def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
super(CourseOfAction, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get
return_obj.stage = VocabString.from_dict(get('stage'))
return_obj.type_ = VocabString.from_dict(get('type'))
return_obj.objective = Objective.from_dict(get('objective'))
return_obj.parameter_observables = \
Observables.from_dict(get('parameter_observables'))
return_obj.impact = Statement.from_dict(get('impact'))
return_obj.cost = Statement.from_dict(get('cost'))
return_obj.efficacy = Statement.from_dict(get('efficacy'))
return_obj.related_coas = \
RelatedCOAs.from_dict(get('related_coas'))
return_obj.related_packages = \
related.RelatedPackageRefs.from_dict(get('related_packages'))
return_obj.structured_coa = \
_BaseStructuredCOA.from_dict(get('structured_coa'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
xsi_type = dict_repr.get('xsi:type')
if xsi_type:
klass = MalwareInstance.lookup_class(dict_repr.get('xsi:type'))
return_obj = klass.from_dict(dict_repr)
else:
return_obj = MalwareInstance.from_dict(dict_repr, cls())
else:
return_obj.id_ = dict_repr.get('id')
return_obj.title = dict_repr.get('title')
return_obj.description = StructuredText.from_dict(
dict_repr.get('description'))
return_obj.short_description = StructuredText.from_dict(
dict_repr.get('short_description'))
return_obj.names = [
VocabString.from_dict(x) for x in dict_repr.get('names', [])
]
return_obj.types = [
VocabString.from_dict(x) for x in dict_repr.get('types', [])
]
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.id_ = dict_repr.get('id')
return_obj.idref = dict_repr.get('idref')
return_obj.timestamp = dict_repr.get('timestamp')
return_obj.version = dict_repr.get('version', cls._version)
return_obj.title = dict_repr.get('title')
return_obj.stage = VocabString.from_dict(dict_repr.get('stage'))
return_obj.type_ = VocabString.from_dict(dict_repr.get('type'))
return_obj.description = StructuredText.from_dict(
dict_repr.get('description'))
return_obj.short_description = StructuredText.from_dict(
dict_repr.get('short_description'))
return_obj.objective = Objective.from_dict(dict_repr.get('objective'))
return_obj.parameter_observables = \
Observables.from_dict(dict_repr.get('parameter_observables'))
return_obj.impact = Statement.from_dict(dict_repr.get('impact'))
return_obj.cost = Statement.from_dict(dict_repr.get('cost'))
return_obj.efficacy = Statement.from_dict(dict_repr.get('efficacy'))
return_obj.information_source = InformationSource.from_dict(
dict_repr.get('information_source'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.related_coas = \
RelatedCOAs.from_dict(dict_repr.get('related_coas'))
return_obj.related_packages = \
RelatedPackageRefs.from_dict(dict_repr.get('related_packages'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
super(CourseOfAction, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get
return_obj.stage = VocabString.from_dict(get('stage'))
return_obj.type_ = VocabString.from_dict(get('type'))
return_obj.objective = Objective.from_dict(get('objective'))
return_obj.parameter_observables = \
Observables.from_dict(get('parameter_observables'))
return_obj.impact = Statement.from_dict(get('impact'))
return_obj.cost = Statement.from_dict(get('cost'))
return_obj.efficacy = Statement.from_dict(get('efficacy'))
return_obj.related_coas = \
RelatedCOAs.from_dict(get('related_coas'))
return_obj.related_packages = \
related.RelatedPackageRefs.from_dict(get('related_packages'))
return_obj.structured_coa = \
_BaseStructuredCOA.from_dict(get('structured_coa'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
super(Incident, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get
return_obj.time = Time.from_dict(get('time'))
return_obj.victims = _Victims.from_dict(get('victims'))
return_obj.categories = IncidentCategories.from_dict(get('categories'))
return_obj.attributed_threat_actors = AttributedThreatActors.from_dict(get('attributed_threat_actors'))
return_obj.related_indicators = RelatedIndicators.from_dict(get('related_indicators'))
return_obj.related_observables = RelatedObservables.from_dict(get('related_observables'))
return_obj.related_incidents = RelatedIncidents.from_dict(get('related_incidents'))
return_obj.intended_effects = _IntendedEffects.from_list(get('intended_effects'))
return_obj.leveraged_ttps = LeveragedTTPs.from_dict(get('leveraged_ttps'))
