mirror of https://github.com/MISP/misp-modules
318 lines
15 KiB
Python
318 lines
15 KiB
Python
# -*- coding: utf-8 -*-
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from pymisp import MISPEvent, MISPObject
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from pymisp import __path__ as pymisp_path
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import csv
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import io
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import json
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import os
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import base64
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misperrors = {'error': 'Error'}
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moduleinfo = {'version': '0.2', 'author': 'Christian Studer',
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'description': 'Import Attributes from a csv file.',
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'module-type': ['import']}
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moduleconfig = []
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userConfig = {
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'header': {
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'type': 'String',
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'message': 'Define the header of the csv file, with types (included in MISP attribute types or attribute fields) separated by commas.\nFor fields that do not match these types or that you want to skip, please use space or simply nothing between commas.\nFor instance: ip-src,domain, ,timestamp'},
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'has_header': {
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'type': 'Boolean',
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'message': 'Tick this box ONLY if there is a header line, NOT COMMENTED, and all the fields of this header are respecting the recommendations above.'},
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'special_delimiter': {
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'type': 'String',
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'message': 'IF THE DELIMITERS ARE NOT COMMAS, please specify which ones are used (for instance: ";", "|", "/", "\t" for tabs, etc).'
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}
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}
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mispattributes = {'userConfig': userConfig, 'inputSource': ['file'], 'format': 'misp_standard'}
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misp_standard_csv_header = ['uuid', 'event_id', 'category', 'type', 'value', 'comment', 'to_ids', 'date',
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'object_relation', 'attribute_tag', 'object_uuid', 'object_name', 'object_meta_category']
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misp_context_additional_fields = ['event_info', 'event_member_org', 'event_source_org', 'event_distribution',
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'event_threat_level_id', 'event_analysis', 'event_date', 'event_tag']
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misp_extended_csv_header = misp_standard_csv_header + misp_context_additional_fields
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class CsvParser():
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def __init__(self, header, has_header, delimiter, data, from_misp, MISPtypes, categories):
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self.misp_event = MISPEvent()
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self.header = header
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self.has_header = has_header
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self.delimiter = delimiter
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self.data = data
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self.from_misp = from_misp
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self.MISPtypes = MISPtypes
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self.categories = categories
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self.fields_number = len(self.header)
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self.__score_mapping = {0: self.__create_standard_attribute,
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1: self.__create_attribute_with_ids,
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2: self.__create_attribute_with_tags,
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3: self.__create_attribute_with_ids_and_tags,
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4: self.__create_attribute_check_category,
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5: self.__create_attribute_check_category_and_ids,
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6: self.__create_attribute_check_category_and_tags,
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7: self.__create_attribute_check_category_with_ids_and_tags}
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def parse_csv(self):
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if self.from_misp:
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if self.header == misp_standard_csv_header:
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self.__parse_misp_csv()
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else:
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attribute_fields = misp_standard_csv_header[:1] + misp_standard_csv_header[2:10]
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object_fields = ['object_id'] + misp_standard_csv_header[10:]
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attribute_indexes = []
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object_indexes = []
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for i in range(len(self.header)):
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if self.header[i] in attribute_fields:
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attribute_indexes.append(i)
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elif self.header[i] in object_fields:
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object_indexes.append(i)
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if object_indexes:
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if not any(field in self.header for field in ('object_uuid', 'object_id')) or 'object_name' not in self.header:
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for line in self.data:
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for index in object_indexes:
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if line[index].strip():
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return {'error': 'It is not possible to import MISP objects from your csv file if you do not specify any object identifier and object name to separate each object from each other.'}
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if 'object_relation' not in self.header:
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return {'error': 'In order to import MISP objects, an object relation for each attribute contained in an object is required.'}
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self.__build_misp_event(attribute_indexes, object_indexes)
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else:
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attribute_fields = attribute_fields = misp_standard_csv_header[:1] + misp_standard_csv_header[2:9]
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attribute_indexes = []
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types_indexes = []
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for i in range(len(self.header)):
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if self.header[i] in attribute_fields:
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attribute_indexes.append(i)
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elif self.header[i] in self.MISPtypes:
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types_indexes.append(i)
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self.__parse_external_csv(attribute_indexes, types_indexes)
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self.__finalize_results()
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return {'success': 1}
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################################################################################
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# Parsing csv data with MISP fields, #
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# but a custom header #
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################################################################################
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def __build_misp_event(self, attribute_indexes, object_indexes):
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score = self.__get_score()
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if object_indexes:
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objects = {}
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id_name = 'object_id' if 'object_id' in self.header else 'object_uuid'
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object_id_index = self.header.index(id_name)
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name_index = self.header.index('object_name')
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for line in self.data:
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attribute = self.__score_mapping[score](line, attribute_indexes)
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object_id = line[object_id_index]
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if object_id:
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if object_id not in objects:
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misp_object = MISPObject(line[name_index])
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if id_name == 'object_uuid':
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misp_object.uuid = object_id
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objects[object_id] = misp_object
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objects[object_id].add_attribute(**attribute)
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else:
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self.event.add_attribute(**attribute)
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for misp_object in objects.values():
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self.misp_event.add_object(**misp_object)
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else:
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for line in self.data:
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attribute = self.__score_mapping[score](line, attribute_indexes)
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self.misp_event.add_attribute(**attribute)
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################################################################################
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# Parsing csv data containing fields that are not #
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# MISP attributes or objects standard fields #
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# (but should be MISP attribute types!!) #
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################################################################################
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def __parse_external_csv(self, attribute_indexes, types_indexes):
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score = self.__get_score()
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if attribute_indexes:
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for line in self.data:
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try:
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base_attribute = self.__score_mapping[score](line, attribute_indexes)
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except IndexError:
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continue
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for index in types_indexes:
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attribute = {'type': self.header[index], 'value': line[index]}
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attribute.update(base_attribute)
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self.misp_event.add_attribute(**attribute)
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else:
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for line in self.data:
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for index in types_indexes:
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self.misp_event.add_attribute(**{'type': self.header[index], 'value': line[index]})
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################################################################################
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# Parsing standard MISP csv format #
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################################################################################
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def __parse_misp_csv(self):
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objects = {}
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attribute_fields = self.header[:1] + self.header[2:8]
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for line in self.data:
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a_uuid, _, category, _type, value, comment, ids, timestamp, relation, tag, o_uuid, name, _ = line[:self.fields_number]
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attribute = {t: v.strip('"') for t, v in zip(attribute_fields, (a_uuid, category, _type, value, comment, ids, timestamp))}
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attribute['to_ids'] = True if attribute['to_ids'] == '1' else False
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if tag:
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attribute['Tag'] = [{'name': t.strip()} for t in tag.split(',')]
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if relation:
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if o_uuid not in objects:
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objects[o_uuid] = MISPObject(name)
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objects[o_uuid].add_attribute(relation, **attribute)
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else:
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self.misp_event.add_attribute(**attribute)
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for uuid, misp_object in objects.items():
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misp_object.uuid = uuid
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self.misp_event.add_object(**misp_object)
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################################################################################
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# Utility functions #
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################################################################################
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def __create_attribute_check_category(self, line, indexes):
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attribute = self.__create_standard_attribute(line, indexes)
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self.__check_category(attribute)
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return attribute
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def __create_attribute_check_category_and_ids(self, line, indexes):
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attribute = self.__create_attribute_with_ids(line, indexes)
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self.__check_category(attribute)
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return attribute
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def __create_attribute_check_category_and_tags(self, line, indexes):
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attribute = self.__create_attribute_with_tags(line, indexes)
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self.__check_category(attribute)
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return attribute
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def __create_attribute_check_category_with_ids_and_tags(self, line, indexes):
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attribute = self.__create_attribute_with_ids_and_tags(line, indexes)
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self.__check_category(attribute)
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return attribute
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def __create_attribute_with_ids(self, line, indexes):
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attribute = self.__create_standard_attribute(line, indexes)
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self.__deal_with_ids(attribute)
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return attribute
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def __create_attribute_with_ids_and_tags(self, line, indexes):
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attribute = self.__create_standard_attribute(line, indexes)
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self.__deal_with_ids(attribute)
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self.__deal_with_tags(attribute)
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return attribute
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def __create_attribute_with_tags(self, line, indexes):
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attribute = self.__create_standard_attribute(line, indexes)
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self.__deal_with_tags(attribute)
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return attribute
