207 lines
11 KiB
Python
Executable File
207 lines
11 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) 2015-2022 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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import os
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import sys
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skip_list = ['death-possibilities', 'poison-taxonomy']
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taxonomies = []
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# Get our current directory from file location
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thisDir = os.path.dirname(__file__)
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argParser = argparse.ArgumentParser(description='Dump Machine Tags (Triple Tags) from MISP taxonomies', epilog='Available taxonomies are {0}'.format(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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argParser.add_argument('-n', default=False, help='Show only the specified namespace')
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argParser.add_argument('--disable-skip-list', default=False, action='store_true', help='disable default skip list')
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args = argParser.parse_args()
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if args.disable_skip_list:
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skip_list = ''
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for folder in os.listdir(os.path.join(thisDir, '../')):
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if os.path.isfile(os.path.join(thisDir, '../', folder, 'machinetag.json')):
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if folder in skip_list:
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continue
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taxonomies.append(folder)
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taxonomies.sort()
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doc = ''
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if args.a:
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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"
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doc = doc + ":toc: right\n"
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doc = doc + ":toclevels: 1\n"
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doc = doc + ":icons: font\n"
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doc = doc + ":images-cdn: https://raw.githubusercontent.com/MISP/MISP/2.4/INSTALL/logos/\n"
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doc = doc + ":images-misp: https://www.misp-project.org/assets/images/\n"
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doc = doc + "= MISP taxonomies and classification as machine tags\n\n"
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doc = doc + "= Introduction\n"
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doc = doc + "\nimage::{images-cdn}misp-logo.png[MISP logo]\n"
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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"
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doc = doc + ""
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doc = "{} {} {} {}".format(doc, "\nTaxonomies that can be used in MISP (2.4) and other information sharing tool and expressed in Machine Tags (Triple Tags).",
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"A machine tag is composed of a namespace (MUST), a predicate (MUST) and an (OPTIONAL) value.",
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"Machine tags are often called triple tag due to their format.\n")
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doc = doc + "The following document is generated from the machine-readable JSON describing the https://github.com/MISP/misp-taxonomies[MISP taxonomies]."
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doc = doc + "\n\n"
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doc = doc + "<<<\n"
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doc = doc + dedication
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doc = doc + "<<<\n"
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doc = doc + "= MISP taxonomies\n"
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doc = doc + "\n\n"
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if args.n:
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del taxonomies[:]
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taxonomies.append(args.n)
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def asciidoc(content=False, adoc=doc, t='title', toplevel=False):
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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 = "{}\n{}{} {}{}{} {}".format(content, 'NOTE: ', namespace, 'namespace available in JSON format at https://github.com/MISP/misp-taxonomies/blob/main/',
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namespace, '/machinetag.json[*this location*]. The JSON format can be freely reused in your application',
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'or automatically enabled in https://www.github.com/MISP/MISP[MISP] taxonomy.')
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elif t == 'description' and toplevel is True:
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content = "\n{} \n".format(content)
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elif t == 'description' and toplevel is False:
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try:
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(n, value) = content.split(":", 1)
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content = "\n{} \n".format(value)
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except:
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content = "\n{} \n".format(content)
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elif t == 'numerical_value':
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(n, value) = content.split(":", 1)
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content = "\nAssociated numerical value=\"{}\" \n".format(value)
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elif t == 'exclusive':
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(n, value) = content.split(":", 1)
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if n:
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content = "\nIMPORTANT: Exclusive flag set which means the values or predicate below must be set exclusively.\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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if taxonomy in skip_list:
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sys.stderr.write(f"Skip {taxonomy}")
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continue
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filename = os.path.join(thisDir, "../", 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', toplevel = True)
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if t.get('exclusive'):
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=t['exclusive']), adoc=doc, t='exclusive')
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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 predicate.get('description'):
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['description']), adoc=doc, t='description')
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if predicate.get('exclusive'):
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['exclusive']), adoc=doc, t='exclusive')
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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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if predicate.get('numerical_value'):
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['numerical_value']), adoc=doc, t='description')
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if predicate.get('exclusive'):
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=predicate['exclusive']), adoc=adoc, t='exclusive')
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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 and 'expanded' in v:
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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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if 'description' in v:
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=v['description']), adoc=doc, t='description')
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if v.get('numerical_value'):
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doc = asciidoc(content=machineTag(namespace=namespace, predicate=v['numerical_value']), adoc=doc, t='numerical_value')
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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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if'expanded' in v:
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print("--> " + machineTag(namespace=namespace, predicate=expanded, value=v['expanded']))
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with open('../mapping/mapping.json') as mapping:
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m = json.load(mapping)
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output = '\n= Mapping of taxonomies\n'
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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')
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for value in sorted(m.keys()):
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output = '{}{} **{}**{}{}\n'.format(output,'\n.Mapping table - ',value,'\n|===\n|',value)
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for mapped in m[value]['values']:
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output = '{}|{}\n'.format(output,mapped)
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output = '{}|===\n'.format(output)
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doc = doc + output
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if args.a:
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print(doc)
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