return_obj.affected_assets = AffectedAssets.from_dict(get('affected_assets'))
return_obj.discovery_methods = DiscoveryMethods.from_dict(get('discovery_methods'))
return_obj.reporter = InformationSource.from_dict(get('reporter'))
return_obj.responders = _InformationSources.from_dict(get('responders'))
return_obj.coordinators = _InformationSources.from_dict(get('coordinators'))
return_obj.external_ids = _ExternalIDs.from_dict(get('external_ids'))
return_obj.impact_assessment = ImpactAssessment.from_dict(get('impact_assessment'))
return_obj.security_compromise = VocabString.from_dict(get('security_compromise'))
return_obj.confidence = Confidence.from_dict(get('confidence'))
return_obj.coa_taken = _COAsTaken.from_dict(get('coa_taken'))
return_obj.coa_requested = _COAsRequested.from_dict(get('coa_requested'))
return_obj.status = VocabString.from_dict(get('status'))
return_obj.history = History.from_dict(get('history'))
return_obj.related_packages = RelatedPackageRefs.from_dict(get('related_packages'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.id_ = dict_repr.get('id')
return_obj.idref = dict_repr.get('idref')
return_obj.timestamp = dict_repr.get('timestamp')
return_obj.version = dict_repr.get('version')
return_obj.title = dict_repr.get('title')
return_obj.stage = VocabString.from_dict(dict_repr.get('stage'))
return_obj.type_ = VocabString.from_dict(dict_repr.get('type'))
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.short_description = StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.objective = Objective.from_dict(dict_repr.get('objective'))
return_obj.parameter_observables = \
Observables.from_dict(dict_repr.get('parameter_observables'))
return_obj.impact = Statement.from_dict(dict_repr.get('impact'))
return_obj.cost = Statement.from_dict(dict_repr.get('cost'))
return_obj.efficacy = Statement.from_dict(dict_repr.get('efficacy'))
return_obj.information_source = InformationSource.from_dict(dict_repr.get('information_source'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.related_coas = \
RelatedCOAs.from_dict(dict_repr.get('related_coas'))
return_obj.related_packages = \
RelatedPackageRefs.from_dict(dict_repr.get('related_packages'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
super(Incident, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get
return_obj.time = Time.from_dict(get('time'))
return_obj.victims = _Victims.from_dict(get('victims'))
return_obj.categories = IncidentCategories.from_dict(get('categories'))
return_obj.attributed_threat_actors = AttributedThreatActors.from_dict(get('attributed_threat_actors'))
return_obj.related_indicators = RelatedIndicators.from_dict(get('related_indicators'))
return_obj.related_observables = RelatedObservables.from_dict(get('related_observables'))
return_obj.related_incidents = RelatedIncidents.from_dict(get('related_incidents'))
return_obj.intended_effects = _IntendedEffects.from_list(get('intended_effects'))
return_obj.leveraged_ttps = LeveragedTTPs.from_dict(get('leveraged_ttps'))
return_obj.affected_assets = AffectedAssets.from_dict(get('affected_assets'))
return_obj.discovery_methods = DiscoveryMethods.from_dict(get('discovery_methods'))
return_obj.reporter = InformationSource.from_dict(get('reporter'))
return_obj.responders = _InformationSources.from_dict(get('responders'))
return_obj.coordinators = _InformationSources.from_dict(get('coordinators'))
return_obj.external_ids = _ExternalIDs.from_dict(get('external_ids'))
return_obj.impact_assessment = ImpactAssessment.from_dict(get('impact_assessment'))
return_obj.security_compromise = VocabString.from_dict(get('security_compromise'))
return_obj.confidence = Confidence.from_dict(get('confidence'))
return_obj.coa_taken = _COAsTaken.from_dict(get('coa_taken'))
return_obj.status = VocabString.from_dict(get('status'))
return_obj.handling = Marking.from_dict(get('handling'))
return_obj.history = History.from_dict(get('history'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.identity = Identity.from_dict(dict_repr.get('identity'))
return_obj.targeted_systems = [VocabString.from_dict(x) for x in dict_repr.get('targeted_systems', [])]
return_obj.targeted_information = [VocabString.from_dict(x) for x in dict_repr.get('targeted_information', [])]
return_obj.targeted_technical_details = Observables.from_dict(dict_repr.get('targeted_technical_details'))
return return_obj
def from_dict(cls, dict_, return_obj=None):
