This document describes the MISP query format used to search MISP (Malware Information and threat Sharing Platform) [MISP-P] threat intelligence instances. MISP query format is a simple format used to query MISP instances over a REST (Representational State Transfer ) interface. The query format includes the JSON format to describe the query and the minimal API access to perform the query. The JSON format includes the overall structure along with the semantic associated for each respective key. The goal of the format is to query MISP threat intelligence instances can feed and integrate with network security devices (such as firewall, network intrusion detection system, routers, SIEMs), endpoint security devices or monitoring devices.
This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.
+
Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is at https://datatracker.ietf.org/drafts/current/.
+
Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress."
+
This Internet-Draft will expire on April 11, 2019.
Copyright (c) 2018 IETF Trust and the persons identified as the document authors. All rights reserved.
+
This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (https://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License.
Sharing threat information became a fundamental requirements in the Internet, security and intelligence community at large. Threat information can include indicators of compromise, malicious file indicators, financial fraud indicators or even detailed information about a threat actor. MISP [MISP-P] started as an open source project in late 2011 and the MISP format started to be widely used as an exchange format within the community in the past years. The core format is described in an Internet-Draft as misp-core-format [MISP-C] and contain the standard MISP JSON format used for threat intelligence.
+
The aim of this document is to describe the specification of the MISP query format and how the query can be perform against a REST interface.
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119 [RFC2119].
limit MAY be present. If present, the page parameter MUST also be supplied. limit sets the number of returned elements when paginating, depending on the scope of the request (x number of attributes or x number of events) as converted into the output format.
page MAY be present. If present, the page parameter MUST also be supplied. page generates the offset for the pagination and will return a result set consisting of a slice of the query results starting with offset (limit * page) + 1 and ending with (limit * (page+1)).
value MAY be present. If set, the returned data set will be filtered on the attribute value field. value MAY be a string or a sub-string, the latter of which start with, ends with or is encapsulated in wildcard (\%) characters.
type MAY be present. If set, the returned data set will be filtered on the attribute type field. type MAY be a string or a sub-string, the latter of which start with, ends with or is encapsulated in wildcard (\%) characters. The list of valid attribute types is described in the MISP core format [MISP-C] in the attribute type section.
category MAY be present. If set, the returned data set will be filtered on the attribute category field. category MAY be a string or a sub-string, the latter of which start with, ends with or is encapsulated in wildcard (\%) characters. The list of valid categories is described in the MISP core format [MISP-C] in the attribute type section.
+
A sample query to lookup for the last 30 days of indicators in the Financial fraud category and output in CSV format:
MISP threat intelligence instances might contain sensitive or confidential information. Adequate access control and encryption measures shall be implemented to ensure the confidentiality of the threat intelligence.
+
Adversaries might include malicious content in MISP queries. Implementation MUST consider the input of malicious inputs beside the standard threat information that might already include malicious intended inputs.
The authors wish to thank all the MISP community who are supporting the creation of open standards in threat intelligence sharing. A special thank to all the committees which triggered us to come with better and flexible format.
+
+
+
diff --git a/misp-query-format/raw.md.txt b/misp-query-format/raw.md.txt
new file mode 100644
index 0000000..1ad03a4
--- /dev/null
+++ b/misp-query-format/raw.md.txt
@@ -0,0 +1,336 @@
+
+
+
+
+Network Working Group A. Dulaunoy
+Internet-Draft A. Iklody
+Intended status: Informational CIRCL
+Expires: April 11, 2019 October 8, 2018
+
+
+ MISP query format
+ draft-dulaunoy-misp-core-format
+
+Abstract
+
+ This document describes the MISP query format used to search MISP
+ (Malware Information and threat Sharing Platform) [MISP-P] threat
+ intelligence instances. MISP query format is a simple format used to
+ query MISP instances over a REST (Representational State Transfer )
+ interface. The query format includes the JSON format to describe the
+ query and the minimal API access to perform the query. The JSON
+ format includes the overall structure along with the semantic
+ associated for each respective key. The goal of the format is to
+ query MISP threat intelligence instances can feed and integrate with
+ network security devices (such as firewall, network intrusion
+ detection system, routers, SIEMs), endpoint security devices or
+ monitoring devices.
+
+Status of This Memo
+
+ This Internet-Draft is submitted in full conformance with the
+ provisions of BCP 78 and BCP 79.
+
+ Internet-Drafts are working documents of the Internet Engineering
+ Task Force (IETF). Note that other groups may also distribute
+ working documents as Internet-Drafts. The list of current Internet-
+ Drafts is at https://datatracker.ietf.org/drafts/current/.
+
+ Internet-Drafts are draft documents valid for a maximum of six months
+ and may be updated, replaced, or obsoleted by other documents at any
+ time. It is inappropriate to use Internet-Drafts as reference
+ material or to cite them other than as "work in progress."
+
+ This Internet-Draft will expire on April 11, 2019.
+
+Copyright Notice
+
+ Copyright (c) 2018 IETF Trust and the persons identified as the
+ document authors. All rights reserved.
+
+ This document is subject to BCP 78 and the IETF Trust's Legal
+ Provisions Relating to IETF Documents
+
+
+
+Dulaunoy & Iklody Expires April 11, 2019 [Page 1]
+
+Internet-Draft MISP query format October 2018
+
+
+ (https://trustee.ietf.org/license-info) in effect on the date of
+ publication of this document. Please review these documents
+ carefully, as they describe your rights and restrictions with respect
+ to this document. Code Components extracted from this document must
+ include Simplified BSD License text as described in Section 4.e of
+ the Trust Legal Provisions and are provided without warranty as
+ described in the Simplified BSD License.
+
+Table of Contents
+
+ 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
+ 1.1. Conventions and Terminology . . . . . . . . . . . . . . . 3
+ 2. Format . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
+ 2.1. Overview . . . . . . . . . . . . . . . . . . . . . . . . 3
+ 2.2. query format criteria . . . . . . . . . . . . . . . . . . 3
+ 2.2.1. returnFormat . . . . . . . . . . . . . . . . . . . . 3
+ 2.2.2. limit . . . . . . . . . . . . . . . . . . . . . . . . 3
+ 2.2.3. page . . . . . . . . . . . . . . . . . . . . . . . . 3
+ 2.2.4. value . . . . . . . . . . . . . . . . . . . . . . . . 4
+ 2.2.5. type . . . . . . . . . . . . . . . . . . . . . . . . 4
+ 2.2.6. category . . . . . . . . . . . . . . . . . . . . . . 4
+ 3. Security Considerations . . . . . . . . . . . . . . . . . . . 4
+ 4. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 5
+ 5. References . . . . . . . . . . . . . . . . . . . . . . . . . 5
+ 5.1. Normative References . . . . . . . . . . . . . . . . . . 5
+ 5.2. Informative References . . . . . . . . . . . . . . . . . 5
+ Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 5
+
+1. Introduction
+
+ Sharing threat information became a fundamental requirements in the
+ Internet, security and intelligence community at large. Threat
+ information can include indicators of compromise, malicious file
+ indicators, financial fraud indicators or even detailed information
+ about a threat actor. MISP [MISP-P] started as an open source
+ project in late 2011 and the MISP format started to be widely used as
+ an exchange format within the community in the past years. The core
+ format is described in an Internet-Draft as misp-core-format [MISP-C]
+ and contain the standard MISP JSON format used for threat
+ intelligence.
