本文整理汇总了Python中stix.indicator.Indicator.likely_impact方法的典型用法代码示例。如果您正苦于以下问题：Python Indicator.likely_impact方法的具体用法？Python Indicator.likely_impact怎么用？Python Indicator.likely_impact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stix.indicator.Indicator的用法示例。
在下文中一共展示了Indicator.likely_impact方法的2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: main
# 需要导入模块: from stix.indicator import Indicator [as 别名]
# 或者: from stix.indicator.Indicator import likely_impact [as 别名]
def main():
file_hash = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
badness = 0 # Value between 0-100, or None if the badness is unknown
sp = STIXPackage()
sp.stix_header = STIXHeader()
sp.stix_header.title = "File Hash Reputation for %s" % file_hash
sp.stix_header.add_package_intent("Indicators - Malware Artifacts")
sp.stix_header.information_source = InformationSource()
sp.stix_header.information_source.identity = Identity()
sp.stix_header.information_source.identity.name = "TAXII Service Profile: File Hash Reputation"
file_obj = File()
file_obj.add_hash(file_hash)
file_obj.hashes[0].simple_hash_value.condition = "Equals"
indicator = Indicator(title="File Hash Reputation")
indicator.indicator_type = "File Hash Reputation"
indicator.add_observable(file_obj)
if badness is None:
indicator.likely_impact = "Unknown"
else:
vs = VocabString(str(badness))
vs.vocab_name = 'percentage'
vs.vocab_reference = "http://en.wikipedia.org/wiki/Percentage"
indicator.likely_impact = vs
sp.add_indicator(indicator)
stix_xml = sp.to_xml()
poll_response = tm11.PollResponse(message_id=generate_message_id(),
in_response_to="1234",
collection_name='file_hash_reputation')
cb = tm11.ContentBlock(content_binding=CB_STIX_XML_111,
content=stix_xml)
poll_response.content_blocks.append(cb)
print poll_response.to_xml(pretty_print=True)示例2: buildIndicator
# 需要导入模块: from stix.indicator import Indicator [as 别名]
# 或者: from stix.indicator.Indicator import likely_impact [as 别名]
def buildIndicator(input_dict):
indicator = Indicator()
indicator.description = input_dict["description"]
if input_dict["confidence"]:
indicator.confidence = input_dict["confidence"]
if input_dict["impact"]:
indicator.likely_impact = input_dict["impact"]
if input_dict["producer"]:
indicator.producer = InformationSource()
indicator.producer.identity = Identity(input_dict["producer"])
indicator.title = input_dict["title"]
indicator.add_valid_time_position(valid_time.ValidTime(input_dict["starttime"], input_dict["endtime"]))
if input_dict["type"]:
indicator.add_indicator_type(input_dict["type"])
return indicator