if not dict_:
return None
if not return_obj:
return_obj = cls()
return_obj.asset_losses = VocabString.from_dict(dict_.get('asset_losses'))
return_obj.business_mission_disruption = VocabString.from_dict(dict_.get('business_mission_disruption'))
return_obj.response_and_recovery_costs = VocabString.from_dict(dict_.get('response_and_recovery_costs'))
return return_obj
def from_dict(cls, dict_, return_obj=None):
if not dict_:
return None
if not return_obj:
return_obj = cls()
return_obj.asset_losses = VocabString.from_dict(dict_.get('asset_losses'))
return_obj.business_mission_disruption = VocabString.from_dict(dict_.get('business_mission_disruption'))
return_obj.response_and_recovery_costs = VocabString.from_dict(dict_.get('response_and_recovery_costs'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.identity = Identity.from_dict(dict_repr.get('identity'))
return_obj.targeted_systems = [VocabString.from_dict(x) for x in dict_repr.get('targeted_systems', [])]
return_obj.targeted_information = [VocabString.from_dict(x) for x in dict_repr.get('targeted_information', [])]
return_obj.targeted_technical_details = Observables.from_dict(dict_repr.get('targeted_technical_details'))
return return_obj
def from_dict(cls, d, return_obj=None):
if not d:
return None
if not return_obj:
return_obj = cls()
return_obj.property_ = VocabString.from_dict(d.get(('property')))
return_obj.description_of_effect = StructuredText.from_dict(d.get('description_of_effect'))
return_obj.type_of_availability_loss = VocabString.from_dict(d.get('type_of_availability_loss'))
return_obj.duration_of_availability_loss = VocabString.from_dict(d.get('duration_of_availability_loss'))
return_obj.non_public_data_compromised = NonPublicDataCompromised.from_dict(d.get('non_public_data_compromised'))
return return_obj
def from_dict(cls, dict_, return_obj=None):
if not dict_:
return None
if not return_obj:
return_obj = cls()
return_obj.loss_of_competitive_advantage = VocabString.from_dict(dict_.get('loss_of_competitive_advantage'))
return_obj.brand_and_market_damage = VocabString.from_dict(dict_.get('brand_and_market_damage'))
return_obj.increased_operating_costs = VocabString.from_dict(dict_.get('increased_operating_costs'))
return_obj.legal_and_regulatory_costs = VocabString.from_dict(dict_.get('legal_and_regulatory_costs'))
return return_obj
def from_dict(cls, d, return_obj=None):
if not d:
return None
if not return_obj:
return_obj = cls()
return_obj.property_ = VocabString.from_dict(d.get('property'))
return_obj.description_of_effect = StructuredText.from_dict(d.get('description_of_effect'))
return_obj.type_of_availability_loss = VocabString.from_dict(d.get('type_of_availability_loss'))
return_obj.duration_of_availability_loss = VocabString.from_dict(d.get('duration_of_availability_loss'))
return_obj.non_public_data_compromised = NonPublicDataCompromised.from_dict(d.get('non_public_data_compromised'))
return return_obj
def from_dict(cls, dict_, return_obj=None):
if not dict_:
return None
if not return_obj:
return_obj = cls()
return_obj.loss_of_competitive_advantage = VocabString.from_dict(dict_.get('loss_of_competitive_advantage'))
return_obj.brand_and_market_damage = VocabString.from_dict(dict_.get('brand_and_market_damage'))
return_obj.increased_operating_costs = VocabString.from_dict(dict_.get('increased_operating_costs'))
return_obj.legal_and_regulatory_costs = VocabString.from_dict(dict_.get('legal_and_regulatory_costs'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
super(Campaign, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get # PEP 8 line lengths
return_obj.names = Names.from_dict(get('names'))
return_obj.intended_effects = \
_IntendedEffects.from_dict(get('intended_effects'))
return_obj.status = VocabString.from_dict(get('status'))
return_obj.related_ttps = \
RelatedTTPs.from_dict(get('related_ttps'))
return_obj.related_incidents = \
RelatedIncidents.from_dict(get('related_incidents'))
return_obj.related_indicators = \
RelatedIndicators.from_dict(get('related_indicators'))
return_obj.attribution = _AttributionList.from_list(get('attribution'))
return_obj.associated_campaigns = \
AssociatedCampaigns.from_dict(get('associated_campaigns'))
return_obj.confidence = \
Confidence.from_dict(get('confidence'))
return_obj.activity = _Activities.from_dict(get('activity'))
return_obj.related_packages = \