+
+ The aim of this document is to describe the specification of the MISP
+ query format and how the query can be perform against a REST
+ interface.
+
+
+
+
+
+
+
+Dulaunoy & Iklody Expires April 11, 2019 [Page 2]
+
+Internet-Draft MISP query format October 2018
+
+
+1.1. Conventions and Terminology
+
+ The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
+ "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
+ document are to be interpreted as described in RFC 2119 [RFC2119].
+
+2. Format
+
+2.1. Overview
+
+ The MISP query format is in the JSON [RFC4627] format.
+
+2.2. query format criteria
+
+2.2.1. returnFormat
+
+ returnFormat MUST be present. returnFormat sets the type of output
+ format. MISP allows multiple format (depending of the
+ configuration):
+
+ +----------+------------------------------------------------+
+ | value | Description |
+ +----------+------------------------------------------------+
+ | json | MISP JSON core format as described in [MISP-C] |
+ | xml | MISP XML format |
+ | openioc | OpenIOC format |
+ | suricata | Suricata NIDS format |
+ | snort | Snort NIDS format |
+ | csv | CSV format |
+ | rpz | Response policy zone format |
+ | text | Raw value list format |
+ +----------+------------------------------------------------+
+
+2.2.2. limit
+
+ limit MAY be present. If present, the page parameter MUST also be
+ supplied. limit sets the number of returned elements when paginating,
+ depending on the scope of the request (x number of attributes or x
+ number of events) as converted into the output format.
+
+2.2.3. page
+
+ page MAY be present. If present, the page parameter MUST also be
+ supplied. page generates the offset for the pagination and will
+ return a result set consisting of a slice of the query results
+ starting with offset (limit * page) + 1 and ending with (limit *
+ (page+1)).
+
+
+
+
+Dulaunoy & Iklody Expires April 11, 2019 [Page 3]
+
+Internet-Draft MISP query format October 2018
+
+
+2.2.4. value
+
+ value MAY be present. If set, the returned data set will be filtered
+ on the attribute value field. value MAY be a string or a sub-string,
+ the latter of which start with, ends with or is encapsulated in
+ wildcard (\%) characters.
+
+2.2.5. type
+
+ type MAY be present. If set, the returned data set will be filtered
+ on the attribute type field. type MAY be a string or a sub-string,
+ the latter of which start with, ends with or is encapsulated in
+ wildcard (\%) characters. The list of valid attribute types is
+ described in the MISP core format [MISP-C] in the attribute type
+ section.
+
+2.2.6. category
+
+ category MAY be present. If set, the returned data set will be
+ filtered on the attribute category field. category MAY be a string or
+ a sub-string, the latter of which start with, ends with or is
+ encapsulated in wildcard (\%) characters. The list of valid
+ categories is described in the MISP core format [MISP-C] in the
+ attribute type section.
+
+ A sample query to lookup for the last 30 days of indicators in the
+ "Financial fraud" category and output in CSV format:
+
+ {
+ "returnFormat": "csv",
+ "last": "30d",
+ "category": "Financial fraud"
+ }
+
+3. Security Considerations
+
+ MISP threat intelligence instances might contain sensitive or
+ confidential information. Adequate access control and encryption
+ measures shall be implemented to ensure the confidentiality of the
+ threat intelligence.
+
+ Adversaries might include malicious content in MISP queries.
+ Implementation MUST consider the input of malicious inputs beside the
+ standard threat information that might already include malicious
+ intended inputs.
+
+
+
+
+
+
+Dulaunoy & Iklody Expires April 11, 2019 [Page 4]
+
+Internet-Draft MISP query format October 2018
+
+
+4. Acknowledgements
+
+ The authors wish to thank all the MISP community who are supporting
+ the creation of open standards in threat intelligence sharing. A
+ special thank to all the committees which triggered us to come with
+ better and flexible format.
+
+5. References
+
+5.1. Normative References
+
+ [RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
+ Requirement Levels", BCP 14, RFC 2119,
+ DOI 10.17487/RFC2119, March 1997,
+ .
+
+ [RFC4627] Crockford, D., "The application/json Media Type for
+ JavaScript Object Notation (JSON)", RFC 4627,
+ DOI 10.17487/RFC4627, July 2006,
+ .
+
+5.2. Informative References
+
+ [MISP-C] MISP, "MISP core format", .
+
+ [MISP-P] MISP, "MISP Project - Malware Information Sharing Platform
+ and Threat Sharing", .
+
+Authors' Addresses
+
+ Alexandre Dulaunoy
+ Computer Incident Response Center Luxembourg
+ 16, bd d'Avranches
+ Luxembourg L-1160
+ Luxembourg
+
+ Phone: +352 247 88444
+ Email: alexandre.dulaunoy@circl.lu
+
+
+
+
+
+
+
+
+
+
+
+
+Dulaunoy & Iklody Expires April 11, 2019 [Page 5]
+
+Internet-Draft MISP query format October 2018
+
+
+ Andras Iklody
+ Computer Incident Response Center Luxembourg
+ 16, bd d'Avranches
+ Luxembourg L-1160
+ Luxembourg
+
+ Phone: +352 247 88444
+ Email: andras.iklody@circl.lu
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Dulaunoy & Iklody Expires April 11, 2019 [Page 6]
diff --git a/misp-query-format/raw.md.xml b/misp-query-format/raw.md.xml
new file mode 100644
index 0000000..9be5e6e
--- /dev/null
+++ b/misp-query-format/raw.md.xml
@@ -0,0 +1,185 @@
+
+
+
+
+
+
+
+
+
+
+
+
+MISP query format
+
+
+Computer Incident Response Center Luxembourg
+
+
+16, bd d'Avranches
+Luxembourg
+L-1160
+Luxembourg
+
+
++352 247 88444
+alexandre.dulaunoy@circl.lu
+
+
+
+
+Computer Incident Response Center Luxembourg
+
+
+16, bd d'Avranches
+Luxembourg
+L-1160
+Luxembourg
+
+
++352 247 88444
+andras.iklody@circl.lu
+
+
+
+
+
+Security
+
+
+
+
+This document describes the MISP query format used to search MISP (Malware Information and threat Sharing Platform) threat intelligence instances.
