mirror of
https://github.com/DISARMFoundation/DISARMframeworks.git
synced 2024-09-20 00:15:37 +00:00
c11e9d06ad
Added framework objects: - Added technique T0066 "Degrade adversary" to TA02 - Added technique T0067 "Plan to discredit credible sources" to TA02 - Added technique T0068 "respond to breaking news event" to TA02 - Added technique T0069 "respond to active crisis" to TA02 - Added technique T0070 "Analyze existing communities" to TA02 - Added technique T0071 "Find echo chambers" to TA13 - Added technique T0072 "Segment audiences" to TA13 Added STIX generator from repo DISARM-stix2, and added code to generate github files, databases, and STIX from the same Jupyter notebook.
148 lines
6.9 KiB
Python
148 lines
6.9 KiB
Python
''' Generate DISARM sql databases
|
|
|
|
# Author: SJ Terp, Twitter @bodaceacat
|
|
# License: GPL-3
|
|
|
|
'''
|
|
|
|
import pandas as pd
|
|
import sqlite3 as sql
|
|
import os
|
|
from sqlalchemy import create_engine
|
|
from generate_DISARM_pages import Disarm
|
|
|
|
|
|
|
|
def generate_disarm_sql(dbasetype='sqlite'):
|
|
''' Generate SQL
|
|
Expected database types include
|
|
'sqlite': used to export database to other apps
|
|
'postgresql_local': used in local instances of the DISARM explorer
|
|
'heroku': used in Heroku-based instances of the DISARM explorer, although current
|
|
practice at DISARM is to post a dump of the postgresql database to it instead.
|
|
'''
|
|
|
|
# Generate DISARM datasets
|
|
disarm = Disarm()
|
|
|
|
|
|
# Create connection to database
|
|
if dbasetype == 'sqlite':
|
|
# Generate minimal sqlite database from the variables
|
|
conn = sql.connect('../generated_files/DISARM_database.sqlite')
|
|
elif dbasetype == 'postgresql_local':
|
|
conn = create_engine('postgresql://sara:@localhost:5432/disarmsite')
|
|
|
|
|
|
# Add table to database
|
|
def add_table(dataframe, tablename, columns):
|
|
# Create sql-appropriate table from dataframe
|
|
colnames = ', '.join(['{} TEXT NOT NULL'.format(col) for col in columns])
|
|
newtable = dataframe[columns].copy().applymap(str)
|
|
newtable['id'] = range(1,len(newtable)+1)
|
|
|
|
# send to database
|
|
if dbasetype == 'sqlite':
|
|
conn.execute("DROP TABLE IF EXISTS {}".format(tablename))
|
|
conn.execute('''CREATE TABLE {} (id INTEGER PRIMARY KEY AUTOINCREMENT, {});'''.format(tablename, colnames))
|
|
newtable.to_sql(tablename, conn, index=False, if_exists='append')
|
|
conn.commit()
|
|
elif dbasetype == 'postgresql_local':
|
|
newtable.to_sql(tablename, conn, index=False, if_exists='replace')
|
|
return newtable
|
|
|
|
|
|
# Build a cross-table
|
|
def object_tactics_techniques(objectcol, objecttable, crosstable):
|
|
# objects to techniques
|
|
ctech = crosstable.copy()
|
|
ctech = ctech[(ctech['technique_id'] != '') & (~ctech['technique_id'].str.startswith('TA'))]
|
|
ctech.rename(columns={'disarm_id':objectcol}, inplace=True)
|
|
ctech['summary'] = 'N/A'
|
|
|
|
# objects to tactics
|
|
ctact = crosstable[crosstable['technique_id'].str.startswith('TA')].copy()
|
|
ctact.rename(columns={'disarm_id':objectcol, 'technique_id': 'tactic_id'}, inplace=True)
|
|
ctact['main_tactic'] = 'N'
|
|
ctactmain = objecttable[['disarm_id', 'tactic_id']].copy()
|
|
ctactmain.rename(columns={'disarm_id':objectcol}, inplace=True)
|
|
ctactmain['main_tactic'] = 'Y'
|
|
ctact = pd.concat([ctact, ctactmain], ignore_index=True, sort=False)
|
|
ctact['summary'] = 'N/A'
|
|
return(ctech, ctact)
|
|
|
|
#Load all the tables - Heroku needs them in correct order...
