mirror of https://github.com/MISP/PyMISPGalaxies
345 lines
12 KiB
Python
345 lines
12 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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from json import JSONEncoder
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import os
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import sys
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from collections.abc import Mapping
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from glob import glob
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import re
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from typing import List, Dict, Optional, Any, Tuple, Iterator, overload, Union
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if sys.version_info >= (3, 8):
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from typing import Literal
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else:
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from typing_extensions import Literal
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try:
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import jsonschema # type: ignore
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HAS_JSONSCHEMA = True
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except ImportError:
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HAS_JSONSCHEMA = False
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class EncodeGalaxies(JSONEncoder):
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def default(self, obj: Any) -> Dict[str, str]:
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if isinstance(obj, Galaxy):
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return obj.to_dict()
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return JSONEncoder.default(self, obj)
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class EncodeClusters(JSONEncoder):
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def default(self, obj: Any) -> Dict[str, str]:
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if isinstance(obj, (Cluster, ClusterValue, ClusterValueMeta)):
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return obj.to_dict()
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return JSONEncoder.default(self, obj)
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class PyMISPGalaxiesError(Exception):
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def __init__(self, message: str):
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super(PyMISPGalaxiesError, self).__init__(message)
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self.message = message
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class UnableToRevertMachinetag(PyMISPGalaxiesError):
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pass
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class Galaxy():
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def __init__(self, galaxy: Dict[str, str]):
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self.galaxy = galaxy
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self.type = self.galaxy['type']
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self.name = self.galaxy['name']
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self.icon = self.galaxy['icon']
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self.description = self.galaxy['description']
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self.version = self.galaxy['version']
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self.uuid = self.galaxy['uuid']
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self.namespace = self.galaxy.pop('namespace', None)
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self.kill_chain_order = self.galaxy.pop('kill_chain_order', None)
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def to_json(self) -> str:
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return json.dumps(self, cls=EncodeGalaxies)
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def to_dict(self) -> Dict[str, str]:
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to_return = {'type': self.type, 'name': self.name, 'description': self.description,
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'version': self.version, 'uuid': self.uuid, 'icon': self.icon}
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if self.namespace:
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to_return['namespace'] = self.namespace
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if self.kill_chain_order:
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to_return['kill_chain_order'] = self.kill_chain_order
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return to_return
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class Galaxies(Mapping): # type: ignore
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def __init__(self, galaxies: List[Dict[str, str]]=[]):
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if not galaxies:
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galaxies = []
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self.root_dir_galaxies = os.path.join(os.path.abspath(os.path.dirname(sys.modules['pymispgalaxies'].__file__)), # type: ignore
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'data', 'misp-galaxy', 'galaxies')
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for galaxy_file in glob(os.path.join(self.root_dir_galaxies, '*.json')):
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with open(galaxy_file, 'r') as f:
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galaxies.append(json.load(f))
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self.galaxies = {}
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for galaxy in galaxies:
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self.galaxies[galaxy['name']] = Galaxy(galaxy)
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def validate_with_schema(self) -> None:
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if not HAS_JSONSCHEMA:
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raise ImportError('jsonschema is required: pip install jsonschema')
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schema = os.path.join(os.path.abspath(os.path.dirname(sys.modules['pymispgalaxies'].__file__)), # type: ignore
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'data', 'misp-galaxy', 'schema_galaxies.json')
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with open(schema, 'r') as f:
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loaded_schema = json.load(f)
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for g in self.galaxies.values():
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jsonschema.validate(g.galaxy, loaded_schema)
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def __getitem__(self, name: str) -> Galaxy:
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return self.galaxies[name]
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def __iter__(self) -> Iterator[str]:
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return iter(self.galaxies)
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def __len__(self) -> int:
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return len(self.galaxies)
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class ClusterValueMeta():
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def __init__(self, m: Dict[str, str]):
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self.type = m.pop('type', None)
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self.complexity = m.pop('complexity', None)
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self.effectiveness = m.pop('effectiveness', None)
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self.country = m.pop('country', None)
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self.possible_issues = m.pop('possible_issues', None)
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self.colour = m.pop('colour', None)
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self.motive = m.pop('motive', None)
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self.impact = m.pop('impact', None)
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self.refs = m.pop('refs', None)
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self.synonyms = m.pop('synonyms', None)
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self.derivated_from = m.pop('derivated_from', None)
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self.status = m.pop('status', None)