+MISP query format is a simple format used to query MISP instances over a REST (Representational State Transfer ) interface.
+The query format includes the JSON format to describe the query and the minimal API access to perform the query. The JSON format includes the overall structure along with the semantic associated for each respective key. The goal of the format is to query MISP threat intelligence instances can feed and integrate with network security devices (such as firewall, network intrusion detection system, routers, SIEMs), endpoint security devices or monitoring devices.
+
+
+
+
+
+
+
+
+
+Sharing threat information became a fundamental requirements in the Internet, security and intelligence community at large. Threat
+information can include indicators of compromise, malicious file indicators, financial fraud indicators
+or even detailed information about a threat actor. MISP started as an open source project in late 2011 and
+the MISP format started to be widely used as an exchange format within the community in the past years. The core format
+is described in an Internet-Draft as misp-core-format and contain the standard MISP JSON format used for threat
+intelligence.
+
+The aim of this document is to describe the specification of the MISP query format and how the query can be perform against a REST interface.
+
+
+
+The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
+"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
+document are to be interpreted as described in RFC 2119 .
+
+
+
+
+
+
+
+The MISP query format is in the JSON format.
+
+
+
+
+
+
+returnFormat MUST be present. returnFormat sets the type of output format. MISP allows multiple format (depending of the configuration):
+
+
+value
+Description
+
+jsonMISP JSON core format as described in
+xmlMISP XML format
+openiocOpenIOC format
+suricataSuricata NIDS format
+snortSnort NIDS format
+csvCSV format
+rpzResponse policy zone format
+textRaw value list format
+
+
+
+
+limit MAY be present. If present, the page parameter MUST also be supplied. limit sets the number of returned elements when paginating, depending on the scope of the request (x number of attributes or x number of events) as converted into the output format.
+
+
+
+
+page MAY be present. If present, the page parameter MUST also be supplied. page generates the offset for the pagination and will return a result set consisting of a slice of the query results starting with offset (limit * page) + 1 and ending with (limit * (page+1)).
+
+
+
+
+value MAY be present. If set, the returned data set will be filtered on the attribute value field. value MAY be a string or a sub-string, the latter of which start with, ends with or is encapsulated in wildcard (\%) characters.
+
+
+
+
+type MAY be present. If set, the returned data set will be filtered on the attribute type field. type MAY be a string or a sub-string, the latter of which start with, ends with or is encapsulated in wildcard (\%) characters. The list of valid attribute types is described in the MISP core format in the attribute type section.
+
+
+
+
+category MAY be present. If set, the returned data set will be filtered on the attribute category field. category MAY be a string or a sub-string, the latter of which start with, ends with or is encapsulated in wildcard (\%) characters. The list of valid categories is described in the MISP core format in the attribute type section.
+
+A sample query to lookup for the last 30 days of indicators in the Financial fraud category and output in CSV format:
+
+
+
+
+
+
+
+
+MISP threat intelligence instances might contain sensitive or confidential information. Adequate access control and encryption measures shall be implemented to ensure the confidentiality of the threat intelligence.
+
+Adversaries might include malicious content in MISP queries. Implementation MUST consider the input of malicious inputs beside the
+standard threat information that might already include malicious intended inputs.
+
+
+
+
+The authors wish to thank all the MISP community who are supporting the creation
+of open standards in threat intelligence sharing. A special thank to all the committees which
+triggered us to come with better and flexible format.
+
+
+
+
+
+
+
+
+
+
+
+
+ MISP core format
+
+
+
+
+
+
+ MISP Project - Malware Information Sharing Platform and Threat Sharing
+
+
+
+
+
+
+
+
diff --git a/misp-taxonomy-format/Makefile b/misp-taxonomy-format/Makefile
index 210eb88..8a7138f 100644
--- a/misp-taxonomy-format/Makefile
+++ b/misp-taxonomy-format/Makefile
@@ -1,4 +1,4 @@
-MMARK:=/home/adulau/git/mmark/mmark/mmark -xml2 -page
+MMARK:=mmark -xml2 -page
docs = $(wildcard *.md)
diff --git a/misp-taxonomy-format/raw.md b/misp-taxonomy-format/raw.md
index 404a399..fe09d48 100755
--- a/misp-taxonomy-format/raw.md
+++ b/misp-taxonomy-format/raw.md
@@ -40,8 +40,8 @@
This document describes the MISP taxonomy format which describes a simple JSON format to
represent machine tags (also called triple tags) vocabularies. A public directory of common vocabularies
-MISP taxonomies is available and relies on the MISP taxonomy format. MISP taxonomies are used to classify
-cyber security events, threats or indicators.
+called MISP taxonomies is available and relies on the MISP taxonomy format. MISP taxonomies are used to classify
+cyber security events, threats, suspicious events, or indicators.
{mainmatter}
@@ -422,6 +422,254 @@ A taxonomies array describes the taxonomy available with the description, name a
~~~~
+## Available taxonomies in the public directory
+
+The public directory of MISP taxonomies [@?MISP-T] contains a variety of taxonomy in various fields such as:
+
+
+CERT-XLM:
+: CERT-XLM Security Incident Classification.
+
+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.
+
+PAP:
+: The Permissible Actions Protocol - or short: PAP - was designed to indicate how the received information can be used.
+
+access-method:
+: The access method used to remotely access a system.
+
+accessnow:
+: Access Now classification to classify an issue (such as security, human rights, youth rights).
+
+action-taken:
+: Action taken in the case of a security incident (CSIRT perspective).
+
+admiralty-scale:
+: The Admiralty Scale (also called the NATO System) is used to rank the reliability of a source and the credibility of an information.
+
+adversary:
+: An overview and description of the adversary infrastructure.
+
+ais-marking:
+: AIS Marking Schema implementation is maintained by the National Cybersecurity and Communication Integration Center (NCCIC) of the U.S. Department of Homeland Security (DHS)
+
+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.
+
+approved-category-of-action:
+: A pre-approved category of action for indicators being shared with partners (MIMIC).
+
+binary-class:
+: Custom taxonomy for types of binary file.