RelatedPackageRefs.from_dict(get('related_packages'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
super(Campaign, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get # PEP 8 line lengths
return_obj.names = Names.from_dict(get('names'))
return_obj.intended_effects = \
_IntendedEffects.from_dict(get('intended_effects'))
return_obj.status = VocabString.from_dict(get('status'))
return_obj.related_ttps = \
RelatedTTPs.from_dict(get('related_ttps'))
return_obj.related_incidents = \
RelatedIncidents.from_dict(get('related_incidents'))
return_obj.related_indicators = \
RelatedIndicators.from_dict(get('related_indicators'))
return_obj.attribution = _AttributionList.from_list(get('attribution'))
return_obj.associated_campaigns = \
AssociatedCampaigns.from_dict(get('associated_campaigns'))
return_obj.confidence = \
Confidence.from_dict(get('confidence'))
return_obj.activity = _Activities.from_dict(get('activity'))
return_obj.related_packages = \
RelatedPackageRefs.from_dict(get('related_packages'))
return return_obj
def from_dict(cls, d, return_obj=None):
if not d:
return None
if not return_obj:
return_obj = cls()
get = d.get
return_obj.type_ = AssetType.from_dict(get('type'))
return_obj.description = StructuredText.from_dict(get('description'))
return_obj.business_function_or_role = StructuredText.from_dict(get('business_function_or_role'))
return_obj.ownership_class = VocabString.from_dict(get('ownership_class'))
return_obj.management_class = VocabString.from_dict(get('management_class'))
return_obj.location_class = VocabString.from_dict(get('location_class'))
# return_obj.location = Location.from_dict(get('location'))
return_obj.nature_of_security_effect = NatureOfSecurityEffect.from_dict(get('nature_of_security_effect'))
return_obj.structured_description = Observables.from_dict(get('structured_description'))
return return_obj
def from_dict(cls, d, return_obj=None):
if not d:
return None
if not return_obj:
return_obj = cls()
get = d.get
return_obj.type_ = AssetType.from_dict(get('type'))
return_obj.descriptions = StructuredTextList.from_dict(get('description'))
return_obj.business_functions_or_roles = StructuredTextList.from_dict(get('business_function_or_role'))
return_obj.ownership_class = VocabString.from_dict(get('ownership_class'))
return_obj.management_class = VocabString.from_dict(get('management_class'))
return_obj.location_class = VocabString.from_dict(get('location_class'))
# return_obj.location = Location.from_dict(get('location'))
return_obj.nature_of_security_effect = NatureOfSecurityEffect.from_dict(get('nature_of_security_effect'))
return_obj.structured_description = Observables.from_dict(get('structured_description'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
xsi_type = dict_repr.get('xsi:type')
if xsi_type:
klass = MalwareInstance.lookup_class(dict_repr.get('xsi:type'))
return_obj = klass.from_dict(dict_repr)
else:
return_obj = MalwareInstance.from_dict(dict_repr, cls())
else:
return_obj.id_ = dict_repr.get('id')
return_obj.title = dict_repr.get('title')
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.short_description = StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.names = [VocabString.from_dict(x) for x in dict_repr.get('names', [])]
return_obj.types = [VocabString.from_dict(x) for x in dict_repr.get('types', [])]
return return_obj
def from_dict(cls, d, return_obj=None):
if not d:
return None
if not return_obj:
return_obj = cls()
super(GenericTestMechanism, cls).from_dict(d, return_obj)
return_obj.reference_location = d.get('reference_location')
return_obj.description = StructuredText.from_dict(d.get('description'))
return_obj.type_ = VocabString.from_dict(d.get('type'))
return_obj.specification = EncodedCDATA.from_dict(d.get('specification'))
return return_obj
def from_dict(cls, dict_, return_obj=None):
if not dict_:
return None
if not return_obj:
return_obj = cls()
return_obj.direct_impact_summary = DirectImpactSummary.from_dict(dict_.get('direct_impact_summary'))
return_obj.indirect_impact_summary = IndirectImpactSummary.from_dict(dict_.get('indirect_impact_summary'))
return_obj.total_loss_estimation = TotalLossEstimation.from_dict(dict_.get('total_loss_estimation'))
return_obj.impact_qualification = ImpactQualification.from_dict(dict_.get('impact_qualification'))
return_obj.effects = [VocabString.from_dict(x) for x in dict_.get('effects', [])]
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.id_ = dict_repr.get('id')
