本文整理汇总了Python中crits.indicators.indicator.Indicator.attack_type方法的典型用法代码示例。如果您正苦于以下问题:Python Indicator.attack_type方法的具体用法?Python Indicator.attack_type怎么用?Python Indicator.attack_type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crits.indicators.indicator.Indicator
的用法示例。
在下文中一共展示了Indicator.attack_type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: handle_indicator_insert
# 需要导入模块: from crits.indicators.indicator import Indicator [as 别名]
# 或者: from crits.indicators.indicator.Indicator import attack_type [as 别名]
def handle_indicator_insert(
ind, source, reference="", analyst="", method="", add_domain=False, add_relationship=False, cache={}
):
"""
Insert an individual indicator into the database.
NOTE: Setting add_domain to True will always create a relationship as well.
However, to create a relationship with an object that already exists before
this function was called, set add_relationship to True. This will assume
that the domain or IP object to create the relationship with already exists
and will avoid infinite mutual calls between, for example, add_update_ip
and this function. add domain/IP objects.
:param ind: Information about the indicator.
:type ind: dict
:param source: The source for this indicator.
:type source: list, str, :class:`crits.core.crits_mongoengine.EmbeddedSource`
:param reference: The reference to the data.
:type reference: str
:param analyst: The user adding this indicator.
:type analyst: str
:param method: Method of acquiring this indicator.
:type method: str
:param add_domain: If this indicator is also a top-level object, try to add
it.
:type add_domain: boolean
:param add_relationship: Attempt to add relationships if applicable.
:type add_relationship: boolean
:param cache: Cached data, typically for performance enhancements
during bulk uperations.
:type cache: dict
:returns: dict with keys:
"success" (boolean),
"message" (str) if failed,
"objectid" (str) if successful,
"is_new_indicator" (boolean) if successful.
"""
if ind["type"] not in IndicatorTypes.values():
return {"success": False, "message": "Not a valid Indicator Type: %s" % ind["type"]}
if ind["threat_type"] not in IndicatorThreatTypes.values():
return {"success": False, "message": "Not a valid Indicator Threat Type: %s" % ind["threat_type"]}
if ind["attack_type"] not in IndicatorAttackTypes.values():
return {"success": False, "message": "Not a valid Indicator Attack Type: " % ind["attack_type"]}
(ind["value"], error) = validate_indicator_value(ind["value"], ind["type"])
if error:
return {"success": False, "message": error}
is_new_indicator = False
dmain = None
ip = None
rank = {"unknown": 0, "benign": 1, "low": 2, "medium": 3, "high": 4}
if ind.get("status", None) is None or len(ind.get("status", "")) < 1:
ind["status"] = Status.NEW
indicator = Indicator.objects(
ind_type=ind["type"], lower=ind["lower"], threat_type=ind["threat_type"], attack_type=ind["attack_type"]
).first()
if not indicator:
indicator = Indicator()
indicator.ind_type = ind["type"]
indicator.threat_type = ind["threat_type"]
indicator.attack_type = ind["attack_type"]
indicator.value = ind["value"]
indicator.lower = ind["lower"]
indicator.description = ind["description"]
indicator.created = datetime.datetime.now()
indicator.confidence = EmbeddedConfidence(analyst=analyst)
indicator.impact = EmbeddedImpact(analyst=analyst)
indicator.status = ind["status"]
is_new_indicator = True
else:
if ind["status"] != Status.NEW:
indicator.status = ind["status"]
add_desc = "\nSeen on %s as: %s" % (str(datetime.datetime.now()), ind["value"])
if indicator.description is None:
indicator.description = add_desc
else:
indicator.description += add_desc
if "campaign" in ind:
if isinstance(ind["campaign"], basestring) and len(ind["campaign"]) > 0:
confidence = ind.get("campaign_confidence", "low")
ind["campaign"] = EmbeddedCampaign(
name=ind["campaign"],
confidence=confidence,
description="",
analyst=analyst,
date=datetime.datetime.now(),
)
if isinstance(ind["campaign"], EmbeddedCampaign):
indicator.add_campaign(ind["campaign"])
elif isinstance(ind["campaign"], list):
for campaign in ind["campaign"]:
if isinstance(campaign, EmbeddedCampaign):
indicator.add_campaign(campaign)
if "confidence" in ind and rank.get(ind["confidence"], 0) > rank.get(indicator.confidence.rating, 0):
#.........这里部分代码省略.........