+
+cccs:
+: Internal taxonomy for CCCS.
+
+circl:
+: CIRCL Taxonomy is a simple scheme for incident classification and area topic where the incident took place.
+
+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.
+
+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.
+
+csirt_case_classification:
+: FIRST CSIRT Case Classification.
+
+cssa:
+: The CSSA agreed sharing taxonomy.
+
+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
+
+ddos:
+: Distributed Denial of Service - or short: DDoS - taxonomy supports the description of Denial of Service attacks and especially the types they belong too.
+
+de-vs:
+: Taxonomy for the handling of protectively marked information in MISP with German (DE) Government classification markings (VS)
+
+dhs-ciip-sectors:
+: DHS critical sectors as described in https://www.dhs.gov/critical-infrastructure-sectors.
+
+diamond-model:
+: The Diamond Model for Intrusion Analysis, a phase-based model developed by Lockheed Martin, aims to help categorise and identify the stage of an attack.
+
+dni-ism:
+: ISM (Information Security Marking Metadata) V13 as described by DNI.gov (Director of National Intelligence - US).
+
+domain-abuse:
+: Taxonomy to tag domain names used for cybercrime.
+
+economical-impact:
+: Economical impact is a taxonomy to describe the financial impact as positive or negative gain to the tagged information.
+
+ecsirt:
+: eCSIRT incident classification Appendix C of the eCSIRT EU project including IntelMQ updates.
+
+enisa:
+: ENISA Threat Taxonomy - A tool for structuring threat information as published in https://www.enisa.europa.eu/topics/threat-risk-management/threats-and-trends/enisa-threat-landscape/etl2015/enisa-threat-taxonomy-a-tool-for-structuring-threat-information
+
+estimative-language:
+: Estimative language - including likelihood or probability of event based on the Intelligence Community Directive 203 (ICD 203) (6.2.(a)) and JP 2-0, Joint Intelligence.
+
+eu-marketop-and-publicadmin:
+: Market operators and public administrations that must comply to some notifications requirements under EU NIS directive.
+
+eu-nis-sector-and-subsectors:
+: Sectors and sub sectors as identified by the NIS Directive.
+
+euci:
+: EU classified information (EUCI) means any information or material designated by a EU security classification, the unauthorised disclosure of which could cause varying degrees of prejudice to the interests of the European Union or of one or more of the Member States as described in CELEX 32013D0488
+
+europol-event:
+: EUROPOL type of events taxonomy.
+
+europol-incident:
+: EUROPOL class of incident taxonomy.
+
+event-assessment:
+: A series of assessment predicates describing the event assessment performed to make judgement(s) under a certain level of uncertainty.
+
+event-classification:
+: Event Classification.
+
+exercise:
+: Exercise is a taxonomy to describe if the information is part of one or more cyber or crisis exercise
+
+false-positive:
+: This taxonomy aims to ballpark the expected amount of false positives.
+
+file-type:
+: List of known file types.
+
+fpf:
+: The Future of Privacy Forum (FPF) [visual guide to practical de-identification](https://fpf.org/2016/04/25/a-visual-guide-to-practical-data-de-identification/) taxonomy is used to evaluate the degree of identifiability of personal data and the types of pseudonymous data, de-identified data and anonymous data. The work of FPF is licensed under a creative commons attribution 4.0 international license.
+
+fr-classif:
+: French gov information classification system.
+
+gdpr:
+: Taxonomy related to the REGULATION (EU) 2016/679 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)
+
+gsma-attack-category:
+: Taxonomy used by GSMA for their information sharing program with telco describing the attack categories
+
+gsma-fraud:
+: Taxonomy used by GSMA for their information sharing program with telco describing the various aspects of fraud
+
+gsma-network-technology:
+: Taxonomy used by GSMA for their information sharing program with telco describing the types of infrastructure. WiP
+
+honeypot-basic:
+: Christian Seifert, Ian Welch, Peter Komisarczuk, ‘Taxonomy of Honeypots’, Technical Report CS-TR-06/12, VICTORIA UNIVERSITY OF WELLINGTON, School of Mathematical and Computing Sciences, June 2006, http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-06/CS-TR-06-12.pdf
+
+iep:
+: Forum of Incident Response and Security Teams (FIRST) Information Exchange Policy (IEP) framework.
+
+ifx-vetting:
+: The IFX taxonomy is used to categorise information (MISP events and attributes) to aid in the intelligence vetting process
+
+incident-disposition:
+: How an incident is classified in its process to be resolved. The taxonomy is inspired from NASA Incident Response and Management Handbook.
+
+infoleak:
+: A taxonomy describing information leaks and especially information classified as being potentially leaked.
+
+information-security-indicators:
+: Information security indicators have been standardized by the ETSI Industrial Specification Group (ISG) ISI. These indicators provide the basis to switch from a qualitative to a quantitative culture in IT Security Scope of measurements: External and internal threats (attempt and success), user's deviant behaviours, nonconformities and/or vulnerabilities (software, configuration, behavioural, general security framework). ETSI GS ISI 001-1 (V1.1.2): ISI Indicators
+
+interception-method:
+: The interception method used to intercept traffic.
+
+kill-chain:
+: Cyber Kill Chain from Lockheed Martin as described in Intelligence-Driven Computer Network Defense Informed by Analysis of Adversary Campaigns and Intrusion Kill Chains.
+
+maec-delivery-vectors:
+: Vectors used to deliver malware based on MAEC 5.0
+
+maec-malware-behavior:
+: Malware behaviours based on MAEC 5.0
+
+maec-malware-capabilities:
+: Malware Capabilities based on MAEC 5.0
+
+maec-malware-obfuscation-methods:
+: Obfuscation methods used by malware based on MAEC 5.0
+
+malware_classification:
+: Malware classification based on a SANS whitepaper about malware.
+
+misp:
+: Internal MISP taxonomy.
+
+monarc-threat:
+: MONARC threat taxonomy.
+
+ms-caro-malware:
+: Malware Type and Platform classification based on Microsoft's implementation of the Computer Antivirus Research Organization (CARO) Naming Scheme and Malware Terminology.
+
+ms-caro-malware-full:
+: Malware Type and Platform classification based on Microsoft's implementation of the Computer Antivirus Research Organization (CARO) Naming Scheme and Malware Terminology.
+
+nato:
+: Marking of Classified and Unclassified materials as described by the North Atlantic Treaty Organization, NATO.
+
+nis:
+: NIS Cybersecurity Incident Taxonomy.
