def from_dict(cls, dict_repr, return_obj=None):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
super(Indicator, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get
return_obj.negate = get('negate')
return_obj.alternative_id = get('alternative_id')
return_obj.indicated_ttps = _IndicatedTTPs.from_dict(get('indicated_ttps'))
return_obj.test_mechanisms = TestMechanisms.from_list(get('test_mechanisms'))
return_obj.suggested_coas = SuggestedCOAs.from_dict(get('suggested_coas'))
return_obj.sightings = Sightings.from_dict(get('sightings'))
return_obj.composite_indicator_expression = CompositeIndicatorExpression.from_dict(get('composite_indicator_expression'))
return_obj.kill_chain_phases = KillChainPhasesReference.from_dict(get('kill_chain_phases'))
return_obj.related_indicators = RelatedIndicators.from_dict(get('related_indicators'))
return_obj.likely_impact = Statement.from_dict(get('likely_impact'))
return_obj.indicator_types = IndicatorTypes.from_list(get('indicator_types'))
return_obj.confidence = Confidence.from_dict(get('confidence'))
return_obj.valid_time_positions = _ValidTimePositions.from_dict(get('valid_time_positions'))
return_obj.observable = Observable.from_dict(get('observable'))
return_obj.producer = InformationSource.from_dict(get('producer'))
return_obj.related_campaigns = RelatedCampaignRefs.from_dict(get('related_campaigns'))
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.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):
if not dict_repr:
return None
if not return_obj:
return_obj = cls()
super(TTP, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get
return_obj.behavior = Behavior.from_dict(get('behavior'))
return_obj.related_ttps = RelatedTTPs.from_dict(get('related_ttps'))
return_obj.exploit_targets = ExploitTargets.from_dict(get('exploit_targets'))
return_obj.intended_effects = _IntendedEffects.from_dict(get('intended_effects'))
return_obj.resources = Resource.from_dict(get('resources'))
return_obj.victim_targeting = VictimTargeting.from_dict(get('victim_targeting'))
return_obj.related_packages = RelatedPackageRefs.from_dict(get('related_packages'))
return_obj.kill_chain_phases = KillChainPhasesReference.from_dict(get('kill_chain_phases'))
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(Indicator, cls).from_dict(dict_repr, return_obj=return_obj)
get = dict_repr.get
return_obj.negate = get('negate')
return_obj.alternative_id = get('alternative_id')
return_obj.indicated_ttps = _IndicatedTTPs.from_dict(
get('indicated_ttps'))
return_obj.test_mechanisms = TestMechanisms.from_list(
get('test_mechanisms'))
return_obj.suggested_coas = SuggestedCOAs.from_dict(
get('suggested_coas'))
return_obj.sightings = Sightings.from_dict(get('sightings'))
return_obj.composite_indicator_expression = CompositeIndicatorExpression.from_dict(
get('composite_indicator_expression'))
return_obj.handling = Marking.from_dict(get('handling'))
return_obj.kill_chain_phases = KillChainPhasesReference.from_dict(
get('kill_chain_phases'))
return_obj.related_indicators = RelatedIndicators.from_dict(
get('related_indicators'))
return_obj.likely_impact = Statement.from_dict(get('likely_impact'))
return_obj.indicator_types = IndicatorTypes.from_list(
get('indicator_types'))
return_obj.confidence = Confidence.from_dict(get('confidence'))
return_obj.valid_time_positions = _ValidTimePositions.from_dict(
get('valid_time_positions'))
return_obj.observable = Observable.from_dict(get('observable'))
return_obj.producer = InformationSource.from_dict(get('producer'))
return_obj.related_campaigns = RelatedCampaignRefs.from_dict(
get('related_campaigns'))
return_obj.related_packages = RelatedPackageRefs.from_dict(
get('related_packages'))
return return_obj
