misp-taxonomies/tools/machinetag.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Python script parsing the MISP taxonomies expressed in Machine Tags (Triple
# Tags) to list all valid tags from a specific taxonomy.
#
# Copyright (c) 2015-2022 Alexandre Dulaunoy - a@foo.be
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
#    1. Redistributions of source code must retain the above copyright notice,
#       this list of conditions and the following disclaimer.
#    2. Redistributions in binary form must reproduce the above copyright notice,
#       this list of conditions and the following disclaimer in the documentation
#       and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
# IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
# OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
# OF THE POSSIBILITY OF SUCH DAMAGE.

import json
import os.path
import argparse
import os
import sys

skip_list = ['death-possibilities', 'poison-taxonomy']
taxonomies = []

# Get our current directory from file location
thisDir = os.path.dirname(__file__)

argParser = argparse.ArgumentParser(description='Dump Machine Tags (Triple Tags) from MISP taxonomies', epilog='Available taxonomies are {0}'.format(taxonomies))
argParser.add_argument('-e', action='store_true', help='Include expanded tags')
argParser.add_argument('-a', action='store_true', help='Generate asciidoctor document from MISP taxonomies')
argParser.add_argument('-v', action='store_true', help='Include descriptions')
argParser.add_argument('-n', default=False, help='Show only the specified namespace')
argParser.add_argument('--disable-skip-list', default=False, action='store_true', help='disable default skip list')
args = argParser.parse_args()

if args.disable_skip_list:
    skip_list = ''

for folder in os.listdir(os.path.join(thisDir, '../')):
    if os.path.isfile(os.path.join(thisDir, '../', folder, 'machinetag.json')):
        if folder in skip_list:
            continue
        taxonomies.append(folder)

taxonomies.sort()


doc = ''
if args.a:
    dedication = "\n[dedication]\n== Funding and Support\nThe MISP project is financially and resource supported by https://www.circl.lu/[CIRCL Computer Incident Response Center Luxembourg ].\n\nimage:{images-misp}logo.png[CIRCL logo]\n\nA CEF (Connecting Europe Facility) funding under CEF-TC-2016-3 - Cyber Security has been granted from 1st September 2017 until 31th August 2019 as ***Improving MISP as building blocks for next-generation information sharing***.\n\nimage:{images-misp}en_cef.png[CEF funding]\n\nIf you are interested to co-fund projects around MISP, feel free to get in touch with us.\n\n"
    doc = doc + ":toc: right\n"
    doc = doc + ":toclevels: 1\n"
    doc = doc + ":icons: font\n"
    doc = doc + ":images-cdn: https://raw.githubusercontent.com/MISP/MISP/2.4/INSTALL/logos/\n"
    doc = doc + ":images-misp: https://www.misp-project.org/assets/images/\n"
    doc = doc + "= MISP taxonomies and classification as machine tags\n\n"
    doc = doc + "= Introduction\n"
    doc = doc + "\nimage::{images-cdn}misp-logo.png[MISP logo]\n"
    doc = doc + "The MISP threat sharing platform is a free and open source software helping information sharing of threat intelligence including cyber security indicators, financial fraud or counter-terrorism information. The MISP project includes multiple sub-projects to support the operational requirements of analysts and improve the overall quality of information shared.\n\n"
    doc = doc + ""
    doc = "{} {} {} {}".format(doc, "\nTaxonomies that can be used in MISP (2.4) and other information sharing tool and 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.\n")
    doc = doc + "The following document is generated from the machine-readable JSON describing the https://github.com/MISP/misp-taxonomies[MISP taxonomies]."
    doc = doc + "\n\n"
    doc = doc + "<<<\n"
    doc = doc + dedication
    doc = doc + "<<<\n"
    doc = doc + "= MISP taxonomies\n"
    doc = doc + "\n\n"

if args.n:
    del taxonomies[:]
    taxonomies.append(args.n)


def asciidoc(content=False, adoc=doc, t='title', toplevel=False):
    if not args.a:
        return False
    adoc = adoc + "\n"
    if t == 'title':
        content = '==== ' + content
    elif t == 'predicate':
        content = '=== ' + content
    elif t == 'namespace':
        content = '== ' + content + '\n'
        content = "{}\n{}{} {}{}{} {}".format(content, 'NOTE: ', namespace, 'namespace available in JSON format at https://github.com/MISP/misp-taxonomies/blob/main/',
                                                namespace, '/machinetag.json[*this location*]. The JSON format can be freely reused in your application',
                                                'or automatically enabled in https://www.github.com/MISP/MISP[MISP] taxonomy.')
    elif t == 'description' and toplevel is True:
        content = "\n{} \n".format(content)
    elif t == 'description' and toplevel is False:
        try:
            (n, value) = content.split(":", 1)
            content = "\n{} \n".format(value)
        except:
            content = "\n{} \n".format(content)
    elif t == 'numerical_value':
        (n, value) = content.split(":", 1)
        content = "\nAssociated numerical value=\"{}\" \n".format(value)
    elif t == 'exclusive':
        (n, value) = content.split(":", 1)
        if n:
            content = "\nIMPORTANT: Exclusive flag set which means the values or predicate below must be set exclusively.\n"
    adoc = adoc + content
    return adoc