+
+open_threat:
+: Open Threat Taxonomy v1.1 base on James Tarala of SANS ref. - http://www.auditscripts.com/resources/open_threat_taxonomy_v1.1a.pdf
+
+osint:
+: Open Source Intelligence - Classification (MISP taxonomies).
+
+passivetotal:
+: Tags for RiskIQ's passivetotal service
+
+pentest:
+: Penetration test (pentest) classification.
+
+priority-level:
+: After an incident is scored, it is assigned a priority level. The six levels listed below are aligned with NCCIC, DHS, and the CISS to help provide a common lexicon when discussing incidents. This priority assignment drives NCCIC urgency, pre-approved incident response offerings, reporting requirements, and recommendations for leadership escalation. Generally, incident priority distribution should follow a similar pattern to the graph below. Based on https://www.us-cert.gov/NCCIC-Cyber-Incident-Scoring-System.
+
+rsit:
+: Reference Security Incident Classification Taxonomy.
+
+rt_event_status:
+: Status of events used in Request Tracker.
+
+runtime-packer:
+: Runtime or software packer used to combine compressed data with the decompression code. The decompression code can add additional obfuscations mechanisms including polymorphic-packer or other obfuscation techniques. This taxonomy lists all the known or official packer used for legitimate use or for packing malicious binaries.
+
+smart-airports-threats:
+: Threat taxonomy in the scope of securing smart airports by ENISA.
+
+stealth_malware:
+: Classification based on malware stealth techniques.
+
+stix-ttp:
+: Representation of the behavior or modus operandi of cyber adversaries (a.k.a TTP) as normalized in STIX
+
+targeted-threat-index:
+: The Targeted Threat Index is a metric for assigning an overall threat ranking score to email messages that deliver malware to a victim’s computer. The TTI metric was first introduced at SecTor 2013 by Seth Hardy as part of the talk “RATastrophe: Monitoring a Malware Menagerie” along with Katie Kleemola and Greg Wiseman.
+
+tlp:
+: The Traffic Light Protocol - or short: TLP - was designed with the objective to create a favorable classification scheme for sharing sensitive information while keeping the control over its distribution at the same time. Extended with TLP:EX:CHR.
+
+tor:
+: Taxonomy to describe Tor network infrastructure
+
+veris:
+: Vocabulary for Event Recording and Incident Sharing (VERIS).
+
+vocabulaire-des-probabilites-estimatives:
+: Vocabulaire des probabilités estimatives
+
+workflow:
+: Workflow support language is a common language to support intelligence analysts to perform their analysis on data and information.
+
# JSON Schema
The JSON Schema [@?JSON-SCHEMA] below defines the structure of the MISP taxonomy document
diff --git a/misp-taxonomy-format/raw.md.txt b/misp-taxonomy-format/raw.md.txt
index 29a02f3..36f735a 100644
--- a/misp-taxonomy-format/raw.md.txt
+++ b/misp-taxonomy-format/raw.md.txt
@@ -5,7 +5,7 @@
Network Working Group A. Dulaunoy
Internet-Draft A. Iklody
Intended status: Informational CIRCL
-Expires: March 8, 2018 September 4, 2017
+Expires: June 2, 2018 November 29, 2017
MISP taxonomy format
@@ -15,10 +15,10 @@ Abstract
This document describes the MISP taxonomy format which describes a
simple JSON format to represent machine tags (also called triple
- tags) vocabularies. A public directory of common vocabularies MISP
- taxonomies is available and relies on the MISP taxonomy format. MISP
- taxonomies are used to classify cyber security events, threats or
- indicators.
+ tags) vocabularies. A public directory of common vocabularies called
+ MISP taxonomies is available and relies on the MISP taxonomy format.
+ MISP taxonomies are used to classify cyber security events, threats,
+ suspicious events, or indicators.
Status of This Memo
@@ -28,14 +28,14 @@ Status of This Memo
Internet-Drafts are working documents of the Internet Engineering
Task Force (IETF). Note that other groups may also distribute
working documents as Internet-Drafts. The list of current Internet-
- Drafts is at http://datatracker.ietf.org/drafts/current/.
+ Drafts is at https://datatracker.ietf.org/drafts/current/.
Internet-Drafts are draft documents valid for a maximum of six months
and may be updated, replaced, or obsoleted by other documents at any
time. It is inappropriate to use Internet-Drafts as reference
material or to cite them other than as "work in progress."
- This Internet-Draft will expire on March 8, 2018.
+ This Internet-Draft will expire on June 2, 2018.
Copyright Notice
@@ -44,7 +44,7 @@ Copyright Notice
This document is subject to BCP 78 and the IETF Trust's Legal
Provisions Relating to IETF Documents
- (http://trustee.ietf.org/license-info) in effect on the date of
+ (https://trustee.ietf.org/license-info) in effect on the date of
publication of this document. Please review these documents
carefully, as they describe your rights and restrictions with respect
to this document. Code Components extracted from this document must
@@ -53,9 +53,9 @@ Copyright Notice
-Dulaunoy & Iklody Expires March 8, 2018 [Page 1]
+Dulaunoy & Iklody Expires June 2, 2018 [Page 1]
-Internet-Draft MISP taxonomy format September 2017
+Internet-Draft MISP taxonomy format November 2017
the Trust Legal Provisions and are provided without warranty as
@@ -78,12 +78,14 @@ Table of Contents
4. Sample Taxonomy in MISP taxonomy format . . . . . . . . . . . 7
4.1. Admiralty Scale Taxonomy . . . . . . . . . . . . . . . . 7
4.2. Open Source Intelligence - Classification . . . . . . . . 9
- 5. JSON Schema . . . . . . . . . . . . . . . . . . . . . . . . . 11
- 6. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 14
- 7. References . . . . . . . . . . . . . . . . . . . . . . . . . 14
- 7.1. Normative References . . . . . . . . . . . . . . . . . . 14
- 7.2. Informative References . . . . . . . . . . . . . . . . . 15
- Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 15
+ 4.3. Available taxonomies in the public directory . . . . . . 11
+ 5. JSON Schema . . . . . . . . . . . . . . . . . . . . . . . . . 19
+ 6. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 22
+ 7. References . . . . . . . . . . . . . . . . . . . . . . . . . 22
+ 7.1. Normative References . . . . . . . . . . . . . . . . . . 22
+ 7.2. Informative References . . . . . . . . . . . . . . . . . 22
+ 7.3. URIs . . . . . . . . . . . . . . . . . . . . . . . . . . 23
+ Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 23
1. Introduction
@@ -103,17 +105,18 @@ Table of Contents
information to users and machines. Machine tags are also known as
triple tags due to their format.
