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DISARMframeworks/CODE/generate_DISARM_pages.py

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''' Manage DISARM metadata
The DISARM github repo at https://github.com/cDISARMFoundation/DISARMFrameworks serves multiple purposes:
* Holds the master copy of DISARM (in excel file DISARM_FRAMEWORK_MASTER.xlsx)
* Holds the master copy of DISARM data (in excel file DISARM_DATA_MASTER.xlsx)
* Holds notes on each DISARM object (in excel file DISARM_comments.xlsx)
* Holds a list of suggested changes to DISARM, in the github repo's issues list
* Provides a set of indexed views of DISARM objects, to make exploring DISARM easier
The file in this code updates the github repo contents, after the master spreadsheet is updated.
It creates this:
* A html page for each DISARM TTP object (creator and counter), if it doesn't already exist.
If a html page does exist, update the metadata on it, and preserve any hand-created
notes below the metadata area in it.
* A html page for each DISARM phase, tactic, and task.
* A html page for each incident used to create DISARM
* A grid view of all the DISARM creator techniques
* A grid view of all the DISARM counter techniques
* Indexes for the counter techniques, by tactic, resource and metatag
Here are the file inputs and outputs associated with that work:
Reads 1 excel file: MASTERDATA_DIR + 'DISARM_FRAMEWORKS_MASTER.xlsx' with sheets:
* phases
* techniques
* tasks
* incidents
* incidenttechniques
* tactics
* countermeasures
* actortypes
* resources
* responsetypes
Reads template files from directory page_templates:
* template_phase.md
* template_tactic.md
* template_task.md
* template_technique.md
* template_incident.md
* template_counter.md
Creates markdown files:
* GENERATED_PAGES_DIR + disarm_blue_framework.md
* GENERATED_PAGES_DIR + disarm_red_framework.md
* GENERATED_PAGES_DIR + disarm_red_framework_clickable.md
* GENERATED_PAGES_DIR + incidents_list.md
* GENERATED_PAGES_DIR + counter_tactic_counts.md
* GENERATED_PAGES_DIR + metatechniques_by_responsetype.md
* GENERATED_PAGES_DIR + resources_by_responsetype.md
* GENERATED_PAGES_DIR + tactics_by_responsetype.md
* GENERATED_PAGES_DIR + counter_tactics/*counters.md
* GENERATED_PAGES_DIR + metatechniques/*.md
* GENERATED_PAGES_DIR + resources_needed/*.md
Updates markdown files:
* GENERATED_PAGES_DIR + phases/*.md
* GENERATED_PAGES_DIR + tactics/*.md
* GENERATED_PAGES_DIR + techniques/*.md
* GENERATED_PAGES_DIR + incidents/*.md
* GENERATED_PAGES_DIR + tasks/*.md
* GENERATED_PAGES_DIR + counters/*.md
Creates CSVs
* GENERATED_FILES_DIR + generated_csvs/counters_tactics_table.csv
* GENERATED_FILES_DIR + generated_csvs/techniques_tactics_table.csv
todo:
* add all framework comments to the repo issues list
* add clickable blue framework
* add detections
'''
import pandas as pd
import numpy as np
import os
from sklearn.feature_extraction.text import CountVectorizer
GENERATED_PAGES_DIR = '../generated_pages/'
GENERATED_PAGES_FUDGE = '../' + GENERATED_PAGES_DIR
GENERATED_FILES_DIR = '../generated_files/'
MASTERDATA_DIR = '../DISARM_MASTER_DATA/'
class Disarm:
def __init__(self,
frameworkfile = MASTERDATA_DIR + 'DISARM_FRAMEWORKS_MASTER.xlsx',
datafile = MASTERDATA_DIR + 'DISARM_DATA_MASTER.xlsx',
commentsfile = MASTERDATA_DIR + 'DISARM_COMMENTS_MASTER.xlsx'):
# Load metadata from file
metadata = {}
xlsx = pd.ExcelFile(frameworkfile)
for sheetname in xlsx.sheet_names:
metadata[sheetname] = xlsx.parse(sheetname)
metadata[sheetname].replace(np.NaN, '', inplace=True)
xlsx = pd.ExcelFile(datafile)
for sheetname in xlsx.sheet_names:
metadata[sheetname] = xlsx.parse(sheetname)
metadata[sheetname].replace(np.NaN, '', inplace=True)
# Create individual tables and dictionaries
self.df_phases = metadata['phases']
self.df_frameworks = metadata['frameworks']
self.df_techniques = metadata['techniques']
self.df_tasks = metadata['tasks']
self.df_incidents = metadata['incidents']
self.df_urls = metadata['urls']
#self.df_urls['url_id'] = self.df_urls['url_id'].str.rstrip # strip trailing spaces from urls to allow merge to work
self.df_externalgroups = metadata['externalgroups']