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def __create_standard_attribute(self, line, indexes):
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return {self.header[index]: line[index] for index in indexes if line[index]}
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def __check_category(self, attribute):
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category = attribute['category']
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if category in self.categories:
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return
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if category.capitalize() in self.categories:
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attribute['category'] = category.capitalize()
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return
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del attribute['category']
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@staticmethod
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def __deal_with_ids(attribute):
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attribute['to_ids'] = True if attribute['to_ids'] == '1' else False
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@staticmethod
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def __deal_with_tags(attribute):
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if 'Tag' in attribute.keys():
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attribute['Tag'] = [{'name': tag.strip()} for tag in attribute['Tag'].split(',')]
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def __get_score(self):
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score = 1 if 'to_ids' in self.header else 0
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if 'attribute_tag' in self.header:
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score += 2
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if 'category' in self.header:
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score += 4
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return score
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def __finalize_results(self):
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event = json.loads(self.misp_event.to_json())
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self.results = {key: event[key] for key in ('Attribute', 'Object') if (key in event and event[key])}
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def __any_mandatory_misp_field(header):
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return any(field in header for field in ('type', 'value'))
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def __special_parsing(data, delimiter):
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return list(tuple(part.strip() for part in line[0].split(delimiter)) for line in csv.reader(io.TextIOWrapper(io.BytesIO(data.encode()), encoding='utf-8')) if line and not line[0].startswith('#'))
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def __standard_parsing(data):
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return list(tuple(part.strip() for part in line) for line in csv.reader(io.TextIOWrapper(io.BytesIO(data.encode()), encoding='utf-8')) if line and not line[0].startswith('#'))
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def handler(q=False):
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if q is False:
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return False
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request = json.loads(q)
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if request.get('data'):
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try:
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data = base64.b64decode(request['data']).decode('utf-8')
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except UnicodeDecodeError:
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misperrors['error'] = "Input is not valid UTF-8"
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return misperrors
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else:
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misperrors['error'] = "Unsupported attributes type"
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return misperrors
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has_header = request['config'].get('has_header')
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has_header = True if has_header == '1' else False
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header = request['config']['header'].split(',') if request['config'].get('header').strip() else []
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delimiter = request['config']['special_delimiter'] if request['config'].get('special_delimiter').strip() else ','
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data = __standard_parsing(data) if delimiter == ',' else __special_parsing(data, delimiter)
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if not header:
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if has_header:
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header = data.pop(0)
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else:
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misperrors['error'] = "Configuration error. Provide a header or use the one within the csv file and tick the checkbox 'Has_header'."
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return misperrors
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else:
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header = [h.strip() for h in header]
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if has_header:
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del data[0]
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if header == misp_standard_csv_header or header == misp_extended_csv_header:
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header = misp_standard_csv_header
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descFilename = os.path.join(pymisp_path[0], 'data/describeTypes.json')
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with open(descFilename, 'r') as f:
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description = json.loads(f.read())['result']
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MISPtypes = description['types']
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for h in header:
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if not any((h in MISPtypes, h in misp_extended_csv_header, h in ('', ' ', '_', 'object_id'))):
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misperrors['error'] = 'Wrong header field: {}. Please use a header value that can be recognized by MISP (or alternatively skip it using a whitespace).'.format(h)
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return misperrors
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from_misp = all((h in misp_extended_csv_header or h in ('', ' ', '_', 'object_id') for h in header))
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if from_misp:
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if not __any_mandatory_misp_field(header):
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misperrors['error'] = 'Please make sure the data you try to import can be identified with a type/value combinaison.'
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return misperrors
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else:
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if __any_mandatory_misp_field(header):
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wrong_types = tuple(wrong_type for wrong_type in ('type', 'value') if wrong_type in header)
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misperrors['error'] = 'Error with the following header: {}. It contains the following field(s): {}, which is(are) already provided by the usage of at least on MISP attribute type in the header.'.format(header, 'and'.join(wrong_types))
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return misperrors
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csv_parser = CsvParser(header, has_header, delimiter, data, from_misp, MISPtypes, description['categories'])
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# build the attributes
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result = csv_parser.parse_csv()
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if 'error' in result:
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return result
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return {'results': csv_parser.results}
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def introspection():
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return mispattributes
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def version():
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moduleinfo['config'] = moduleconfig
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return moduleinfo
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