+
+
+
+
+Dulaunoy & Iklody Expires June 2, 2018 [Page 2]
+
+Internet-Draft MISP taxonomy format November 2017
+
+
In the MISP taxonomy context, machine tags help analysts to classify
their cybersecurity events, indicators or threats. MISP taxonomies
can be used for classification, filtering, triggering actions or
-
-
-
-Dulaunoy & Iklody Expires March 8, 2018 [Page 2]
-
-Internet-Draft MISP taxonomy format September 2017
-
-
visualisation depending on their use in threat intelligence platforms
such as MISP [MISP-P].
@@ -155,21 +158,22 @@ Internet-Draft MISP taxonomy format September 2017
applicable at event, user or org level. The type is represented as
an array containing one or more type and SHOULD be present. If a
type is not mentioned, by default, the taxonomy is applicable at
- event level only.
+ event level only. An exclusive boolean property MAY be present and
+ defines at namespace level if the predicates are mutually exclusive.
+
+
+
+
+
+Dulaunoy & Iklody Expires June 2, 2018 [Page 3]
+
+Internet-Draft MISP taxonomy format November 2017
+
predicates defines all the predicates available in the namespace
defined. predicates is represented as an array of JSON objects.
predicates MUST be present and MUST at least content one element.
-
-
-
-
-Dulaunoy & Iklody Expires March 8, 2018 [Page 3]
-
-Internet-Draft MISP taxonomy format September 2017
-
-
values defines all the values for each predicate in the namespace
defined. values SHOULD be present.
@@ -181,7 +185,8 @@ Internet-Draft MISP taxonomy format September 2017
present. value is represented as a string and describes the predicate
value. The predicate value MUST not contain spaces or colons.
expanded is represented as a string and describes the human-readable
- version of the predicate value.
+ version of the predicate value. An exclusive property MAY be present
+ and defines at namespace level if the values are mutually exclusive.
2.3. values
@@ -216,14 +221,9 @@ Internet-Draft MISP taxonomy format September 2017
-
-
-
-
-
-Dulaunoy & Iklody Expires March 8, 2018 [Page 4]
+Dulaunoy & Iklody Expires June 2, 2018 [Page 4]
-Internet-Draft MISP taxonomy format September 2017
+Internet-Draft MISP taxonomy format November 2017
"predicates": [
@@ -259,6 +259,10 @@ Internet-Draft MISP taxonomy format September 2017
SHOULD use the decimal value provided to support scoring or
filtering.
+ The decimal range for numerical_value SHOULD use a range from 0 up to
+ 100. The range is recommended to support common mathematical
+ properties among taxonomies.
+
Example use of the numerical_value in the MISP confidence level:
@@ -273,13 +277,9 @@ Internet-Draft MISP taxonomy format September 2017
-
-
-
-
-Dulaunoy & Iklody Expires March 8, 2018 [Page 5]
+Dulaunoy & Iklody Expires June 2, 2018 [Page 5]
-Internet-Draft MISP taxonomy format September 2017
+Internet-Draft MISP taxonomy format November 2017
{
@@ -333,9 +333,9 @@ Internet-Draft MISP taxonomy format September 2017
-Dulaunoy & Iklody Expires March 8, 2018 [Page 6]
+Dulaunoy & Iklody Expires June 2, 2018 [Page 6]
-Internet-Draft MISP taxonomy format September 2017
+Internet-Draft MISP taxonomy format November 2017
3.1. Sample Manifest
@@ -389,9 +389,9 @@ Internet-Draft MISP taxonomy format September 2017
-Dulaunoy & Iklody Expires March 8, 2018 [Page 7]
+Dulaunoy & Iklody Expires June 2, 2018 [Page 7]
-Internet-Draft MISP taxonomy format September 2017
+Internet-Draft MISP taxonomy format November 2017
"value": "a",
@@ -445,9 +445,9 @@ Internet-Draft MISP taxonomy format September 2017
-Dulaunoy & Iklody Expires March 8, 2018 [Page 8]
+Dulaunoy & Iklody Expires June 2, 2018 [Page 8]
-Internet-Draft MISP taxonomy format September 2017
+Internet-Draft MISP taxonomy format November 2017
{
@@ -501,9 +501,9 @@ Internet-Draft MISP taxonomy format September 2017
-Dulaunoy & Iklody Expires March 8, 2018 [Page 9]
+Dulaunoy & Iklody Expires June 2, 2018 [Page 9]
-Internet-Draft MISP taxonomy format September 2017
+Internet-Draft MISP taxonomy format November 2017
"predicate": "source-type"
@@ -557,9 +557,9 @@ Internet-Draft MISP taxonomy format September 2017
-Dulaunoy & Iklody Expires March 8, 2018 [Page 10]
+Dulaunoy & Iklody Expires June 2, 2018 [Page 10]
-Internet-Draft MISP taxonomy format September 2017
+Internet-Draft MISP taxonomy format November 2017
"description": "30% Probably not"
@@ -601,6 +601,423 @@ Internet-Draft MISP taxonomy format September 2017
}
+4.3. Available taxonomies in the public directory
+
+ The public directory of MISP taxonomies [MISP-T] contains a variety
+ of taxonomy in various fields such as:
+
+ CERT-XLM:
+ CERT-XLM Security Incident Classification.
+
+ DML:
+
+
+
+Dulaunoy & Iklody Expires June 2, 2018 [Page 11]
+
+Internet-Draft MISP taxonomy format November 2017
+
+
+ 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.
+
+ PAP:
+ The Permissible Actions Protocol - or short: PAP - was designed to
+ indicate how the received information can be used.
+
+ access-method:
+ The access method used to remotely access a system.
+
+ accessnow:
+ Access Now classification to classify an issue (such as security,
+ human rights, youth rights).
+
+ action-taken:
+ Action taken in the case of a security incident (CSIRT
+ perspective).
+
+ admiralty-scale:
+ The Admiralty Scale (also called the NATO System) is used to rank
+ the reliability of a source and the credibility of an information.
+
+ adversary:
+ An overview and description of the adversary infrastructure.
+
+ ais-marking:
+ AIS Marking Schema implementation is maintained by the National
+ Cybersecurity and Communication Integration Center (NCCIC) of the
+ U.S. Department of Homeland Security (DHS)
+
+ 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.
+
+ approved-category-of-action:
+ A pre-approved category of action for indicators being shared with
+ partners (MIMIC).
+
+ binary-class:
+ Custom taxonomy for types of binary file.
+
+ cccs:
+ Internal taxonomy for CCCS.