return_obj.title = dict_repr.get('title')
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.short_description = StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.types = [VocabString.from_dict(x) for x in dict_repr.get('types', [])]
return_obj.observable_characterization = Observables.from_dict(dict_repr.get('observable_characterization'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.id_ = dict_repr.get('id')
return_obj.title = dict_repr.get('title')
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.short_description = StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.types = [VocabString.from_dict(x) for x in dict_repr.get('types', [])]
return_obj.observable_characterization = Observables.from_dict(dict_repr.get('observable_characterization'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.title = dict_repr.get('title')
return_obj.package_intents = [VocabString.from_dict(x) for x in dict_repr.get('package_intents', [])]
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.information_source = InformationSource.from_dict(dict_repr.get('information_source'))
return_obj.profiles = dict_repr.get('profiles')
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
get = dict_repr.get
return_obj.direct_impact_summary = DirectImpactSummary.from_dict(get('direct_impact_summary'))
return_obj.indirect_impact_summary = IndirectImpactSummary.from_dict(get('indirect_impact_summary'))
return_obj.total_loss_estimation = TotalLossEstimation.from_dict(get('total_loss_estimation'))
return_obj.impact_qualification = VocabString.from_dict(get('impact_qualification'))
return_obj.effects = Effects.from_dict(get('effects'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.title = dict_repr.get('title')
return_obj.package_intents = [VocabString.from_dict(x) for x in dict_repr.get('package_intents', [])]
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.short_description = StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.information_source = InformationSource.from_dict(dict_repr.get('information_source'))
return_obj.profiles = dict_repr.get('profiles')
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.id_ = dict_repr.get('id')
return_obj.idref = dict_repr.get('idref')
return_obj.timestamp = dict_repr.get('timestamp')
return_obj.title = dict_repr.get('title')
return_obj.version = dict_repr.get('version', cls._version)
observable_dict = dict_repr.get('observable')
producer_dict = dict_repr.get('producer')
description_dict = dict_repr.get('description')
indicator_type_list = dict_repr.get('indicator_types', [])
confidence_dict = dict_repr.get('confidence')
alternative_id_dict = dict_repr.get('alternative_id')
valid_time_position_dict = dict_repr.get('valid_time_positions')
return_obj.short_description = StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.indicated_ttps = [RelatedTTP.from_dict(x) for x in dict_repr.get('indicated_ttps', [])]
return_obj.test_mechanisms = [_BaseTestMechanism.from_dict(x) for x in dict_repr.get('test_mechanisms', [])]
return_obj.suggested_coas = SuggestedCOAs.from_dict(dict_repr.get('suggested_coas'))
return_obj.sightings = Sightings.from_dict(dict_repr.get('sightings'))
return_obj.composite_indicator_expression = CompositeIndicatorExpression.from_dict(dict_repr.get('composite_indicator_expression'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.kill_chain_phases = KillChainPhasesReference.from_dict(dict_repr.get('kill_chain_phases'))
return_obj.related_indicators = RelatedIndicators.from_dict(dict_repr.get('related_indicators'))
return_obj.likely_impact = Statement.from_dict(dict_repr.get('likely_impact'))
if observable_dict:
return_obj.add_observable(Observable.from_dict(observable_dict))
if producer_dict:
return_obj.producer = InformationSource.from_dict(producer_dict)
if description_dict:
return_obj.description = StructuredText.from_dict(description_dict)
for indicator_type_dict in indicator_type_list:
return_obj.add_indicator_type(VocabString.from_dict(indicator_type_dict))
if confidence_dict:
return_obj.confidence = Confidence.from_dict(confidence_dict)
if alternative_id_dict:
return_obj.alternative_id = alternative_id_dict
if valid_time_position_dict:
for valid_time_position_type_dict in valid_time_position_dict:
return_obj.add_valid_time_position(ValidTime.from_dict(valid_time_position_type_dict))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
