MISP Taxonomies

MISP Taxonomies is a set of common classification libraries to tag, classify and organise information. Taxonomy allows to express the same vocabulary among a distributed set of users and organisations.

Taxonomies that can be used in MISP and other information sharing tool, are expressed in Machine Tags (Triple Tags). A machine tag is composed of a namespace (MUST), a predicate (MUST) and an (OPTIONAL) value. Machine tags are often called triple tag due to their format.

The following taxonomies can be used in MISP (as local or distributed tags) or in other tools and software willing to share common taxonomies among security information sharing tools.

List of available taxonomies

CERT-XLM

CERT-XLM : CERT-XLM Security Incident Classification. Overview

DFRLab-dichotomies-of-disinformation

DFRLab-dichotomies-of-disinformation : DFRLab Dichotomies of Disinformation. Overview

DML

DML : The Detection Maturity Level (DML) model is a capability maturity model for referencing ones maturity in detecting cyber attacks. It's designed for organizations who perform intel-driven detection and response and who put an emphasis on having a mature detection program. Overview

GrayZone

GrayZone : Gray Zone of Active defense includes all elements which lay between reactive defense elements and offensive operations. It does fill the gray spot between them. Taxo may be used for active defense planning or modeling. Overview

PAP

PAP : The Permissible Actions Protocol - or short: PAP - was designed to indicate how the received information can be used. Overview

access-method

access-method : The access method used to remotely access a system. Overview

accessnow

accessnow : Access Now classification to classify an issue (such as security, human rights, youth rights). Overview

action-taken

action-taken : Action taken in the case of a security incident (CSIRT perspective). Overview

admiralty-scale

admiralty-scale : The Admiralty Scale or Ranking (also called the NATO System) is used to rank the reliability of a source and the credibility of an information. Reference based on FM 2-22.3 (FM 34-52) HUMAN INTELLIGENCE COLLECTOR OPERATIONS and NATO documents. Overview

adversary

adversary : An overview and description of the adversary infrastructure Overview

ais-marking

ais-marking : The AIS Marking Schema implementation is maintained by the National Cybersecurity and Communication Integration Center (NCCIC) of the U.S. Department of Homeland Security (DHS) Overview

analyst-assessment

analyst-assessment : A series of assessment predicates describing the analyst capabilities to perform analysis. These assessment can be assigned by the analyst him/herself or by another party evaluating the analyst. Overview

approved-category-of-action

approved-category-of-action : A pre-approved category of action for indicators being shared with partners (MIMIC). Overview

artificial-satellites

artificial-satellites : This taxonomy was designed to describe artificial satellites Overview

aviation

aviation : A taxonomy describing security threats or incidents against the aviation sector. Overview

binary-class

binary-class : Custom taxonomy for types of binary file. Overview

cccs

cccs : Internal taxonomy for CCCS. Overview

circl

circl : CIRCL Taxonomy - Schemes of Classification in Incident Response and Detection. Overview

cnsd

cnsd : La presente taxonomia es la primera versión disponible para el Centro Nacional de Seguridad Digital del Perú. Overview

coa

coa : Course of action taken within organization to discover, detect, deny, disrupt, degrade, deceive and/or destroy an attack. Overview

collaborative-intelligence

collaborative-intelligence : Collaborative intelligence support language is a common language to support analysts to perform their analysis to get crowdsourced support when using threat intelligence sharing platform like MISP. The objective of this language is to advance collaborative analysis and to share earlier than later. Overview

common-taxonomy

common-taxonomy : Common Taxonomy for Law enforcement and CSIRTs Overview

copine-scale

copine-scale : The COPINE Scale is a rating system created in Ireland and used in the United Kingdom to categorise the severity of images of child sex abuse. The scale was developed by staff at the COPINE (Combating Paedophile Information Networks in Europe) project. The COPINE Project was founded in 1997, and is based in the Department of Applied Psychology, University College Cork, Ireland. Overview

course-of-action

course-of-action : A Course Of Action analysis considers six potential courses of action for the development of a cyber security capability. Overview

crowdsec

crowdsec : Crowdsec IP address classifications and behaviors taxonomy. Overview

cryptocurrency-threat

cryptocurrency-threat : Threats targetting cryptocurrency, based on CipherTrace report. Overview

