misp-taxonomies/tools/machinetag.py

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#!/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 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
taxonomies = ['admiralty-scale','tlp', 'circl', 'veris', 'ecsirt', 'dni-ism', 'nato']
argParser = argparse.ArgumentParser(description='Dump Machine Tags (Triple Tags) from MISP taxonomies')
argParser.add_argument('-e', action='store_true', help='Including expanded tags')
args = argParser.parse_args()
def machineTag(namespace=False, predicate=False, value=None):
if namespace is False or predicate is False:
return None
if value is None:
return ('{0}:{1}'.format(namespace, predicate))
else:
return ('{0}:{1}=\"{2}\"'.format(namespace, predicate, value))
for taxonomy in taxonomies:
filename = os.path.join("../", taxonomy, "machinetag.json")
with open(filename) as fp:
t = json.load(fp)
namespace = t['namespace']
for predicate in t['predicates']:
if t['values'] is None:
print (machineTag(namespace=namespace, predicate=predicate['value']))
if args.e:
print ("--> " + machineTag(namespace=namespace, predicate=predicate['expanded']))
else:
for e in t['values']:
if e['predicate'] == predicate['value']:
if 'expanded' in predicate:
expanded = predicate['expanded']
for v in e['entry']:
print (machineTag(namespace=namespace, predicate=e['predicate'], value=v['value']))
if args.e:
print ("--> " + machineTag(namespace=namespace, predicate=expanded, value=v['expanded']))