# To resolve circular dependency
# TODO: Improve how this extension is handled.
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.references = dict_repr.get('references')
return_obj.contributing_sources = ContributingSources.from_dict(dict_repr.get('contributing_sources'))
return_obj.identity = Identity.from_dict(dict_repr.get('identity'))
return_obj.time = cybox.common.Time.from_dict(dict_repr.get('time'))
return_obj.tools = cybox.common.ToolInformationList.from_list(dict_repr.get('tools'))
return_obj.roles = [VocabString.from_dict(x) for x in dict_repr.get('roles', [])]
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
# To resolve circular dependency
# TODO: Improve how this extension is handled.
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.references = dict_repr.get('references')
return_obj.contributing_sources = ContributingSources.from_dict(dict_repr.get('contributing_sources'))
return_obj.identity = Identity.from_dict(dict_repr.get('identity'))
return_obj.time = cybox.common.Time.from_dict(dict_repr.get('time'))
return_obj.tools = cybox.common.ToolInformationList.from_list(dict_repr.get('tools'))
return_obj.roles = [VocabString.from_dict(x) for x in dict_repr.get('roles', [])]
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
get = dict_repr.get
return_obj.direct_impact_summary = DirectImpactSummary.from_dict(
get('direct_impact_summary'))
return_obj.indirect_impact_summary = IndirectImpactSummary.from_dict(
get('indirect_impact_summary'))
return_obj.total_loss_estimation = TotalLossEstimation.from_dict(
get('total_loss_estimation'))
return_obj.impact_qualification = VocabString.from_dict(
get('impact_qualification'))
return_obj.effects = Effects.from_dict(get('effects'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.id_ = dict_repr.get('id')
return_obj.idref = dict_repr.get('idref')
return_obj.timestamp = dict_repr.get('timestamp')
return_obj.version = dict_repr.get('version', cls._version)
return_obj.title = dict_repr.get('title')
return_obj.description = \
StructuredText.from_dict(dict_repr.get('description'))
return_obj.short_description = \
StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.names = Names.from_dict(dict_repr.get('names'))
return_obj.intended_effect = \
[Statement.from_dict(x) for x in dict_repr.get('intended_effect', [])]
return_obj.status = VocabString.from_dict(dict_repr.get('status'))
return_obj.related_ttps = \
RelatedTTPs.from_dict(dict_repr.get('related_ttps'))
return_obj.related_incidents = \
RelatedIncidents.from_dict(dict_repr.get('related_incidents'))
return_obj.related_indicators = \
RelatedIndicators.from_dict(dict_repr.get('related_indicators'))
return_obj.attribution = \
[Attribution.from_dict(x) for x in
dict_repr.get('attribution', [])]
return_obj.associated_campaigns = \
AssociatedCampaigns.from_dict(dict_repr.get('associated_campaigns'))
return_obj.confidence = \
Confidence.from_dict(dict_repr.get('confidence'))
return_obj.activity = \
[Activity.from_dict(x) for x in dict_repr.get('activity', [])]
return_obj.information_source = \
InformationSource.from_dict(dict_repr.get('information_source'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.related_packages = \
RelatedPackageRefs.from_dict(dict_repr.get('related_packages'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.id_ = dict_repr.get('id')
return_obj.idref = dict_repr.get('idref')
return_obj.timestamp = dict_repr.get('timestamp')
return_obj.version = dict_repr.get('version', cls._version)
return_obj.title = dict_repr.get('title')
return_obj.description = \
StructuredText.from_dict(dict_repr.get('description'))
return_obj.short_description = \
StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.names = Names.from_dict(dict_repr.get('names'))
return_obj.intended_effects = \