self.df_tools = metadata['tools']
self.df_examples = metadata['examples']
self.df_counters = metadata['countermeasures'].sort_values('disarm_id')
self.df_counters[['tactic_id', 'tactic_name']] = self.df_counters['tactic'].str.split(' ', n=1, expand=True)
self.df_counters[['metatechnique_id', 'metatechnique_name']] = self.df_counters['metatechnique'].str.split(' ', n=1, expand=True)
self.df_detections = metadata['detections']
self.df_detections[['tactic_id', 'tactic_name']] = self.df_detections['tactic'].str.split(' ', n=1, expand=True)
# self.df_detections[['metatechnique_id', 'metatechnique_name']] = self.df_detections['metatechnique'].str.split(' ', n=1, expand=True) #FIXIT
self.df_actortypes = metadata['actortypes']
self.df_resources = metadata['resources']
self.df_responsetypes = metadata['responsetypes']
self.df_metatechniques = metadata['metatechniques']
self.it = self.create_incident_technique_crosstable(metadata['incidenttechniques'])
self.df_tactics = metadata['tactics']
self.df_playbooks = metadata['playbooks']
self.df_sectors = metadata['sectors']
# Add columns containing lists of techniques and counters to the tactics dataframe
self.df_techniques_per_tactic = self.df_techniques.groupby('tactic_id')['disarm_id'].apply(list).reset_index().rename({'disarm_id':'technique_ids'}, axis=1)
self.df_counters_per_tactic = self.df_counters.groupby('tactic_id')['disarm_id'].apply(list).reset_index().rename({'disarm_id':'counter_ids'}, axis=1)
self.df_tactics = self.df_tactics.merge(self.df_techniques_per_tactic, left_on='disarm_id', right_on='tactic_id', how='left').fillna('').drop('tactic_id', axis=1)
self.df_tactics = self.df_tactics.merge(self.df_counters_per_tactic, left_on='disarm_id', right_on='tactic_id', how='left').fillna('').drop('tactic_id', axis=1)
# Add simple dictionaries (id -> name) for objects
self.phases = self.make_object_dictionary(self.df_phases)
self.tactics = self.make_object_dictionary(self.df_tactics)
self.techniques = self.make_object_dictionary(self.df_techniques)
self.counters = self.make_object_dictionary(self.df_counters)
self.metatechniques = self.make_object_dictionary(self.df_metatechniques)
self.responsetypes = self.make_object_dictionary(self.df_responsetypes)
self.actortypes = self.make_object_dictionary(self.df_actortypes)
self.resources = self.make_object_dictionary(self.df_resources)
self.sectors = self.make_object_dictionary(self.df_sectors)
# Create the data table for each framework file
self.num_tactics = len(self.df_tactics)
# Create counters and detections cross-tables
self.cross_counterid_techniqueid = self.create_cross_table(self.df_counters[['disarm_id', 'techniques']],
'techniques', 'technique', '\n')
self.cross_counterid_resourceid = self.create_cross_table(self.df_counters[['disarm_id', 'resources_needed']],
'resources_needed', 'resource', ',')
self.cross_counterid_actortypeid = self.create_cross_table(self.df_counters[['disarm_id', 'actortypes']],
'actortypes', 'actortype', ',')
self.cross_detectionid_techniqueid = self.create_cross_table(self.df_detections[['disarm_id', 'techniques']],
'techniques', 'technique', '\n')
self.cross_detectionid_resourceid = self.create_cross_table(self.df_detections[['disarm_id', 'resources_needed']],
'resources_needed', 'resource', ',')
self.cross_detectionid_actortypeid = self.create_cross_table(self.df_detections[['disarm_id', 'actortypes']],
'actortypes', 'actortype', ',')
self.cross_incidentid_urls = self.create_cross_table(self.df_incidents[['disarm_id', 'urls']],
'urls', 'url', ' ')
def create_incident_technique_crosstable(self, it_metadata):
# Generate full cross-table between incidents and techniques
it = it_metadata
it.index=it['disarm_id']
it = it['technique_ids'].str.split(',').apply(lambda x: pd.Series(x)).stack().reset_index(level=1, drop=True).to_frame('technique_id').reset_index().merge(it.drop('disarm_id', axis=1).reset_index()).drop('technique_ids', axis=1)
it = it.merge(self.df_incidents[['disarm_id','name']],
left_on='incident_id', right_on='disarm_id',
suffixes=['','_incident']).drop('incident_id', axis=1)
it = it.merge(self.df_techniques[['disarm_id','name']],
