121 lines
6.2 KiB
Python
Executable File
121 lines
6.2 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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#
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# Python script parsing the MISP taxonomies expressed in Machine Tags (Triple
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# Tags) to list all valid tags from a specific taxonomy.
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#
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# Copyright (c) 2015 Alexandre Dulaunoy - a@foo.be
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#
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# Redistribution and use in source and binary forms, with or without modification,
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# are permitted provided that the following conditions are met:
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#
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# 1. Redistributions of source code must retain the above copyright notice,
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# this list of conditions and the following disclaimer.
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# 2. Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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# IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
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# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
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# OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
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# OF THE POSSIBILITY OF SUCH DAMAGE.
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import json
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import os.path
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import argparse
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taxonomies = ['admiralty-scale', 'adversary', 'tlp', 'circl', 'veris', 'ecsirt', 'dni-ism', 'nato', 'euci', 'osint', 'first_csirt_case_classification', 'malware', 'de-vs']
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argParser = argparse.ArgumentParser(description='Dump Machine Tags (Triple Tags) from MISP taxonomies')
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argParser.add_argument('-e', action='store_true', help='Include expanded tags')
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argParser.add_argument('-a', action='store_true', help='Generate asciidoctor document from MISP taxonomies')
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argParser.add_argument('-v', action='store_true', help='Include descriptions')
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args = argParser.parse_args()
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doc = ''
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if args.a:
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doc = doc + ":toc: right\n"
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doc = doc + ":icons: font\n"
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doc = doc + ":images-cdn: https://raw.githubusercontent.com/MISP/MISP/master/INSTALL/logos/\n"
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doc = doc + "= MISP taxonomies and classification as machine tags\n\n"
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doc = doc + "Generated from https://github.com/MISP/misp-taxonomies.\n\n"
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doc = doc + "\nimage::{images-cdn}misp-logo.png[MISP logo]\n"
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doc = doc + "Taxonomies 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"
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doc = doc + "\n\n"
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def asciidoc(content=False, adoc=doc, t='title'):
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if not args.a:
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return False
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adoc = adoc + "\n"
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if t == 'title':
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content = '==== ' + content
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elif t == 'predicate':
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content = '=== ' + content
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elif t == 'namespace':
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content = '== ' + content + '\n'
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content = 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.'
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elif t == 'description':
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content = '\n'+content+'\n'
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adoc = adoc + content
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return adoc
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def machineTag(namespace=False, predicate=False, value=None):
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if namespace is False or predicate is False:
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return None
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if value is None:
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return (u'{0}:{1}'.format(namespace, predicate))
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else:
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return (u'{0}:{1}=\"{2}\"'.format(namespace, predicate, value))
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for taxonomy in taxonomies:
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filename = os.path.join("../", taxonomy, "machinetag.json")
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with open(filename) as fp:
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t = json.load(fp)
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namespace = t['namespace']
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if t.get('expanded'):
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expanded_namespace = t['expanded']
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else:
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expanded_namespace = namespace
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if args.a:
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doc = asciidoc(content=t['namespace'], adoc=doc, t='namespace')
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doc = asciidoc(content=t['description'], adoc=doc, t='description')
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if args.v:
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print ('{0}'.format(t['description']))
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for predicate in t['predicates']:
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if args.a:
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doc = asciidoc(content=predicate['value'], adoc=doc, t='predicate')
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if t.get('values') is None:
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if args.a:
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['value']), adoc=doc)
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['expanded']), adoc=doc, t='description')
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if predicate.get('description'):
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['description']), adoc=doc, t='description')
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else:
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print (machineTag(namespace=namespace, predicate=predicate['value']))
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if args.e:
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print ("--> " + machineTag(namespace=expanded_namespace, predicate=predicate['expanded']))
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if predicate.get('description'):
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print ("--> " + predicate['description'])
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else:
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for e in t['values']:
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if e['predicate'] == predicate['value']:
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if 'expanded' in predicate:
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expanded = predicate['expanded']
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for v in e['entry']:
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if args.a:
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=e['predicate'], value=v['value']), adoc=doc)
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=v['expanded']), adoc=doc, t='description')
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else:
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print (machineTag(namespace=namespace, predicate=e['predicate'], value=v['value']))
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if args.e:
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print ("--> " + machineTag(namespace=namespace, predicate=expanded, value=v['expanded']))
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if args.a:
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print (doc.encode('utf-8'))
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