#!/usr/bin/env python3 """ Generate DISARM MISP galaxy see also https://github.com/MISP/misp-galaxy Author: Christophe Vandeplas License: AGPL-3 """ from generate_DISARM_pages import Disarm import json import uuid import os DISARM_DESCRIPTION = 'DISARM is a framework designed for describing and understanding disinformation incidents.' DISARM_CATEGORY = 'disarm' DISARM_AUTHORS = ['DISARM Project'] DISARM_SOURCE = 'https://github.com/DISARMFoundation/DISARMframeworks' CORE_UUID = "9d6bd9d2-2cd3-4900-b61a-06cd64df3996" class DisarmGalaxy: def __init__(self, out_path=os.path.join('..', '..', 'misp-galaxy')): self.disarm = Disarm() self.out_path = out_path self.all_data = {} # variable that will contain everything self.all_data_uuid = {} # used to compute references self.galaxy_types = ['techniques', 'countermeasures', 'detections', 'actortypes'] def generate_all_galaxies(self): for galaxy_type in self.galaxy_types: getattr(self, f'generate_{galaxy_type}_galaxy')() # also saves the files def generate_all_clusters(self): # first build up the data for galaxy_type in self.galaxy_types: getattr(self, f'generate_{galaxy_type}_clusters')() # write all to files for galaxy_type in self.galaxy_types: self.write_json_file(os.path.join(self.out_path, 'clusters', f'disarm-{galaxy_type}.json'), self.all_data[galaxy_type]) def write_json_file(self, fname, file_data): with open(fname, 'w') as f: json.dump(file_data, f, indent=2, sort_keys=True, ensure_ascii=False) f.write('\n') def generate_techniques_galaxy(self): galaxy_type = 'techniques' galaxy = {'name': 'Techniques', 'type': f'disarm-{galaxy_type}', 'description': DISARM_DESCRIPTION, 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-galaxy-{galaxy_type}')), 'version': 1, 'icon': 'map', 'namespace': 'disarm', 'kill_chain_order': { 'tactics': [] }} for k, v in self.disarm.tactics.items(): galaxy['kill_chain_order']['tactics'].append(f'{v}') self.write_json_file(os.path.join(self.out_path, 'galaxies', f'disarm-{galaxy_type}.json'), galaxy) def generate_techniques_clusters(self): galaxy_type = 'techniques' cluster = {'authors': DISARM_AUTHORS, 'category': DISARM_CATEGORY, 'description': DISARM_DESCRIPTION, 'name': 'Techniques', 'source': DISARM_SOURCE, 'type': f'disarm-{galaxy_type}', 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-cluster-{galaxy_type}')), 'values': [], 'version': 1} values = [] df = self.disarm.df_techniques for i in range(len(df)): entry_id = df.values[i][0] kill_chain = [f'tactics:{self.disarm.tactics[df.values[i][3]]}'] related = [] # Countermeasures relations mapping = self.disarm.cross_counterid_techniqueid[ self.disarm.cross_counterid_techniqueid['technique_id'] == entry_id] for index, row in mapping.sort_values('disarm_id').iterrows(): related_id = row['disarm_id'] related.append({ "dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)), # "tags": [ # "estimative-language:likelihood-probability=\"almost-certain\"" # ], "type": "blocked-by" # mitigated-by would be cleaner, but does not exist as relationship type }) # Detections relations mapping = self.disarm.cross_detectionid_techniqueid[ self.disarm.cross_detectionid_techniqueid['technique_id'] == entry_id] for index, row in mapping.sort_values('disarm_id').iterrows(): related_id = row['disarm_id'] related.append({ "dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)), # "tags": [ # "estimative-language:likelihood-probability=\"almost-certain\"" # ], "type": "detected-by" }) value = { 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), entry_id)), 'value': df.values[i][1], 'description': df.values[i][4], 'meta': { 'external_id': entry_id, 'kill_chain': kill_chain, 'refs': [ f'https://github.com/DISARMFoundation/DISARMframeworks/blob/main/generated_pages/{galaxy_type}/{entry_id}.md' ] }, 'related': related } values.append(value) self.all_data_uuid[value['uuid']] = value cluster['values'] = sorted(values, key=lambda x: x['meta']['external_id']) self.all_data[galaxy_type] = cluster def generate_countermeasures_galaxy(self): galaxy_type = 'countermeasures' galaxy = {'name': 'Countermeasures', 'type': f'disarm-{galaxy_type}', 'description': DISARM_DESCRIPTION, 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-galaxy-{galaxy_type}')), 'version': 1, 'icon': 'shield-alt', 'namespace': 'disarm', 'kill_chain_order': { 'tactics': [], 'responsetypes': [], 'metatechniques': [] }} for k, v in