of the ATT&CK knowledge base. …

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ATT&CK for Containers

This project investigated the viability of adding container-related techniques into MITRE ATT&CK, leading to the development of an ATT&CK for Containers matrix. This work covers both orchestration-level (e.g., Kubernetes) and container-level (e.g., Docker) adversary behaviors in a single …

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ATT&CK for Cloud

This project refined and expanded MITRE ATT&CK’s coverage of adversary behaviors in cloud environments. Through our research, we refactored and consolidated the cloud platforms into IaaS, SaaS, Office365, and Azure AD. Next, we overhauled cloud data sources to better align with enterprise …

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