本文整理汇总了Python中cybox.objects.address_object.Address.title方法的典型用法代码示例。如果您正苦于以下问题：Python Address.title方法的具体用法？Python Address.title怎么用？Python Address.title使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类cybox.objects.address_object.Address的用法示例。
在下文中一共展示了Address.title方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: csv2stix
# 需要导入模块: from cybox.objects.address_object import Address [as 别名]
# 或者: from cybox.objects.address_object.Address import title [as 别名]
def csv2stix(outFormat,inFile):
#=============
# Build package metadata
#=============
stix_package = STIXPackage()
stix_package.stix_header = STIXHeader()
stix_package.stix_header.title = "TG3390"
stix_package.stix_header.description = "Dell SecureWorks Counter Threat Unit(TM) (CTU) researchers investigated activities associated with Threat Group-3390[1] (TG-3390) - http://www.secureworks.com/cyber-threat-intelligence/threats/threat-group-3390-targets-organizations-for-cyberespionage/"
marking_specification = MarkingSpecification()
marking_specification.controlled_structure = "../../../../descendant-or-self::node()"
tlp = TLPMarkingStructure()
tlp.color = "WHITE"
marking_specification.marking_structures.append(tlp)
handling = Marking()
handling.add_marking(marking_specification)
stix_package.stix_header.handling = handling
#=============
# Build package structure
#=============
ta_tg3390 = ThreatActor(title="TG3390")
ta_tg3390.identity = Identity(name="TG3390")
attack_pattern = AttackPattern()
attack_pattern.description = ("Infrastructure Building")
ttp_infrastructure = TTP(title="Infrastructure Building")
ttp_infrastructure.behavior = Behavior()
ttp_infrastructure.behavior.add_attack_pattern(attack_pattern)
ttp_infrastructure.add_intended_effect("Unauthorized Access")
infra_domainInd = Indicator(title="Domains associated with TG3390 Infrastructure")
infra_domainInd.add_indicator_type("Domain Watchlist")
infra_domainInd.confidence = "High"
infra_domainInd.add_indicated_ttp(TTP(idref=ttp_infrastructure.id_))
infra_IPInd = Indicator(title="[H] IP Addresses associated with TG3390 Infrastructure")
infra_IPInd.add_indicator_type("IP Watchlist")
infra_IPInd.confidence = "High"
infra_IPInd.add_indicated_ttp(TTP(idref=ttp_infrastructure.id_))
infra_IPInd_M = Indicator(title="[M] IP Addresses associated with TG3390 Infrastructure")
infra_IPInd_M.add_indicator_type("IP Watchlist")
infra_IPInd_M.confidence = "Medium"
infra_IPInd_M.add_indicated_ttp(TTP(idref=ttp_infrastructure.id_))
httpBrowserObj = MalwareInstance()
httpBrowserObj.add_name("HTTP Browser")
ttp_httpB = TTP(title="HTTP Browser")
ttp_httpB.behavior = Behavior()
ttp_httpB.behavior.add_malware_instance(httpBrowserObj)
ttp_httpB.add_intended_effect("Theft - Intellectual Property")
httpB_hashInd = Indicator(title="File hashes for HTTP Browser")
httpB_hashInd.add_indicator_type("File Hash Watchlist")
httpB_hashInd.confidence = "High"
httpB_hashInd.add_indicated_ttp(TTP(idref=ttp_httpB.id_))
httpBrowserDropperObj = MalwareInstance()
httpBrowserDropperObj.add_name("HTTP Browser Dropper")
ttp_httpBDpr = TTP(title="HTTP Browser Dropper")
ttp_httpBDpr.behavior = Behavior()
ttp_httpBDpr.behavior.add_malware_instance(httpBrowserDropperObj)
ttp_httpBDpr.add_intended_effect("Theft - Intellectual Property")
httpBDpr_hashInd = Indicator(title="File hashes for HTTP Browser Dropper")
httpBDpr_hashInd.add_indicator_type("File Hash Watchlist")
httpBDpr_hashInd.confidence = "High"
httpBDpr_hashInd.add_indicated_ttp(TTP(idref=ttp_httpBDpr.id_))
plugXObj = MalwareInstance()
plugXObj.add_name("PlugX Dropper")
ttp_plugX = TTP(title="PlugX Dropper")
ttp_plugX.behavior = Behavior()
ttp_plugX.behavior.add_malware_instance(plugXObj)
ttp_plugX.add_intended_effect("Theft - Intellectual Property")
plugX_hashInd = Indicator(title="File hashes for PlugX Dropper")
plugX_hashInd.add_indicator_type("File Hash Watchlist")
plugX_hashInd.confidence = "High"
plugX_hashInd.add_indicated_ttp(TTP(idref=ttp_plugX.id_))
#=============
# Process content in to structure
#=============
ip_rules = []
ip_rules_M = []
domain_rules = []
with open(inFile, 'rb') as f:
reader = csv.reader(f)
for row in reader:
obs = row[0]
obsType = row[1]
description = row[2]
confidence = row[3]
#print obs,obsType,description,confidence
#.........这里部分代码省略.........