#!/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) 2015-2017 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 taxonomies = [] # Get our current directory from file location thisDir = os.path.dirname(__file__) for folder in os.listdir(os.path.join(thisDir, '../')): if os.path.isfile(os.path.join(thisDir, '../', folder, 'machinetag.json')): taxonomies.append(folder) taxonomies.sort() 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') args = argParser.parse_args() 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'): 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/master/', 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': try: (n, value) = content.split(":", 1) content = "\n{} \n".format(value) except: content = "\n{} \n".format(content) 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: 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') 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 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') 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') 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)