left_on='technique_id', right_on='disarm_id',
suffixes=['','_technique']).drop('technique_id', axis=1)
return(it)
def make_object_dictionary(self, df):
return(pd.Series(df.name.values,index=df.disarm_id).to_dict())
def create_cross_table(self, df, col, newcol, divider=','):
''' Convert a column with multiple values per cell into a crosstable
# Thanks https://stackoverflow.com/questions/17116814/pandas-how-do-i-split-text-in-a-column-into-multiple-rows?noredirect=1
'''
crosstable = df.join(df[col]
.str.split(divider, expand=True).stack()
.reset_index(drop=True,level=1)
.rename(newcol)).drop(col, axis=1)
crosstable = crosstable[crosstable[newcol].notnull()]
crosstable[newcol+'_id'] = crosstable[newcol].str.split(' ').str[0]
crosstable.drop(newcol, axis=1, inplace=True)
return crosstable
def create_technique_incidents_string(self, techniqueid):
incidentstr = '''
| Incident | Descriptions given for this incident |
| -------- | -------------------- |
'''
incirow = '| [{0} {1}]({2}incidents/{0}.md) | {3} |\n'
its = self.it[self.it['disarm_id_technique']==techniqueid]
for index, row in its[['disarm_id_incident', 'name_incident']].drop_duplicates().sort_values('disarm_id_incident').iterrows():
techstring = ', '.join(its[its['disarm_id_incident']==row['disarm_id_incident']]['name'].to_list())
incidentstr += incirow.format(row['disarm_id_incident'], row['name_incident'],
GENERATED_PAGES_FUDGE, techstring)
return incidentstr
# def create_technique_counters_string(self, technique_id):
# table_string = '''
#| Counters | Response types |
#| -------- | -------------- |
#'''
# technique_counters = self.cross_counterid_techniqueid[self.cross_counterid_techniqueid['technique_id']==technique_id]
# technique_counters = pd.merge(technique_counters, self.df_counters[['disarm_id', 'name', 'responsetype']])
# row_string = '| [{0} {1}]({2}counters/{0}.md) | {3} |\n'
# for index, row in technique_counters.sort_values('disarm_id').iterrows():
# table_string += row_string.format(row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE, row['responsetype'])
# return table_string
def create_incident_urls_string(self, incidentid):
urlsstr = '''
| Reference | Pub Date | Authors | Org | Archive |
| --------- | -------- | ------- | --- | ------- |
'''
incidentid_urls = self.cross_incidentid_urls[self.cross_incidentid_urls['disarm_id']==incidentid]
incidentid_urls = pd.merge(incidentid_urls, self.df_urls[['url_id', 'pub_date', 'authors', 'org', 'archive_link']])
urlsrow = '| [{0}]({0}) | {1} | {2} | {3} | [{4}]({4}) |\n'
for index, row in incidentid_urls.iterrows():
urlsstr += urlsrow.format(row['url_id'], row['pub_date'], row['authors'], row['org'], row['archive_link'])
return urlsstr
#def create_incident_urls_string(self, incidentid, pub_date, authors, org, archive_link):
# urlsstr = '''
#| Reference | Pub Date | Authors | Org | Archive |
#| --------- | -------- | ------- | --- | ------- |
#'''
# urlsrow = '| [{0}]({0}) | {1} | {2} | {3} | [{4}]({4}) |\n'
# incidentid_urls = self.cross_incidentid_urls[self.cross_incidentid_urls['disarm_id']==incidentid]
# for index, row in incidentid_urls.iterrows():
# urlsstr += urlsrow.format(row['url_id'], pub_date, authors, org, archive_link)
# return urlsstr
def create_incident_techniques_string(self, incidentid):
techstr = '''
| Technique | Description given for this incident |
| --------- | ------------------------- |
'''
techrow = '| [{0} {1}]({2}techniques/{0}.md) | {3} {4} |\n'
techlist = self.it[self.it['disarm_id_incident'] == incidentid]
for index, row in techlist.sort_values('disarm_id_technique').iterrows():
techstr += techrow.format(row['disarm_id_technique'], row['name_technique'],
GENERATED_PAGES_FUDGE, row['disarm_id'], row['name'])
return techstr
def create_tactic_tasks_string(self, tactic_id):
table_string = '''
| Tasks |
| ----- |
'''
tactic_tasks = self.df_tasks[self.df_tasks['tactic_id']==tactic_id]
task_string = '| [{0} {1}]({2}tasks/{0}.md) |\n'
for index, row in tactic_tasks.sort_values('disarm_id').iterrows():
table_string += task_string.format(row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE)
return table_string
def create_tactic_techniques_string(self, tactic_id):