+
+
+
+Dulaunoy & Iklody Expires June 2, 2018 [Page 12]
+
+Internet-Draft MISP taxonomy format November 2017
+
+
+ circl:
+ CIRCL Taxonomy is a simple scheme for incident classification and
+ area topic where the incident took place.
+
+ 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.
+
+ 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.
+
+ csirt_case_classification:
+ FIRST CSIRT Case Classification.
+
+ cssa:
+ The CSSA agreed sharing taxonomy.
+
+ 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.
+
+ ddos:
+ Distributed Denial of Service - or short: DDoS - taxonomy supports
+ the description of Denial of Service attacks and especially the
+ types they belong too.
+
+ de-vs:
+ Taxonomy for the handling of protectively marked information in
+ MISP with German (DE) Government classification markings (VS)
+
+ dhs-ciip-sectors:
+ DHS critical sectors as described in .
+
+ diamond-model:
+ The Diamond Model for Intrusion Analysis, a phase-based model
+ developed by Lockheed Martin, aims to help categorise and identify
+ the stage of an attack.
+
+ dni-ism:
+ ISM (Information Security Marking Metadata) V13 as described by
+ DNI.gov (Director of National Intelligence - US).
+
+
+
+Dulaunoy & Iklody Expires June 2, 2018 [Page 13]
+
+Internet-Draft MISP taxonomy format November 2017
+
+
+ domain-abuse:
+ Taxonomy to tag domain names used for cybercrime.
+
+ economical-impact:
+ Economical impact is a taxonomy to describe the financial impact
+ as positive or negative gain to the tagged information.
+
+ ecsirt:
+ eCSIRT incident classification Appendix C of the eCSIRT EU project
+ including IntelMQ updates.
+
+ enisa:
+ ENISA Threat Taxonomy - A tool for structuring threat information
+ as published in
+
+ estimative-language:
+ Estimative language - including likelihood or probability of event
+ based on the Intelligence Community Directive 203 (ICD 203)
+ (6.2.(a)) and JP 2-0, Joint Intelligence.
+
+ eu-marketop-and-publicadmin:
+ Market operators and public administrations that must comply to
+ some notifications requirements under EU NIS directive.
+
+ eu-nis-sector-and-subsectors:
+ Sectors and sub sectors as identified by the NIS Directive.
+
+ euci:
+ EU classified information (EUCI) means any information or material
+ designated by a EU security classification, the unauthorised
+ disclosure of which could cause varying degrees of prejudice to
+ the interests of the European Union or of one or more of the
+ Member States as described in CELEX 32013D0488
+
+ europol-event:
+ EUROPOL type of events taxonomy.
+
+ europol-incident:
+ EUROPOL class of incident taxonomy.
+
+ event-assessment:
+ A series of assessment predicates describing the event assessment
+ performed to make judgement(s) under a certain level of
+ uncertainty.
+
+ event-classification:
+
+
+
+Dulaunoy & Iklody Expires June 2, 2018 [Page 14]
+
+Internet-Draft MISP taxonomy format November 2017
+
+
+ Event Classification.
+
+ exercise:
+ Exercise is a taxonomy to describe if the information is part of
+ one or more cyber or crisis exercise
+
+ false-positive:
+ This taxonomy aims to ballpark the expected amount of false
+ positives.
+
+ file-type:
+ List of known file types.
+
+ fpf:
+ The Future of Privacy Forum (FPF) visual guide to practical de-
+ identification [1] taxonomy is used to evaluate the degree of
+ identifiability of personal data and the types of pseudonymous
+ data, de-identified data and anonymous data. The work of FPF is
+ licensed under a creative commons attribution 4.0 international
+ license.
+
+ fr-classif:
+ French gov information classification system.
+
+ gdpr:
+ Taxonomy related to the REGULATION (EU) 2016/679 OF THE EUROPEAN
+ PARLIAMENT AND OF THE COUNCIL on the protection of natural persons
+ with regard to the processing of personal data and on the free
+ movement of such data, and repealing Directive 95/46/EC (General
+ Data Protection Regulation)
+
+ gsma-attack-category:
+ Taxonomy used by GSMA for their information sharing program with
+ telco describing the attack categories
+
+ gsma-fraud:
+ Taxonomy used by GSMA for their information sharing program with
+ telco describing the various aspects of fraud
+
+ gsma-network-technology:
+ Taxonomy used by GSMA for their information sharing program with
+ telco describing the types of infrastructure. WiP
+
+ honeypot-basic:
+ Christian Seifert, Ian Welch, Peter Komisarczuk, 'Taxonomy of
+ Honeypots', Technical Report CS-TR-06/12, VICTORIA UNIVERSITY OF
+ WELLINGTON, School of Mathematical and Computing Sciences, June
+
+
+
+
+Dulaunoy & Iklody Expires June 2, 2018 [Page 15]
+
+Internet-Draft MISP taxonomy format November 2017
+
+
+ 2006,
+
+ iep:
+ Forum of Incident Response and Security Teams (FIRST) Information
+ Exchange Policy (IEP) framework.
+
+ ifx-vetting:
+ The IFX taxonomy is used to categorise information (MISP events
+ and attributes) to aid in the intelligence vetting process
+
+ incident-disposition:
+ How an incident is classified in its process to be resolved. The
+ taxonomy is inspired from NASA Incident Response and Management
+ Handbook.
+
+ infoleak:
+ A taxonomy describing information leaks and especially information
+ classified as being potentially leaked.
+
+ information-security-indicators:
+ Information security indicators have been standardized by the ETSI
+ Industrial Specification Group (ISG) ISI. These indicators
+ provide the basis to switch from a qualitative to a quantitative
+ culture in IT Security Scope of measurements: External and
+ internal threats (attempt and success), user's deviant behaviours,
+ nonconformities and/or vulnerabilities (software, configuration,
+ behavioural, general security framework). ETSI GS ISI 001-1
+ (V1.1.2): ISI Indicators
+
+ interception-method:
+ The interception method used to intercept traffic.
+
+ kill-chain:
+ Cyber Kill Chain from Lockheed Martin as described in
+ Intelligence-Driven Computer Network Defense Informed by Analysis
+ of Adversary Campaigns and Intrusion Kill Chains.
+
+ maec-delivery-vectors:
+ Vectors used to deliver malware based on MAEC 5.0
+
+ maec-malware-behavior:
+ Malware behaviours based on MAEC 5.0
+
+ maec-malware-capabilities:
+ Malware Capabilities based on MAEC 5.0
+
+ maec-malware-obfuscation-methods:
+
+
+
+Dulaunoy & Iklody Expires June 2, 2018 [Page 16]
+
+Internet-Draft MISP taxonomy format November 2017
+
+
+ Obfuscation methods used by malware based on MAEC 5.0
+
+ malware_classification:
+ Malware classification based on a SANS whitepaper about malware.