[Statement.from_dict(x) for x in dict_repr.get('intended_effects', [])]
return_obj.status = VocabString.from_dict(dict_repr.get('status'))
return_obj.related_ttps = \
RelatedTTPs.from_dict(dict_repr.get('related_ttps'))
return_obj.related_incidents = \
RelatedIncidents.from_dict(dict_repr.get('related_incidents'))
return_obj.related_indicators = \
RelatedIndicators.from_dict(dict_repr.get('related_indicators'))
return_obj.attribution = \
[Attribution.from_dict(x) for x in
dict_repr.get('attribution', [])]
return_obj.associated_campaigns = \
AssociatedCampaigns.from_dict(dict_repr.get('associated_campaigns'))
return_obj.confidence = \
Confidence.from_dict(dict_repr.get('confidence'))
return_obj.activity = \
[Activity.from_dict(x) for x in dict_repr.get('activity', [])]
return_obj.information_source = \
InformationSource.from_dict(dict_repr.get('information_source'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.related_packages = \
RelatedPackageRefs.from_dict(dict_repr.get('related_packages'))
return return_obj
def from_dict(cls, dict_, return_obj=None):
if not dict_:
return None
if not return_obj:
return_obj = cls()
return_obj.direct_impact_summary = DirectImpactSummary.from_dict(
dict_.get('direct_impact_summary'))
return_obj.indirect_impact_summary = IndirectImpactSummary.from_dict(
dict_.get('indirect_impact_summary'))
return_obj.total_loss_estimation = TotalLossEstimation.from_dict(
dict_.get('total_loss_estimation'))
return_obj.impact_qualification = ImpactQualification.from_dict(
dict_.get('impact_qualification'))
return_obj.effects = [
VocabString.from_dict(x) for x in dict_.get('effects', [])
]
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.id_ = dict_repr.get('id')
return_obj.idref = dict_repr.get('idref')
return_obj.timestamp = dict_repr.get('timestamp')
return_obj.version = dict_repr.get('version', cls._version)
return_obj.title = dict_repr.get('title')
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.short_description = StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.time = Time.from_dict(dict_repr.get('time'))
return_obj.victims = [Identity.from_dict(x) for x in dict_repr.get('victims', [])]
return_obj.categories = [IncidentCategory.from_dict(x) for x in dict_repr.get('categories', [])]
return_obj.attributed_threat_actors = AttributedThreatActors.from_dict(dict_repr.get('attributed_threat_actors'))
return_obj.related_indicators = RelatedIndicators.from_dict(dict_repr.get('related_indicators'))
return_obj.related_observables = RelatedObservables.from_dict(dict_repr.get('related_observables'))
return_obj.related_incidents = RelatedIncidents.from_dict(dict_repr.get('related_incidents'))
return_obj.intended_effects = [Statement.from_dict(x) for x in dict_repr.get('intended_effects', [])]
return_obj.leveraged_ttps = LeveragedTTPs.from_dict(dict_repr.get('leveraged_ttps'))
return_obj.affected_assets = [AffectedAsset.from_dict(x) for x in dict_repr.get('affected_assets', [])]
return_obj.discovery_methdos = [DiscoveryMethod.from_dict(x) for x in dict_repr.get('discovery_methods', [])]
return_obj.reporter = InformationSource.from_dict(dict_repr.get('reporter'))
return_obj.responders = [InformationSource.from_dict(x) for x in dict_repr.get('responders', [])]
return_obj.coordinators = [InformationSource.from_dict(x) for x in dict_repr.get('coordinators', [])]
return_obj.external_ids = [ExternalID.from_dict(x) for x in dict_repr.get('external_ids', [])]
return_obj.impact_assessment = ImpactAssessment.from_dict(dict_repr.get('impact_assessment'))
return_obj.information_source = InformationSource.from_dict(dict_repr.get('information_source'))
return_obj.security_compromise = SecurityCompromise.from_dict(dict_repr.get('security_compromise'))
return_obj.confidence = Confidence.from_dict(dict_repr.get('confidence'))