table_string = '''
| Techniques |
| ---------- |
'''
tactic_techniques = self.df_techniques[self.df_techniques['tactic_id']==tactic_id]
row_string = '| [{0} {1}]({2}techniques/{0}.md) |\n'
for index, row in tactic_techniques.sort_values('disarm_id').iterrows():
table_string += row_string.format(row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE)
return table_string
def create_object_counters_string(self, objectcolumn, object_id):
table_string = '''
| Counters | Response types |
| -------- | -------------- |
'''
object_counters = self.df_counters[self.df_counters[objectcolumn]==object_id]
row_string = '| [{0} {1}]({2}counters/{0}.md) | {3} |\n'
for index, row in object_counters.sort_values(['responsetype', 'disarm_id']).iterrows():
table_string += row_string.format(row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE, row['responsetype'])
return table_string
def create_technique_counters_string(self, technique_id):
table_string = '''
| Counters | Response types |
| -------- | -------------- |
'''
technique_counters = self.cross_counterid_techniqueid[self.cross_counterid_techniqueid['technique_id']==technique_id]
technique_counters = pd.merge(technique_counters, self.df_counters[['disarm_id', 'name', 'responsetype']])
row_string = '| [{0} {1}]({2}counters/{0}.md) | {3} |\n'
for index, row in technique_counters.sort_values('disarm_id').iterrows():
table_string += row_string.format(row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE, row['responsetype'])
return table_string
def create_counter_actortypes_string(self, counter_id):
table_string = '''
| Actor types | Sectors |
| ----------- | ------- |
'''
counter_actortypes = self.cross_counterid_actortypeid[self.cross_counterid_actortypeid['disarm_id']==counter_id]
counter_actortypes = pd.merge(counter_actortypes, self.df_actortypes[['disarm_id', 'name', 'sector_ids']], left_on='actortype_id', right_on='disarm_id')
row_string = '| [{0} {1}]({2}actortypes/{0}.md) | {3} |\n'
for index, row in counter_actortypes.sort_values('actortype_id').iterrows():
table_string += row_string.format(row['actortype_id'], row['name'], GENERATED_PAGES_FUDGE, row['sector_ids'])
return table_string
def create_actortype_counters_string(self, actortype_id):
table_string = '''
| Counters | Response types |
| -------- | -------------- |
'''
actortype_counters = self.cross_counterid_actortypeid[self.cross_counterid_actortypeid['actortype_id']==actortype_id]
actortype_counters = pd.merge(actortype_counters, self.df_counters[['disarm_id', 'name', 'responsetype']])
row_string = '| [{0} {1}]({2}counters/{0}.md) | {3} |\n'
for index, row in actortype_counters.sort_values('disarm_id').iterrows():
table_string += row_string.format(row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE, row['responsetype'])
return table_string
def create_resource_counters_string(self, resource_id):
table_string = '''
| Counters | Response types |
| -------- | -------------- |
'''
resource_counters = self.cross_counterid_resourceid[self.cross_counterid_resourceid['resource_id']==resource_id]
resource_counters = pd.merge(resource_counters, self.df_counters[['disarm_id', 'name', 'responsetype']])
row_string = '| [{0} {1}]({2}counters/{0}.md) | {3} |\n'
for index, row in resource_counters.sort_values('disarm_id').iterrows():
table_string += row_string.format(row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE, row['responsetype'])
return table_string
def create_counter_tactics_string(self, counter_id):
table_string = '''
| Counters these Tactics |
| ---------------------- |
'''
# tactic_counters = self.df_counters[self.df_counters['tactic_id']==tactic_id]
# row_string = '| {0} | [{1} {2}]({3}counters/{1}.md) |\n'
# for index, row in tactic_counters.sort_values(['responsetype', 'disarm_id']).iterrows():
# table_string += row_string.format(row['responsetype'], row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE)
return table_string
def create_counter_techniques_string(self, counter_id):
table_string = '''
| Counters these Techniques |
| ------------------------- |
'''
counter_techniques = self.cross_counterid_techniqueid[self.cross_counterid_techniqueid['disarm_id']==counter_id]
