68 lines
3.1 KiB
Python
Executable File
68 lines
3.1 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','tlp', 'circl', 'veris', 'ecsirt', 'dni-ism']
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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='Including expanded tags')
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args = argParser.parse_args()
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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 ('{0}:{1}'.format(namespace, predicate))
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else:
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return ('{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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for predicate in t['predicates']:
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if t['values'] is None:
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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=namespace, predicate=predicate['expanded']))
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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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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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