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.identity = Identity.from_dict(dict_repr.get('identity'))
return_obj.types = [Statement.from_dict(x) for x in dict_repr.get('types', [])]
return_obj.motivations = [Statement.from_dict(x) for x in dict_repr.get('motivations', [])]
return_obj.sophistications = [Statement.from_dict(x) for x in dict_repr.get('sophistications', [])]
return_obj.intended_effects = [Statement.from_dict(x) for x in dict_repr.get('intended_effects', [])]
return_obj.planning_and_operational_supports = [Statement.from_dict(x)
for x in dict_repr.get('planning_and_operational_supports', [])]
return_obj.observed_ttps = ObservedTTPs.from_dict(dict_repr.get('observed_ttps'))
return_obj.associated_campaigns = AssociatedCampaigns.from_dict(dict_repr.get('associated_campaigns'))
return_obj.associated_actors = AssociatedActors.from_dict(dict_repr.get('associated_actors'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.confidence = Confidence.from_dict(dict_repr.get('confidence'))
return_obj.information_source = InformationSource.from_dict(dict_repr.get('information_source'))
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')
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()
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(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()
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.identity = Identity.from_dict(dict_repr.get('identity'))
return_obj.types = [
Statement.from_dict(x) for x in dict_repr.get('types', [])
]
return_obj.motivations = [
Statement.from_dict(x) for x in dict_repr.get('motivations', [])
]
return_obj.sophistications = [
Statement.from_dict(x)
for x in dict_repr.get('sophistications', [])
]
return_obj.intended_effects = [
Statement.from_dict(x)
for x in dict_repr.get('intended_effects', [])
]
return_obj.planning_and_operational_supports = [
Statement.from_dict(x)
for x in dict_repr.get('planning_and_operational_supports', [])
]
return_obj.observed_ttps = ObservedTTPs.from_dict(
dict_repr.get('observed_ttps'))
return_obj.associated_campaigns = AssociatedCampaigns.from_dict(
dict_repr.get('associated_campaigns'))
return_obj.associated_actors = AssociatedActors.from_dict(
dict_repr.get('associated_actors'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
return_obj.confidence = Confidence.from_dict(
dict_repr.get('confidence'))
return_obj.information_source = InformationSource.from_dict(
dict_repr.get('information_source'))
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')
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.behavior = Behavior.from_dict(dict_repr.get('behavior'))
return_obj.related_ttps = RelatedTTPs.from_dict(
dict_repr.get('related_ttps'))
return_obj.exploit_targets = ExploitTargets.from_dict(
dict_repr.get('exploit_targets'))
return_obj.information_source = InformationSource.from_dict(
dict_repr.get('information_source'))
return_obj.intended_effects = [
Statement.from_dict(x)
for x in dict_repr.get('intended_effects', [])
]
return_obj.resources = Resource.from_dict(dict_repr.get('resources'))
return_obj.victim_targeting = VictimTargeting.from_dict(
dict_repr.get('victim_targeting'))
return_obj.handling = Marking.from_dict(dict_repr.get('handling'))
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 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.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, d, return_obj=None):
if not d:
return None
from stix.extensions.test_mechanism.snort_test_mechanism import SnortTestMechanism
if not return_obj:
klass = _BaseTestMechanism.lookup_class(d.get('xsi:type'))
return_obj = klass.from_dict(d)
else:
return_obj.id_ = d.get('id')
return_obj.idref = d.get('idref')
return_obj.efficacy = Statement.from_dict(d.get('efficacy'))
return_obj.producer = InformationSource.from_dict(d.get('producer'))
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, d, return_obj=None):
if not d:
return None
from stix.extensions.test_mechanism.snort_test_mechanism import SnortTestMechanism
from stix.extensions.test_mechanism.open_ioc_2010_test_mechanism import OpenIOCTestMechanism
if not return_obj:
klass = _BaseTestMechanism.lookup_class(d.get('xsi:type'))
return_obj = klass.from_dict(d)
else:
return_obj.id_ = d.get('id')
return_obj.idref = d.get('idref')
return_obj.efficacy = Statement.from_dict(d.get('efficacy'))
return_obj.producer = InformationSource.from_dict(
d.get('producer'))
return return_obj
def from_dict(cls, d, return_obj=None):
if not d:
return None
import stix.extensions.test_mechanism.snort_test_mechanism # noqa
import stix.extensions.test_mechanism.open_ioc_2010_test_mechanism # noqa
import stix.extensions.test_mechanism.yara_test_mechanism # noqa
import stix.extensions.test_mechanism.generic_test_mechanism # noqa
if not return_obj:
klass = stix.lookup_extension(d.get('xsi:type'))
return_obj = klass.from_dict(d)
else:
return_obj.id_ = d.get('id')
return_obj.idref = d.get('idref')
return_obj.efficacy = Statement.from_dict(d.get('efficacy'))
return_obj.producer = InformationSource.from_dict(d.get('producer'))
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_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, d, return_obj=None):
if not d:
return None
import stix.extensions.test_mechanism.snort_test_mechanism # noqa
import stix.extensions.test_mechanism.open_ioc_2010_test_mechanism # noqa
import stix.extensions.test_mechanism.yara_test_mechanism # noqa
import stix.extensions.test_mechanism.generic_test_mechanism # noqa
if not return_obj:
klass = stix.lookup_extension(d.get('xsi:type'))
return_obj = klass.from_dict(d)
else:
return_obj.id_ = d.get('id')
return_obj.idref = d.get('idref')
return_obj.efficacy = Statement.from_dict(d.get('efficacy'))
return_obj.producer = InformationSource.from_dict(
d.get('producer'))
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.behavior = Behavior.from_dict(dict_repr.get('behavior'))
return_obj.related_ttps = RelatedTTPs.from_dict(dict_repr.get('related_ttps'))
return_obj.information_source = InformationSource.from_dict(dict_repr.get('information_source'))
return_obj.intended_effects = [Statement.from_dict(x) for x in dict_repr.get('intended_effects', [])]
return_obj.resources = Resource.from_dict(dict_repr.get('resources'))
return_obj.victim_targeting = VictimTargeting.from_dict(dict_repr.get('victim_targeting'))
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
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', 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.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 return_obj