self.disarm.tactics.items(): galaxy['kill_chain_order']['tactics'].append(f'{v}') for k, v in self.disarm.responsetypes.items(): galaxy['kill_chain_order']['responsetypes'].append(f'{v}') for k, v in self.disarm.metatechniques.items(): galaxy['kill_chain_order']['metatechniques'].append(f'{v}') self.write_json_file(os.path.join(self.out_path, 'galaxies', f'disarm-{galaxy_type}.json'), galaxy) def generate_countermeasures_clusters(self): galaxy_type = 'countermeasures' cluster = {'authors': DISARM_AUTHORS, 'category': DISARM_CATEGORY, 'description': DISARM_DESCRIPTION, 'name': 'Countermeasures', 'source': DISARM_SOURCE, 'type': f'disarm-{galaxy_type}', 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-cluster-{galaxy_type}')), 'values': [], 'version': 1} values = [] df = self.disarm.df_counters for i in range(len(df)): entry_id = df.values[i][0] kill_chain = [] if self.disarm.tactics[df.values[i][15]]: kill_chain.append(f'tactics:{self.disarm.tactics[df.values[i][15]]}') if self.disarm.responsetypes[df.values[i][10]]: kill_chain.append(f'responsetypes:{self.disarm.responsetypes[df.values[i][10]]}') if self.disarm.metatechniques[df.values[i][17]]: kill_chain.append(f'metatechniques:{self.disarm.metatechniques[df.values[i][17]]}') related = [] # Techniques relations mapping = self.disarm.cross_counterid_techniqueid[ self.disarm.cross_counterid_techniqueid['disarm_id'] == entry_id] for index, row in mapping.sort_values('technique_id').iterrows(): related_id = row['technique_id'] related.append({ "dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)), # "tags": [ # "estimative-language:likelihood-probability=\"almost-certain\"" # ], "type": "blocks" # mitigated would be cleaner, but mitigated-by does not exist as relationship type }) # Actortype relations mapping = self.disarm.cross_counterid_actortypeid[ self.disarm.cross_counterid_actortypeid['disarm_id'] == entry_id] for index, row in mapping.sort_values('actortype_id').iterrows(): related_id = row['actortype_id'] related.append({ "dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)), # "tags": [ # "estimative-language:likelihood-probability=\"almost-certain\"" # ], "type": "affected-by" # mitigated-by would be cleaner, but mitigated-by does not exist as relationship type }) value = { 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), entry_id)), 'value': df.values[i][1], 'description': df.values[i][3], 'meta': { 'external_id': entry_id, 'kill_chain': kill_chain, 'refs': [ f'https://github.com/DISARMFoundation/DISARMframeworks/blob/main/generated_pages/counters/{entry_id}.md' ] }, 'related': related } values.append(value) self.all_data_uuid[value['uuid']] = value cluster['values'] = sorted(values, key=lambda x: x['meta']['external_id']) self.all_data[galaxy_type] = cluster def generate_detections_galaxy(self): galaxy_type = 'detections' galaxy = {'name': 'Detections', 'type': f'disarm-{galaxy_type}', 'description': DISARM_DESCRIPTION, 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-galaxy-{galaxy_type}')), 'version': 1, 'icon': 'bell', 'namespace': 'disarm', 'kill_chain_order': { 'tactics': [], 'responsetypes': [], # 'metatechniques': [] }} for k, v in self.disarm.tactics.items(): galaxy['kill_chain_order']['tactics'].append(f'{v}') for k, v in self.disarm.responsetypes.items(): galaxy['kill_chain_order']['responsetypes'].append(f'{v}') # for k, v in self.disarm.metatechniques.items(): # galaxy['kill_chain_order']['metatechniques'].append(f'{v}') self.write_json_file(os.path.join(self.out_path, 'galaxies', f'disarm-{galaxy_type}.json'), galaxy) def generate_detections_clusters(self): galaxy_type = 'detections' cluster = {'authors': DISARM_AUTHORS, 'category': DISARM_CATEGORY, 'description': DISARM_DESCRIPTION, 'name': 'Detections', 'source': DISARM_SOURCE, 'type': f'disarm-{galaxy_type}', 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-cluster-{galaxy_type}')), 'values': [], 'version': 1} values = [] df = self.disarm.df_detections for i in range(len(df)): entry_id = df.values[i][0] kill_chain = [] try: if self.disarm.tactics[df.values[i][14]]: kill_chain.append(f'tactics:{self.disarm.tactics[df.values[i][14]]}') except KeyError: pass try: if self.disarm.responsetypes[df.values[i][10]]: kill_chain.append(f'responsetypes:{self.disarm.responsetypes[df.values[i][10]]}') except KeyError: pass # Metatechnique ID is not in the array # if self.disarm.metatechniques[df.values[i][???]]: # kill_chain.append(f'metatechniques:{self.disarm.metatechniques[df.values[i][???]]