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self.date = m.pop('date', None)
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self.encryption = m.pop('encryption', None)
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self.extensions = m.pop('extensions', None)
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self.ransomnotes = m.pop('ransomnotes', None)
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# NOTE: meta can have aditional properties. We only load the ones
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# defined on the schema
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self.additional_properties = m
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def to_json(self) -> str:
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return json.dumps(self, cls=EncodeClusters)
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def to_dict(self) -> Dict[str, str]:
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to_return = {}
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if self.type:
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to_return['type'] = self.type
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if self.complexity:
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to_return['complexity'] = self.complexity
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if self.effectiveness:
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to_return['effectiveness'] = self.effectiveness
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if self.country:
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to_return['country'] = self.country
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if self.possible_issues:
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to_return['possible_issues'] = self.possible_issues
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if self.colour:
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to_return['colour'] = self.colour
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if self.motive:
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to_return['motive'] = self.motive
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if self.impact:
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to_return['impact'] = self.impact
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if self.refs:
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to_return['refs'] = self.refs
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if self.synonyms:
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to_return['synonyms'] = self.synonyms
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if self.derivated_from:
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to_return['derivated_from'] = self.derivated_from
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if self.status:
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to_return['status'] = self.status
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if self.date:
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to_return['date'] = self.date
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if self.encryption:
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to_return['encryption'] = self.encryption
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if self.extensions:
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to_return['extensions'] = self.extensions
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if self.ransomnotes:
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to_return['ransomnotes'] = self.ransomnotes
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if self.additional_properties:
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to_return.update(self.additional_properties)
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return to_return
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class ClusterValue():
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def __init__(self, v: Dict[str, Any]):
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if not v['value']:
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raise PyMISPGalaxiesError("Invalid cluster (no value): {}".format(v))
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self.uuid = v.get('uuid', None)
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self.value = v['value']
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self.description = v.get('description')
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self.meta = self.__init_meta(v.get('meta'))
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self.searchable = [self.value]
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if self.uuid:
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self.searchable.append(self.uuid)
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if self.meta and self.meta.synonyms:
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self.searchable += self.meta.synonyms
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self.searchable = list(set(self.searchable))
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def __init_meta(self, m: Optional[Dict[str, str]]) -> Optional[ClusterValueMeta]:
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if not m:
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return None
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return ClusterValueMeta(m)
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def to_json(self) -> str:
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return json.dumps(self, cls=EncodeClusters)
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def to_dict(self) -> Dict[str, Any]:
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to_return = {'value': self.value}
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if self.uuid:
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to_return['uuid'] = self.uuid
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if self.description:
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to_return['description'] = self.description
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if self.meta:
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to_return['meta'] = self.meta
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return to_return
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class Cluster(Mapping): # type: ignore
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def __init__(self, cluster: Dict[str, Any], skip_duplicates: bool=False):
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self.cluster = cluster
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self.name = self.cluster['name']
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self.type = self.cluster['type']
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self.source = self.cluster['source']
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self.authors = self.cluster['authors']
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self.description = self.cluster['description']
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self.uuid = self.cluster['uuid']
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self.version = self.cluster['version']
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self.category = self.cluster['category']
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self.cluster_values = {}
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self.duplicates = []
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for value in self.cluster['values']:
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new_cluster_value = ClusterValue(value)
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if self.get(new_cluster_value.value):
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if skip_duplicates:
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self.duplicates.append((self.name, new_cluster_value.value))
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else:
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raise PyMISPGalaxiesError("Duplicate value ({}) in cluster: {}".format(new_cluster_value.value, self.name))
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self.cluster_values[new_cluster_value.value] = new_cluster_value
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@overload
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def search(self, query: str, return_tags: Literal[False]=False) -> List[ClusterValue]:
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...