|
|
|
|
# -- frameworks --
|
|
|
|
#newtable = add_table(disarm.df_actortypes, 'actor_type', ['disarm_id', 'sector_id', 'framework_id', 'name', 'summary'])
|
|
newtable = add_table(disarm.df_counters, 'counter', ['disarm_id', 'tactic_id', 'metatechnique_id', 'name', 'summary'])
|
|
newtable = add_table(disarm.df_detections, 'detection', ['disarm_id', 'tactic_id', 'name', 'summary'])
|
|
newtable = add_table(disarm.df_frameworks, 'framework', ['disarm_id', 'name', 'summary'])
|
|
newtable = add_table(disarm.df_metatechniques, 'metatechnique', ['disarm_id', 'name', 'summary'])
|
|
newtable = add_table(disarm.df_phases, 'phase', ['disarm_id', 'name', 'rank', 'summary'])
|
|
newtable = add_table(disarm.df_playbooks, 'playbook', ['disarm_id', 'object_id', 'name', 'summary'])
|
|
newtable = add_table(disarm.df_resources, 'resource', ['disarm_id', 'name', 'summary', 'resource_type'])
|
|
newtable = add_table(disarm.df_responsetypes, 'responsetype', ['disarm_id', 'name', 'summary'])
|
|
#newtable = add_table(disarm.df_sector, 'sector', ['disarm_id', 'name', 'summary'])
|
|
newtable = add_table(disarm.df_tactics, 'tactic', ['disarm_id', 'phase_id', 'name', 'rank', 'summary'])
|
|
newtable = add_table(disarm.df_tasks, 'task', ['disarm_id', 'tactic_id', 'framework_id', 'name', 'summary'])
|
|
newtable = add_table(disarm.df_techniques, 'technique', ['disarm_id', 'tactic_id', 'name', 'summary'])
|
|
|
|
(ctech, ctact) = object_tactics_techniques('counter_id', disarm.df_counters, disarm.cross_counterid_techniqueid)
|
|
newtable = add_table(ctech, 'counter_technique', ['counter_id', 'technique_id', 'summary'])
|
|
newtable = add_table(ctact, 'counter_tactic', ['counter_id', 'tactic_id', 'main_tactic', 'summary'])
|
|
|
|
(dtech, dtact) = object_tactics_techniques('detection_id', disarm.df_detections, disarm.cross_detectionid_techniqueid)
|
|
newtable = add_table(dtech, 'detection_technique', ['detection_id', 'technique_id', 'summary'])
|
|
newtable = add_table(dtact, 'detection_tactic', ['detection_id', 'tactic_id', 'main_tactic', 'summary'])
|
|
|
|
# -- datasets --
|
|
|
|
newtable = add_table(disarm.df_examples, 'example', ['disarm_id', 'object_id', 'name', 'summary'])
|
|
|
|
# dataset
|
|
# reference - create this from other tables.
|
|
# Also need incidentcounter etc - create from data
|
|
newtable = add_table(disarm.df_externalgroups, 'externalgroup', ['disarm_id', 'name', 'url', 'summary',
|
|
'sector', 'primary_role', 'secondary_role',
|
|
'primary_subject', 'secondary_subject',
|
|
'volunteers', 'region', 'country',
|
|
'twitter_handle'])
|
|
newtable = add_table(disarm.df_incidents, 'incident', ['disarm_id', 'name', 'summary',
|
|
'year_started', 'attributions_seen',
|
|
'found_in_country', 'objecttype'])
|
|
newtable = add_table(disarm.df_tools, 'tool', ['disarm_id', 'name', 'summary',
|
|
'externalgroup', 'url', 'category',
|
|
'disinformation_use', 'cogseccollab_use',
|
|
'function', 'code_url', 'artifacts',
|
|
'automation', 'platform', 'accessibility'])
|
|
# incidenttechnique crosstable
|
|
it = vars(disarm)['it'][['disarm_id', 'name', 'summary', 'disarm_id_incident', 'disarm_id_technique']].copy()
|
|
it.rename(columns={'disarm_id_incident':'incident_id', 'disarm_id_technique': 'technique_id'}, inplace=True)
|
|
newtable = add_table(it, 'incident_technique', ['disarm_id', 'name', 'summary',
|
|
'incident_id', 'technique_id'])
|
|
|
|
# Load in users table, and close connection
|
|
if dbasetype == 'sqlite':
|
|
conn.execute("DROP TABLE IF EXISTS {}".format('users'))
|
|
conn.execute('''CREATE TABLE users (id INTEGER PRIMARY KEY AUTOINCREMENT, username TEXT NOT NULL UNIQUE, password TEXT NOT NULL);''')
|
|
conn.close()
|
|
else:
|
|
dfusers = pd.DataFrame([['test','testing']], columns=['username', 'password'])
|
|
usertable = add_table(dfusers, 'users', ['username', 'password'])
|
|
|
|
return
|
|
|
|
|
|
|
|
''' main, if we need it
|
|
'''
|
|
def main():
|
|
generate_disarm_sql()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|
|
|