+
+ misp:
+ Internal MISP taxonomy.
+
+ monarc-threat:
+ MONARC threat taxonomy.
+
+ ms-caro-malware:
+ Malware Type and Platform classification based on Microsoft's
+ implementation of the Computer Antivirus Research Organization
+ (CARO) Naming Scheme and Malware Terminology.
+
+ ms-caro-malware-full:
+ Malware Type and Platform classification based on Microsoft's
+ implementation of the Computer Antivirus Research Organization
+ (CARO) Naming Scheme and Malware Terminology.
+
+ nato:
+ Marking of Classified and Unclassified materials as described by
+ the North Atlantic Treaty Organization, NATO.
+
+ nis:
+ NIS Cybersecurity Incident Taxonomy.
+
+ open_threat:
+ Open Threat Taxonomy v1.1 base on James Tarala of SANS ref. -
+
+
+ osint:
+ Open Source Intelligence - Classification (MISP taxonomies).
+
+ passivetotal:
+ Tags for RiskIQ's passivetotal service
+
+ pentest:
+ Penetration test (pentest) classification.
+
+ priority-level:
+ After an incident is scored, it is assigned a priority level. The
+ six levels listed below are aligned with NCCIC, DHS, and the CISS
+ to help provide a common lexicon when discussing incidents. This
+ priority assignment drives NCCIC urgency, pre-approved incident
+ response offerings, reporting requirements, and recommendations
+
+
+
+Dulaunoy & Iklody Expires June 2, 2018 [Page 17]
+
+Internet-Draft MISP taxonomy format November 2017
+
+
+ for leadership escalation. Generally, incident priority
+ distribution should follow a similar pattern to the graph below.
+ Based on .
+
+ rsit:
+ Reference Security Incident Classification Taxonomy.
+
+ rt_event_status:
+ Status of events used in Request Tracker.
+
+ runtime-packer:
+ Runtime or software packer used to combine compressed data with
+ the decompression code. The decompression code can add additional
+ obfuscations mechanisms including polymorphic-packer or other
+ obfuscation techniques. This taxonomy lists all the known or
+ official packer used for legitimate use or for packing malicious
+ binaries.
+
+ smart-airports-threats:
+ Threat taxonomy in the scope of securing smart airports by ENISA.
+
+ stealth_malware:
+ Classification based on malware stealth techniques.
+
+ stix-ttp:
+ Representation of the behavior or modus operandi of cyber
+ adversaries (a.k.a TTP) as normalized in STIX
+
+ targeted-threat-index:
+ The Targeted Threat Index is a metric for assigning an overall
+ threat ranking score to email messages that deliver malware to a
+ victim's computer. The TTI metric was first introduced at SecTor
+ 2013 by Seth Hardy as part of the talk "RATastrophe: Monitoring a
+ Malware Menagerie" along with Katie Kleemola and Greg Wiseman.
+
+ tlp:
+ The Traffic Light Protocol - or short: TLP - was designed with the
+ objective to create a favorable classification scheme for sharing
+ sensitive information while keeping the control over its
+ distribution at the same time. Extended with TLP:EX:CHR.
+
+ tor:
+ Taxonomy to describe Tor network infrastructure
+
+ veris:
+ Vocabulary for Event Recording and Incident Sharing (VERIS).
+
+
+
+
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+
+ vocabulaire-des-probabilites-estimatives:
+ Vocabulaire des probabilites estimatives
+
+ workflow:
+ Workflow support language is a common language to support
+ intelligence analysts to perform their analysis on data and
+ information.
+
5. JSON Schema
The JSON Schema [JSON-SCHEMA] below defines the structure of the MISP
@@ -610,14 +1027,6 @@ Internet-Draft MISP taxonomy format September 2017
{
"$schema": "http://json-schema.org/schema#",
-
-
-
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-Internet-Draft MISP taxonomy format September 2017
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-
"title": "Validator for misp-taxonomies",
"id": "https://www.github.com/MISP/misp-taxonomies/schema.json",
"defs": {
@@ -649,6 +1058,14 @@ Internet-Draft MISP taxonomy format September 2017
}
}
},
+
+
+
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"values": {
"type": "array",
"uniqueItems": true,
@@ -666,14 +1083,6 @@ Internet-Draft MISP taxonomy format September 2017
"required": [
"predicate"
]
-
-
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}
},
"predicates": {
@@ -698,10 +1107,21 @@ Internet-Draft MISP taxonomy format September 2017
"value": {
"type": "string"
},
+ "exclusive": {
+ "type": "boolean"
+ },
"required": [
"value"
]
}
+
+
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}
}
},
@@ -720,16 +1140,11 @@ Internet-Draft MISP taxonomy format September 2017
"namespace": {
"type": "string"
},
+ "exclusive": {
+ "type": "boolean"
+ },
"type": {
"type": "array",
-
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"uniqueItems": true,
"items": {
"type": "string",
@@ -755,6 +1170,14 @@ Internet-Draft MISP taxonomy format September 2017
"$ref": "#/defs/values"
}
},
+
+
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"required": [
"namespace",
"description",
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[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
- DOI 10.17487/RFC2119, March 1997, .
-
-
-
-
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+ DOI 10.17487/RFC2119, March 1997,
+ .
[RFC4627] Crockford, D., "The application/json Media Type for
JavaScript Object Notation (JSON)", RFC 4627,
- DOI 10.17487/RFC4627, July 2006, .
+ DOI 10.17487/RFC4627, July 2006,
+ .
7.2. Informative References
[JSON-SCHEMA]
"JSON Schema: A Media Type for Describing JSON Documents",
- 2016, .
+ 2016,
+ .
[machine-tags]
"Machine tags", 2007,
.
- [MISP-P] MISP, , "MISP Project - Malware Information Sharing
- Platform and Threat Sharing", .
+ [MISP-P] MISP, "MISP Project - Malware Information Sharing Platform
+ and Threat Sharing", .
- [MISP-T] MISP, , "MISP Taxonomies - shared and common vocabularies
- of tags", .
+ [MISP-T] MISP, "MISP Taxonomies - shared and common vocabularies of
+ tags", .
+
+
+
+
+
+
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+7.3. URIs
+
+ [1] https://fpf.org/2016/04/25/a-visual-guide-to-practical-data-de-
+ identification/
Authors' Addresses
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