return_obj.coa_taken = [COATaken.from_dict(x) for x in dict_repr.get('coa_taken', [])]
return_obj.status = VocabString.from_dict(dict_repr.get('status'))
return_obj.handling = Marking.from_obj(dict_repr.get('handling'))
return_obj.history = History.from_dict(dict_repr.get('history'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
return_obj.id_ = dict_repr.get('id')
return_obj.idref = dict_repr.get('idref')
return_obj.timestamp = dict_repr.get('timestamp')
return_obj.version = dict_repr.get('version')
return_obj.title = dict_repr.get('title')
return_obj.description = StructuredText.from_dict(dict_repr.get('description'))
return_obj.short_description = StructuredText.from_dict(dict_repr.get('short_description'))
return_obj.time = Time.from_dict(dict_repr.get('time'))
return_obj.victims = [Identity.from_dict(x) for x in dict_repr.get('victims', [])]
return_obj.categories = [IncidentCategory.from_dict(x) for x in dict_repr.get('categories', [])]
return_obj.attributed_threat_actors = AttributedThreatActors.from_dict(dict_repr.get('attributed_threat_actors'))
return_obj.related_indicators = RelatedIndicators.from_dict(dict_repr.get('related_indicators'))
return_obj.related_observables = RelatedObservables.from_dict(dict_repr.get('related_observables'))
return_obj.related_incidents = RelatedIncidents.from_dict(dict_repr.get('related_incidents'))
return_obj.intended_effects = [Statement.from_dict(x) for x in dict_repr.get('intended_effects', [])]
return_obj.leveraged_ttps = LeveragedTTPs.from_dict(dict_repr.get('leveraged_ttps'))
return_obj.affected_assets = [AffectedAsset.from_dict(x) for x in dict_repr.get('affected_assets', [])]
return_obj.discovery_methods = [DiscoveryMethod.from_dict(x) for x in dict_repr.get('discovery_methods', [])]
return_obj.reporter = InformationSource.from_dict(dict_repr.get('reporter'))
return_obj.responders = [InformationSource.from_dict(x) for x in dict_repr.get('responders', [])]
return_obj.coordinators = [InformationSource.from_dict(x) for x in dict_repr.get('coordinators', [])]
return_obj.external_ids = [ExternalID.from_dict(x) for x in dict_repr.get('external_ids', [])]
return_obj.impact_assessment = ImpactAssessment.from_dict(dict_repr.get('impact_assessment'))
return_obj.information_source = InformationSource.from_dict(dict_repr.get('information_source'))
return_obj.security_compromise = SecurityCompromise.from_dict(dict_repr.get('security_compromise'))
return_obj.confidence = Confidence.from_dict(dict_repr.get('confidence'))
return_obj.coa_taken = [COATaken.from_dict(x) for x in dict_repr.get('coa_taken', [])]
return_obj.status = VocabString.from_dict(dict_repr.get('status'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.history = History.from_dict(dict_repr.get('history'))
return return_obj
def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
super(Campaign, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get # PEP 8 line lengths
return_obj.names = Names.from_dict(get("names"))
return_obj.intended_effects = _IntendedEffects.from_dict(get("intended_effects"))
return_obj.status = VocabString.from_dict(get("status"))
return_obj.related_ttps = RelatedTTPs.from_dict(get("related_ttps"))
return_obj.related_incidents = RelatedIncidents.from_dict(get("related_incidents"))
return_obj.related_indicators = RelatedIndicators.from_dict(get("related_indicators"))
return_obj.attribution = _AttributionList.from_list(get("attribution"))
return_obj.associated_campaigns = AssociatedCampaigns.from_dict(get("associated_campaigns"))
return_obj.confidence = Confidence.from_dict(get("confidence"))
return_obj.activity = _Activities.from_dict(get("activity"))
return_obj.related_packages = RelatedPackageRefs.from_dict(get("related_packages"))
return return_obj