counter_techniques = pd.merge(counter_techniques, self.df_techniques[['disarm_id', 'name']].rename(columns={'disarm_id': 'technique_id'}))
row_string = '| [{0} {1}]({2}techniques/{0}.md) |\n'
for index, row in counter_techniques.sort_values('disarm_id').iterrows():
table_string += row_string.format(row['technique_id'], row['name'], GENERATED_PAGES_FUDGE)
return table_string
def create_counter_incidents_string(self, counter_id):
table_string = '''
| Seen in incidents |
| ----------------- |
'''
# tactic_counters = self.df_counters[self.df_counters['tactic_id']==tactic_id]
# row_string = '| {0} | [{1} {2}]({3}counters/{1}.md) |\n'
# for index, row in tactic_counters.sort_values(['responsetype', 'disarm_id']).iterrows():
# table_string += row_string.format(row['responsetype'], row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE)
return table_string
def write_object_index_to_file(self, objectname, objectcols, dfobject, outfile):
''' Write HTML version of incident list to markdown file
Assumes that dfobject has columns named 'disarm_id' and 'name'
'''
html = '''# DISARM {}:
<table border="1">
<tr>
'''.format(objectname.capitalize())
# Create header row
html += '<th>{}</th>\n'.format('disarm_id')
html += ''.join(['<th>{}</th>\n'.format(col) for col in objectcols])
html += '</tr>\n'
# Add row for each object
for index, row in dfobject[dfobject['name'].notnull()].iterrows():
html += '<tr>\n'
html += '<td><a href="{0}/{1}.md">{1}</a></td>\n'.format(objectname, row['disarm_id'])
html += ''.join(['<td>{}</td>\n'.format(row[col]) for col in objectcols])
html += '</tr>\n'
html += '</table>\n'
# Write file
with open(outfile, 'w') as f:
f.write(html)
print('updated {}'.format(outfile))
return
def write_object_indexes_to_file(self):
''' Create an index file for each object type.
'''
self.write_object_index_to_file(
'response types', ['name', 'summary'],
self.df_responsetypes, GENERATED_PAGES_DIR + 'responsetype_index.md')
self.write_object_index_to_file(
'detections', ['name', 'summary', 'metatechnique', 'tactic', 'responsetype'],
self.df_detections, GENERATED_PAGES_DIR + 'detections_index.md')
return
def update_markdown_files(self):
''' Create or update all the editable markdown files in the repo
Reads in any user-written text before updating the header information above it
Does this for phase, tactic, technique, task, incident and counter objects
'''
warntext = 'DO NOT EDIT ABOVE THIS LINE - PLEASE ADD NOTES BELOW'
warnlen = len(warntext)
metadata = {
'phase': self.df_phases,
'tactic': self.df_tactics,
'technique': self.df_techniques,
'task': self.df_tasks,
'incident': self.df_incidents,
'counter': self.df_counters,
'metatechnique': self.df_metatechniques,
'actortype': self.df_actortypes,
#'resource': self.df_resources,
#'responsetype': self.df_responsetypes,
#'detection': self.df_detections
}
indexrows = {
'phase': ['name', 'summary'],
'tactic': ['name', 'summary', 'phase_id'],
'technique': ['name', 'summary', 'tactic_id'],
'task': ['name', 'summary', 'tactic_id'],
'incident': ['name', 'objecttype', 'year_started', 'found_in_country', 'found_via'],
'counter': ['name', 'summary', 'metatechnique', 'tactic', 'responsetype'],
'detection': ['name', 'summary', 'metatechnique', 'tactic', 'responsetype'],
'responsetype': ['name', 'summary'],
'metatechnique': ['name', 'summary'],
'actortype': ['name', 'summary', 'sector_ids'],
'resource': ['name', 'summary', 'resource type']
}
for objecttype, df in metadata.items():
print('Temp: objecttype {}'.format(objecttype))
# Create objecttype directory if needed. Create index file for objecttype
objecttypeplural = objecttype + 's'
objecttypedir = GENERATED_PAGES_DIR + '{}'.format(objecttypeplural)
if not os.path.exists(objecttypedir):
os.makedirs(objecttypedir)
self.write_object_index_to_file(objecttypeplural, indexrows[objecttype],
metadata[objecttype],
GENERATED_PAGES_DIR + '{}_index.md'.format(objecttypeplural))
# Update or create file for every object with this objecttype type
template = open('page_templates/template_{}.md'.format(objecttype)).read()
for index, row in df[df['name'].notnull()].iterrows():