}') related = [] # Techniques relations mapping = self.disarm.cross_detectionid_techniqueid[ self.disarm.cross_detectionid_techniqueid['disarm_id'] == entry_id] for index, row in mapping.sort_values('technique_id').iterrows(): related_id = row['technique_id'] related.append({ "dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)), # "tags": [ # "estimative-language:likelihood-probability=\"almost-certain\"" # ], "type": "detects" }) # Actortypes relations mapping = self.disarm.cross_detectionid_actortypeid[ self.disarm.cross_detectionid_actortypeid['disarm_id'] == entry_id] for index, row in mapping.sort_values('actortype_id').iterrows(): related_id = row['actortype_id'] related.append({ "dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)), # "tags": [ # "estimative-language:likelihood-probability=\"almost-certain\"" # ], "type": "detected-by" # mitigated-by would be cleaner, but mitigated-by does not exist as relationship type }) value = { 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), entry_id)), 'value': df.values[i][1], 'description': df.values[i][3], 'meta': { 'external_id': entry_id, 'kill_chain': kill_chain, 'refs': [ f'https://github.com/DISARMFoundation/DISARMframeworks/blob/main/generated_pages/{galaxy_type}/{entry_id}.md' ] }, 'related': related } values.append(value) self.all_data_uuid[value['uuid']] = value cluster['values'] = sorted(values, key=lambda x: x['meta']['external_id']) self.all_data[galaxy_type] = cluster def generate_actortypes_galaxy(self): galaxy_type = 'actortypes' galaxy = {'name': 'Actor Types', 'type': f'disarm-{galaxy_type}', 'description': DISARM_DESCRIPTION, 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-galaxy-{galaxy_type}')), 'version': 1, 'icon': 'user-secret', 'namespace': 'disarm', 'kill_chain_order': { 'sectors': [] }} for k, v in self.disarm.sectors.items(): galaxy['kill_chain_order']['sectors'].append(f'{v}') self.write_json_file(os.path.join(self.out_path, 'galaxies', f'disarm-{galaxy_type}.json'), galaxy) def generate_actortypes_clusters(self): galaxy_type = 'actortypes' cluster = {'authors': DISARM_AUTHORS, 'category': DISARM_CATEGORY, 'description': DISARM_DESCRIPTION, 'name': 'Actor Types', 'source': DISARM_SOURCE, 'type': f'disarm-{galaxy_type}', 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-cluster-{galaxy_type}')), 'values': [], 'version': 1} values = [] df = self.disarm.df_actortypes for i in range(len(df)): entry_id = df.values[i][0] kill_chain = [] try: sectors = df.values[i][3].split(',') for sector in sectors: sector = sector.strip() if self.disarm.sectors[sector]: kill_chain.append(f'sectors:{self.disarm.sectors[sector]}') except KeyError: pass related = [] # Countermeasures relations mapping = self.disarm.cross_counterid_actortypeid[ self.disarm.cross_counterid_actortypeid['actortype_id'] == entry_id] for index, row in mapping.sort_values('disarm_id').iterrows(): related_id = row['disarm_id'] related.append({ "dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)), # "tags": [ # "estimative-language:likelihood-probability=\"almost-certain\"" # ], "type": "affects" }) # Detections relations mapping = self.disarm.cross_detectionid_actortypeid[ self.disarm.cross_detectionid_actortypeid['actortype_id'] == entry_id] for index, row in mapping.sort_values('disarm_id').iterrows(): related_id = row['disarm_id'] related.append({ "dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)), # "tags": [ # "estimative-language:likelihood-probability=\"almost-certain\"" # ], "type": "detects" }) value = { 'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), entry_id)), 'value': df.values[i][1], 'description': df.values[i][2], 'meta': { 'external_id': entry_id, 'kill_chain': kill_chain, 'refs': [ f'https://github.com/DISARMFoundation/DISARMframeworks/blob/main/generated_pages/{galaxy_type}/{entry_id}.md' ] }, 'related': related } values.append(value) self.all_data_uuid[value['uuid']] = value cluster['values'] = sorted(values, key=lambda x: x['meta']['external_id']) self.all_data[galaxy_type] = cluster def main(): disarm_galaxy = DisarmGalaxy() disarm_galaxy.generate_all_galaxies() disarm_galaxy.generate_all_clusters() if __name__ == "__main__": main() print("All done, please look at the delta, and update the version number if needed.") print("After that do ./jq_all_the_things.sh, commit, and then ./validate_all.sh.")