def machineTag(namespace=False, predicate=False, value=None):

    if namespace is False or predicate is False:
        return None
    if value is None:
        return (u'{0}:{1}'.format(namespace, predicate))
    else:
        return (u'{0}:{1}=\"{2}\"'.format(namespace, predicate, value))


for taxonomy in taxonomies:
    if taxonomy in skip_list:
        sys.stderr.write(f"Skip {taxonomy}")
        continue
    filename = os.path.join(thisDir, "../", taxonomy, "machinetag.json")
    with open(filename) as fp:
        t = json.load(fp)
    namespace = t['namespace']
    if t.get('expanded'):
        expanded_namespace = t['expanded']
    else:
        expanded_namespace = namespace
    if args.a:
        doc = asciidoc(content=t['namespace'], adoc=doc, t='namespace')
        doc = asciidoc(content=t['description'], adoc=doc, t='description', toplevel = True)
        if t.get('exclusive'):
                doc = asciidoc(content=machineTag(namespace=namespace, predicate=t['exclusive']), adoc=doc, t='exclusive')
    if args.v:
        print('{0}'.format(t['description']))
    for predicate in t['predicates']:
        if args.a:
            doc = asciidoc(content=predicate['value'], adoc=doc, t='predicate')
            if predicate.get('description'):
                doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['description']), adoc=doc, t='description')
            if predicate.get('exclusive'):
                doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['exclusive']), adoc=doc, t='exclusive')

        if t.get('values') is None:
            if args.a:
                doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['value']), adoc=doc)
                doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['expanded']), adoc=doc, t='description')
                if predicate.get('description'):
                    doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['description']), adoc=doc, t='description')
                if predicate.get('numerical_value'):
                    doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['numerical_value']), adoc=doc, t='description')
                if predicate.get('exclusive'):
                    doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['exclusive']), adoc=adoc, t='exclusive')
            else:
                print(machineTag(namespace=namespace, predicate=predicate['value']))
            if args.e:
                print("--> " + machineTag(namespace=expanded_namespace, predicate=predicate['expanded']))
                if predicate.get('description'):
                    print("--> " + predicate['description'])
        else:
            for e in t['values']:
                if e['predicate'] == predicate['value']:
                    if 'expanded' in predicate:
                        expanded = predicate['expanded']
                    for v in e['entry']:
                        if args.a and 'expanded' in v:
                            doc = asciidoc(content=machineTag(namespace=namespace, predicate=e['predicate'], value=v['value']), adoc=doc)
                            doc = asciidoc(content=machineTag(namespace=namespace, predicate=v['expanded']), adoc=doc, t='description')
                            if 'description' in v:
                                doc = asciidoc(content=machineTag(namespace=namespace, predicate=v['description']), adoc=doc, t='description')
                            if v.get('numerical_value'):
                                 doc = asciidoc(content=machineTag(namespace=namespace, predicate=v['numerical_value']), adoc=doc, t='numerical_value')
                        else:
                            print(machineTag(namespace=namespace, predicate=e['predicate'], value=v['value']))
                        if args.e:
                            if'expanded' in v:
                                print("--> " + machineTag(namespace=namespace, predicate=expanded, value=v['expanded']))

with open('../mapping/mapping.json') as mapping:
    m = json.load(mapping)
    output = '\n= Mapping of taxonomies\n'
    output = '{}{}'.format(output, 'Analysts relying on taxonomies don\'t always know the appropriate namespace to use but know which value to use for classification. The MISP mapping taxonomy allows to map a single classification into a series of machine-tag synonyms.\n')
    for value in sorted(m.keys()):
        output = '{}{} **{}**{}{}\n'.format(output,'\n.Mapping table - ',value,'\n|===\n|',value)
        for mapped in m[value]['values']:
            output = '{}|{}\n'.format(output,mapped)
        output = '{}|===\n'.format(output)
    doc = doc + output

if args.a:
    print(doc)