csirt-americas

csirt-americas : Taxonomía CSIRT Américas. Overview

csirt_case_classification

csirt_case_classification : It is critical that the CSIRT provide consistent and timely response to the customer, and that sensitive information is handled appropriately. This document provides the guidelines needed for CSIRT Incident Managers (IM) to classify the case category, criticality level, and sensitivity level for each CSIRT case. This information will be entered into the Incident Tracking System (ITS) when a case is created. Consistent case classification is required for the CSIRT to provide accurate reporting to management on a regular basis. In addition, the classifications will provide CSIRT IM’s with proper case handling procedures and will form the basis of SLA’s between the CSIRT and other Company departments. Overview

cssa

cssa : The CSSA agreed sharing taxonomy. Overview

cti

cti : Cyber Threat Intelligence cycle to control workflow state of your process. Overview

current-event

current-event : Current events - Schemes of Classification in Incident Response and Detection Overview

cyber-threat-framework

cyber-threat-framework : Cyber Threat Framework was developed by the US Government to enable consistent characterization and categorization of cyber threat events, and to identify trends or changes in the activities of cyber adversaries. https://www.dni.gov/index.php/cyber-threat-framework Overview

cycat

cycat : Taxonomy used by CyCAT, the Universal Cybersecurity Resource Catalogue, to categorize the namespaces it supports and uses. Overview

cytomic-orion

cytomic-orion : Taxonomy to describe desired actions for Cytomic Orion Overview

dark-web

dark-web : Criminal motivation and content detection the dark web: A categorisation model for law enforcement. ref: Janis Dalins, Campbell Wilson, Mark Carman. Taxonomy updated by MISP Project and extended by the JRC (Joint Research Centre) of the European Commission. Overview

data-classification

data-classification : Data classification for data potentially at risk of exfiltration based on table 2.1 of Solving Cyber Risk book. Overview

dcso-sharing

dcso-sharing : Taxonomy defined in the DCSO MISP Event Guide. It provides guidance for the creation and consumption of MISP events in a way that minimises the extra effort for the sending party, while enhancing the usefulness for receiving parties. Overview

ddos

ddos : Distributed Denial of Service - or short: DDoS - taxonomy supports the description of Denial of Service attacks and especially the types they belong too. Overview

de-vs

de-vs : German (DE) Government classification markings (VS). Overview

death-possibilities

death-possibilities : Taxonomy of Death Possibilities Overview

deception

deception : Deception is an important component of information operations, valuable for both offense and defense. Overview

dga

dga : A taxonomy to describe domain-generation algorithms often called DGA. Ref: A Comprehensive Measurement Study of Domain Generating Malware Daniel Plohmann and others. Overview

dhs-ciip-sectors

dhs-ciip-sectors : DHS critical sectors as in https://www.dhs.gov/critical-infrastructure-sectors Overview

diamond-model

diamond-model : The Diamond Model for Intrusion Analysis establishes the basic atomic element of any intrusion activity, the event, composed of four core features: adversary, infrastructure, capability, and victim. Overview

diamond-model-for-influence-operations

diamond-model-for-influence-operations : The diamond model for influence operations analysis is a framework that leads analysts and researchers toward a comprehensive understanding of a malign influence campaign by addressing the socio-political, technical, and psychological aspects of the campaign. The diamond model for influence operations analysis consists of 5 components: 4 corners and a core element. The 4 corners are divided into 2 axes: influencer and audience on the socio-political axis, capabilities and infrastructure on the technical axis. Narrative makes up the core of the diamond. Overview

dni-ism

dni-ism : A subset of Information Security Marking Metadata ISM as required by Executive Order (EO) 13526. As described by DNI.gov as Data Encoding Specifications for Information Security Marking Metadata in Controlled Vocabulary Enumeration Values for ISM Overview

domain-abuse

domain-abuse : Domain Name Abuse - taxonomy to tag domain names used for cybercrime. Overview

doping-substances

doping-substances : This taxonomy aims to list doping substances Overview

drugs

drugs : A taxonomy based on the superclass and class of drugs. Based on https://www.drugbank.ca/releases/latest Overview

economical-impact

economical-impact : Economical impact is a taxonomy to describe the financial impact as positive or negative gain to the tagged information (e.g. data exfiltration loss, a positive gain for an adversary). Overview

ecsirt

ecsirt : Incident Classification by the ecsirt.net version mkVI of 31 March 2015 enriched