# First read in the file - if it exists - and grab everything
# below the "do not write about this line". Will write this
# out below new metadata.
datafile = GENERATED_PAGES_DIR + '{}/{}.md'.format(objecttypeplural, row['disarm_id'])
oldmetatext = ''
if os.path.exists(datafile):
with open(datafile) as f:
filetext = f.read()
warnpos = filetext.find(warntext)
if warnpos == -1:
print('no warning text found in {}: adding to file'.format(datafile))
usertext = filetext
else:
oldmetatext = filetext[:warnpos+warnlen]
usertext = filetext[warnpos+warnlen:]
else:
usertext = ''
# Now populate datafiles with new metadata plus old userdata
if objecttype == 'phase':
metatext = template.format(type='Phase', id=row['disarm_id'], name=row['name'], summary=row['summary'])
if objecttype == 'tactic':
metatext = template.format(type = 'Tactic', id=row['disarm_id'], name=row['name'],
phase=row['phase_id'], summary=row['summary'],
tasks=self.create_tactic_tasks_string(row['disarm_id']),
techniques=self.create_tactic_techniques_string(row['disarm_id']),
counters=self.create_object_counters_string('tactic_id', row['disarm_id']))
if objecttype == 'task':
metatext = template.format(type='Task', id=row['disarm_id'], name=row['name'],
tactic=row['tactic_id'], summary=row['summary'])
if objecttype == 'technique':
metatext = template.format(type = 'Technique', id=row['disarm_id'], name=row['name'],
tactic=row['tactic_id'], summary=row['summary'],
incidents=self.create_technique_incidents_string(row['disarm_id']),
counters=self.create_technique_counters_string(row['disarm_id']))
if objecttype == 'counter':
metatext = template.format(type = 'Counter', id=row['disarm_id'], name=row['name'],
tactic=row['tactic_id'], summary=row['summary'],
playbooks='', metatechnique=row['metatechnique'],
actortypes=self.create_counter_actortypes_string(row['disarm_id']),
resources_needed=row['resources_needed'],
tactics=self.create_counter_tactics_string(row['disarm_id']),
techniques=self.create_counter_techniques_string(row['disarm_id']),
incidents=self.create_counter_incidents_string(row['disarm_id']))
if objecttype == 'incident':
metatext = template.format(type = 'Incident', id=row['disarm_id'], name=row['name'],
incidenttype=row['objecttype'], summary=row['summary'],
yearstarted=row['year_started'],
fromcountry=row['attributions_seen'],
tocountry=row['found_in_country'],
foundvia=row['found_via'],
dateadded=row['when_added'],
urls=self.create_incident_urls_string(row['disarm_id']),
techniques=self.create_incident_techniques_string(row['disarm_id']))
if objecttype == 'actortype':
metatext = template.format(type = 'Actor', id=row['disarm_id'], name=row['name'],
summary=row['summary'], sector=row['sector_ids'],
viewpoint=row['framework_ids'],
counters=self.create_actortype_counters_string(row['disarm_id']))
if objecttype == 'resource':
metatext = template.format(type = 'Resource', id=row['disarm_id'], name=row['name'],
summary=row['summary'], resource_type=row['resource_type'],
counters=self.create_resource_counters_string(row['disarm_id']))
if objecttype == 'metatechnique':
metatext = template.format(type='Metatechnique', id=row['disarm_id'], name=row['name'],
summary=row['summary'],
counters=self.create_object_counters_string('metatechnique_id', row['disarm_id']))
# Make sure the user data goes in
if (metatext + warntext) != oldmetatext:
print('Updating {}'.format(datafile))
with open(datafile, 'w') as f:
f.write(metatext)
f.write(warntext)
f.write(usertext)
f.close()
return
def create_padded_framework_table(self, title, ttp_col, tocsv=True):
# Create the master grid that we make all the framework visuals from
# cols = number of tactics
# rows = max number of techniques per tactic + 2
numrows = max(self.df_tactics[ttp_col].apply(len)) + 2
arr = [['' for i in range(self.num_tactics)] for j in range(numrows)]
for index, tactic in self.df_tactics.iterrows():
arr[0][index] = tactic['phase_id']
arr[1][index] = tactic['disarm_id']
if tactic[ttp_col] == '':
continue
for index2, technique in enumerate(tactic[ttp_col]):
arr[index2+2][index] = technique
#Save grid to file
if tocsv:
snakecase_title = title.replace(' ', '_')
csvdir = GENERATED_FILES_DIR
if not os.path.exists(csvdir):
os.makedirs(csvdir)
pd.DataFrame(arr).to_csv('{0}/{1}_ids.csv'.format(csvdir, snakecase_title), index=False, header=False)
return(arr)
def write_disarm_frameworks(self):
self.write_disarm_framework_files("red framework", self.techniques, "techniques", 'technique_ids')
self.write_disarm_framework_files("blue framework", self.counters, "counters", 'counter_ids')
return
def write_disarm_framework_files(self, title, ttp_dictionary, ttp_dir, ttp_col):
# Write HTML version of framework diagram to markdown file
# Needs phases, tactics
snakecase_title = title.replace(' ', '_')
outfile = GENERATED_PAGES_DIR + 'disarm_{}.md'.format(snakecase_title)
clickable_file = GENERATED_FILES_DIR + 'disarm_{}_clickable.html'.format(snakecase_title)
# Create padded table to make the writing easier
padded_table = self.create_padded_framework_table(title, ttp_col)
html = '''# DISARM {}: Latest Framework
<table border="1">
<tr>
'''.format(title.capitalize())
# row with phase names in - removed because it makes the tables confusing
# for col in range(self.num_tactics):
# html += '<td><a href="phases/{0}.md">{0} {1}</a></td>\n'.format(
# padded_table[0][col], self.phases[padded_table[0][col]])
# html += '</tr>\n'
html += '<tr style="background-color:blue;color:white;">\n'
for col in range(self.num_tactics):
html += '<td><a href="tactics/{0}.md">{0} {1}</a></td>\n'.format(
padded_table[1][col], self.tactics[padded_table[1][col]])
html += '</tr>\n<tr>\n'
for row in range(2,len(padded_table)):
for col in range(self.num_tactics):
if padded_table[row][col] == '':
html += '<td> </td>\n'
else:
html += '<td><a href="{0}/{1}.md">{1} {2}</a></td>\n'.format(
ttp_dir, padded_table[row][col], ttp_dictionary[padded_table[row][col]])
html += '</tr>\n<tr>\n'
html += '</tr>\n</table>\n'
with open(outfile, 'w') as f:
f.write(html)
print('updated {}'.format(outfile))
# Clickable version
self.write_clickable_disarm_framework_file(title, padded_table, ttp_dictionary, clickable_file)
return
def write_clickable_disarm_framework_file(self, title, padded_table, ttp_dictionary, outfile):
# Write clickable html version of the matrix grid to html file
html = '''<!DOCTYPE html>
<html>
<head>
<title>DISARM {}</title>
</head>
<body>
<script>
function handleTechniqueClick(box) {{
var technique = document.getElementById(box);
var checkBox = document.getElementById(box+"check");
var text = document.getElementById(box+"text");
if (checkBox.checked == true){{
text.style.display = "block";
technique.bgColor = "Lime"
}} else {{
text.style.display = "none";
technique.bgColor = "Silver"
}}
}}
</script>
<h1>DISARM</h1>
<table border=1 bgcolor=silver>
'''.format(title.capitalize())
html += '<tr bgcolor=fuchsia>\n'
for col in range(self.num_tactics):
html += '<td>{0} {1}</td>\n'.format(padded_table[0][col], self.phases[padded_table[0][col]])
html += '</tr>\n'
html += '<tr bgcolor=aqua>\n'
for col in range(self.num_tactics):
html += '<td>{0} {1}</td>\n'.format(padded_table[1][col], self.tactics[padded_table[1][col]])
html += '</tr>\n'
liststr = ''
html += '<tr>\n'
for row in range(2,len(padded_table)):
for col in range(self.num_tactics):
techid = padded_table[row][col]
if techid == '':
html += '<td bgcolor=white> </td>\n'
else:
html += '<td id="{0}">{0} {1}<input type="checkbox" id="{0}check" onclick="handleTechniqueClick(\'{0}\')"></td>\n'.format(
techid, ttp_dictionary[techid])
liststr += '<li id="{0}text" style="display:none">{0}: {1}</li>\n'.format(
techid, ttp_dictionary[techid])
html += '</tr>\n<tr>\n'
html += '</tr>\n</table>\n<hr>\n'
html += '<ul>\n{}</ul>\n'.format(liststr)
html += '''
</body>
</html>
'''
with open(outfile, 'w') as f:
f.write(html)
print('updated {}'.format(outfile))
return
def print_technique_incidents(self):
for id_technique in self.df_techniques['disarm_id'].to_list():
print('{}\n{}'.format(id_technique,
self.create_incidentstring(id_technique)))
return
def print_incident_techniques(self):
for id_incident in self.df_incidents['disarm_id'].to_list():
print('{}\n{}'.format(id_incident,
