mirror of https://github.com/MISP/misp-galaxy
a tool to convert MISP Galaxy Cluster into an asciidoctor document
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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import json
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import argparse
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thisDir = os.path.dirname(__file__)
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clusters = []
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pathClusters = os.path.join(thisDir, '../clusters')
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for f in os.listdir(pathClusters):
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if '.json' in f:
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clusters.append(f)
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clusters.sort()
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argParser = argparse.ArgumentParser(description='Generate documentation from MISP galaxy clusters', epilog='Available galaxy clusters are {0}'.format(clusters))
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argParser.add_argument('-v', action='store_true', help='Verbose mode')
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args = argParser.parse_args()
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def header(adoc=False):
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if adoc is False:
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return False
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doc = adoc
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doc = doc + ":toc: right\n"
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doc = doc + ":toclevels: 1\n"
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doc = doc + ":toc-title: MISP Galaxy Cluster\n"
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doc = doc + ":icons: font\n"
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doc = doc + ":sectanchors:\n"
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doc = doc + ":sectlinks:\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 + "\n= MISP Galaxy Clusters\n\n"
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doc = doc + "Generated from https://github.com/MISP/misp-galaxy.\n\n"
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doc = doc + "\nimage::{images-cdn}misp-logo.png[MISP logo]\n"
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doc = "{}{}".format(doc, "\nMISP galaxy is a simple method to express a large object called cluster that can be attached to MISP events or attributes. A cluster can be composed of one or more elements. Elements are expressed as key-values. There are default vocabularies available in MISP galaxy but those can be overwritten, replaced or updated as you wish. Existing clusters and vocabularies can be used as-is or as a template. MISP distribution can be applied to each cluster to permit a limited or broader distribution scheme.\n")
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doc = doc + "\n\n"
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return doc
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def asciidoc(content=False, adoc=None, t='title',title=''):
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adoc = adoc + "\n"
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output = ""
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if t == 'title':
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output = '== ' + content
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elif t == 'info':
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output = "\n{}.\n\n{} {}\n".format(content, 'NOTE: ', title)
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elif t == 'author':
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output = '\nauthors:: {}\n'.format(' - '.join(content))
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elif t == 'value':
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output = '=== ' + content
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elif t == 'description':
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output = '\n{}\n'.format(content)
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elif t == 'meta':
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if 'synonyms' in content:
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for s in content['synonyms']:
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output = "{}\n* {}\n".format(output,s)
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output = '{} is also known as:\n{}\n'.format(title,output)
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if 'refs' in content:
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output = '{}{}'.format(output,'\n.Table References\n|===\n|Links\n')
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for r in content['refs']:
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output = '{}|{}[{}]\n'.format(output, r, r)
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output = '{}{}'.format(output,'|===\n')
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adoc = adoc + output
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return adoc
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adoc = ""
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print (header(adoc=adoc))
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for cluster in clusters:
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fullPathClusters = os.path.join(pathClusters, cluster)
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with open(fullPathClusters) as fp:
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c = json.load(fp)
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title = c['name']
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adoc = asciidoc(content=title, adoc=adoc, t='title')
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adoc = asciidoc(content=c['description'], adoc=adoc, t='info', title=title)
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if 'authors' in c:
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adoc = asciidoc(content=c['authors'], adoc=adoc, t='author', title=title)
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for v in c['values']:
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adoc = asciidoc(content=v['value'], adoc=adoc, t='value', title=title)
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if 'description' in v:
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adoc = asciidoc(content=v['description'], adoc=adoc, t='description')
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if 'meta' in v:
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adoc = asciidoc(content=v['meta'], adoc=adoc, t='meta', title=v['value'])
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print (adoc)
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