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@overload
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def search(self, query: str, return_tags: Literal[True]) -> List[str]:
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...
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@overload
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def search(self, query: str, return_tags: bool) -> Union[List[ClusterValue], List[str]]:
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...
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def search(self, query: str, return_tags: bool=False) -> Union[List[ClusterValue], List[str]]:
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matching = []
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for v in self.values():
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if [s for s in v.searchable if query.lower() in s.lower()]:
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if return_tags:
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matching.append('misp-galaxy:{}="{}"'.format(self.type, v.value))
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pass
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else:
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matching.append(v)
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return matching
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def machinetags(self) -> List[str]:
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to_return = []
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for v in self.values():
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to_return.append('misp-galaxy:{}="{}"'.format(self.type, v.value))
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return to_return
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def __str__(self) -> str:
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return '\n'.join(self.machinetags())
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def __getitem__(self, name: str) -> ClusterValue:
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return self.cluster_values[name]
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def __len__(self) -> int:
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return len(self.cluster_values)
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def __iter__(self) -> Iterator[str]:
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return iter(self.cluster_values)
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def to_json(self) -> str:
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return json.dumps(self, cls=EncodeClusters)
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def to_dict(self) -> Dict[str, Any]:
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to_return = {'name': self.name, 'type': self.type, 'source': self.source,
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'authors': self.authors, 'description': self.description,
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'uuid': self.uuid, 'version': self.version, 'category': self.category,
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'values': []}
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to_return['values'] = [v for v in self.values()]
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return to_return
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class Clusters(Mapping): # type: ignore
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def __init__(self, clusters: List[Dict[str, str]]=[], skip_duplicates: bool=False):
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if not clusters:
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clusters = []
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self.root_dir_clusters = os.path.join(os.path.abspath(os.path.dirname(sys.modules['pymispgalaxies'].__file__)), # type: ignore
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'data', 'misp-galaxy', 'clusters')
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for cluster_file in glob(os.path.join(self.root_dir_clusters, '*.json')):
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with open(cluster_file, 'r') as f:
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clusters.append(json.load(f))
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self.clusters = {}
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for cluster in clusters:
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self.clusters[cluster['type']] = Cluster(cluster, skip_duplicates=skip_duplicates)
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def validate_with_schema(self) -> None:
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if not HAS_JSONSCHEMA:
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raise ImportError('jsonschema is required: pip install jsonschema')
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schema = os.path.join(os.path.abspath(os.path.dirname(sys.modules['pymispgalaxies'].__file__)), # type: ignore
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'data', 'misp-galaxy', 'schema_clusters.json')
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with open(schema, 'r') as f:
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loaded_schema = json.load(f)
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for c in self.values():
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jsonschema.validate(c.cluster, loaded_schema)
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def all_machinetags(self) -> List[str]:
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return [cluster.machinetags() for cluster in self.values()]
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def revert_machinetag(self, machinetag: str) -> Tuple[Cluster, ClusterValue]:
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try:
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_, cluster_type, cluster_value = re.findall('^([^:]*):([^=]*)="([^"]*)"$', machinetag)[0]
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cluster: Cluster = self[cluster_type]
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value: ClusterValue = cluster[cluster_value]
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return cluster, value
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except Exception:
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raise UnableToRevertMachinetag('The machinetag {} could not be found.'.format(machinetag))
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def search(self, query: str, return_tags: bool=False) -> List[Tuple[Cluster, str]]:
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to_return = []
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for cluster in self.values():
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values = cluster.search(query, return_tags)
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if not values:
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continue
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to_return.append((cluster, values))
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return to_return
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def __getitem__(self, name: str) -> Cluster:
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return self.clusters[name]
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def __iter__(self) -> Iterator[str]:
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return iter(self.clusters)
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def __len__(self) -> int:
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return len(self.clusters)
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def __str__(self) -> str:
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to_print = ''
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for cluster in self.values():
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to_print += '{}\n\n'.format(cluster)
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return to_print
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