self.create_techstring(id_incident)))
return
def analyse_counter_text(self, col='name'):
# Analyse text in counter descriptions
alltext = (' ').join(self.df_counters[col].to_list()).lower()
count_vect = CountVectorizer(stop_words='english')
word_counts = count_vect.fit_transform([alltext])
dfw = pd.DataFrame(word_counts.A, columns=count_vect.get_feature_names()).transpose()
dfw.columns = ['count']
dfw = dfw.sort_values(by='count', ascending=False)
return(dfw)
def analyse_coverage(self, technique_id_list, counter_id_list):
ct = self.cross_counterid_techniqueid.copy()
ct = ct[ct['technique_id'].isin(self.df_techniques['disarm_id'].to_list()) & ct['disarm_id'].isin(self.df_counters['disarm_id'].to_list())]
possible_counters_for_techniques = ct[ct['technique_id'].isin(technique_id_list)]
possible_techniques_for_counters = ct[ct['technique_id'].isin(counter_id_list)]
coverage = ct[(ct['disarm_id'].isin(counter_id_list)) & (ct['technique_id'].isin(technique_id_list))]
return coverage, possible_counters_for_techniques, possible_techniques_for_counters
def write_counts_table_to_file(self, objectname, objectdict, counts_table, outfile):
html = '''# DISARM {} courses of action
<table border="1">
<tr>
<td> </td>
'''.format(objectname.capitalize())
# Table heading row
for col in counts_table.columns.get_level_values(1)[:-1]:
html += '<td>{}</td>\n'.format(col)
html += '<td>TOTALS</td></tr><tr>\n'
# Data rows
for index, counts in counts_table.iterrows():
html += '<td><a href="{3}{0}s/{1}.md">{1} {2}</a></td>\n'.format(
objectname, index, objectdict[index], GENERATED_PAGES_DIR)
for val in counts.values:
html += '<td>{}</td>\n'.format(val)
html += '</tr>\n<tr>\n'
# Column sums
html += '<td>TOTALS</td>\n'
for val in counts_table.sum().values:
html += '<td>{}</td>\n'.format(val)
html += '</tr>\n</table>\n'
with open(outfile, 'w') as f:
f.write(html)
print('updated {}'.format(outfile))
return
def write_responsetype_tactics_table_file(self, outfile = GENERATED_PAGES_DIR + 'tactics_by_responsetype_table.md'):
''' Write course of action matrix for tactics vs responsetype
'''
counts_table = pd.pivot_table(self.df_counters[['responsetype', 'tactic_id','disarm_id']],
index='tactic_id', columns='responsetype', aggfunc=len,
fill_value=0)
counts_table['TOTALS'] = counts_table.sum(axis=1)
self.write_counts_table_to_file('tactic', self.tactics, counts_table, outfile)
return
def write_metatechniques_responsetype_table_file(self, outfile = GENERATED_PAGES_DIR + 'metatechniques_by_responsetype_table.md'):
counts_table = pd.pivot_table(self.df_counters[['responsetype', 'metatechnique_id','disarm_id']],
index='metatechnique_id', columns='responsetype', aggfunc=len,
fill_value=0)
counts_table['TOTALS'] = counts_table.sum(axis=1)
self.write_counts_table_to_file('metatechnique', self.metatechniques, counts_table, outfile)
return
def write_resources_responsetype_table_file(self, outfile = GENERATED_PAGES_DIR + 'resources_by_responsetype_table.md'):
# dirty hack because there are lots of -blanks?- in the cross-table that should have been filtered out
crosstable_with_responsetype = self.cross_counterid_resourceid.merge(self.df_counters[['disarm_id', 'responsetype']])
crosstable_with_responsetype = crosstable_with_responsetype[crosstable_with_responsetype['responsetype'].isin(self.resources.keys())]
counts_table = pd.pivot_table(crosstable_with_responsetype,
index='resource_id', columns='responsetype', aggfunc=len,
fill_value=0)
counts_table['TOTALS'] = counts_table.sum(axis=1)
self.write_counts_table_to_file('resource', self.resources, counts_table, outfile)
return
def generate_and_write_datafiles(self):
# Framework matrices
self.write_disarm_frameworks()
# Editable files
self.update_markdown_files()
self.write_object_indexes_to_file()
# Cross tables
self.write_responsetype_tactics_table_file()
self.write_metatechniques_responsetype_table_file()
# FIXIT - this is just giving trouble today self.write_resources_responsetype_table_file()
return
def main():
disarm = Disarm()
disarm.generate_and_write_datafiles()
if __name__ == "__main__":
main()
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