本文整理汇总了Python中core.observables.Observable.add_text方法的典型用法代码示例。如果您正苦于以下问题:Python Observable.add_text方法的具体用法?Python Observable.add_text怎么用?Python Observable.add_text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core.observables.Observable
的用法示例。
在下文中一共展示了Observable.add_text方法的12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: match
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def match(self):
"""Match observables against Yeti's intelligence repository.
Takes an array of observables, expands them and tries to match them against specific indicators or known observables.
To "expand" an observable means to enrich the query. For instance, if the arrays of observables contains the URL ``http://google.com``,
the "expanded" observable array will also include the hostname ``google.com``.
:<json [string] observables: An array of observables to be analyzed
:>json [Entity] entities: Related ``Entity`` objects
:>json [Observable] known: ``Observable`` objects that are already present in database
:>json [Indicator] matches: ``Indicators`` that matched observables
:>json Observable matches[].observable: The ``Observable`` object that matched the ``Indicator``
:>json string unknown: Array of observable strings that didn't match any ``Indicators`` and are unknown to Yeti
"""
params = request.json
observables = params.pop('observables', [])
fetch_neighbors = params.pop('fetch_neighbors', True)
add_unknown = bool(params.pop('add_unknown', False))
if add_unknown and current_user.has_permission('observable', 'write'):
for o in observables:
Observable.add_text(o)
data = match_observables(observables, save_matches=add_unknown and current_user.has_permission('observable', 'write'), fetch_neighbors=fetch_neighbors)
return render(data)
示例2: analyze
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def analyze(self, dict):
observable = dict['title']
description = dict['description'].lower()
context = {}
context['description'] = "{} C2 server".format(description)
context['date_added'] = datetime.strptime(dict['pubDate'], "%d-%m-%Y")
context['source'] = self.name
try:
e = Observable.add_text(observable)
except ObservableValidationError as e:
logging.error(e)
return
e.add_context(context)
e.add_source("feed")
tags = ['malware', 'c2', description, 'crimeware']
if description == 'pony':
tags.extend(['stealer', 'dropper'])
elif description == 'athena':
tags.extend(['stealer', 'ddos'])
elif description in ['zeus', 'citadel']:
tags.extend(['banker'])
e.tag(tags)
示例3: analyze
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def analyze(observable, results):
links = set()
params = {'query': observable.value}
data = PassiveTotalApi.get('/dns/passive', results.settings, params)
for record in data['results']:
first_seen = datetime.strptime(
record['firstSeen'], "%Y-%m-%d %H:%M:%S")
last_seen = datetime.strptime(
record['lastSeen'], "%Y-%m-%d %H:%M:%S")
new = Observable.add_text(record['resolve'])
if isinstance(observable, Hostname):
links.update(
observable.link_to(
new, "{} record".format(record['recordType']),
'PassiveTotal', first_seen, last_seen))
else:
links.update(
new.link_to(
observable, "{} record".format(record['recordType']),
'PassiveTotal', first_seen, last_seen))
return list(links)
示例4: enrich
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def enrich(self):
return "ENRICH"
if request.method == "POST":
lines = request.form['bulk-text'].split('\n')
for l in lines:
obs = refang(l.split(',')[0])
tags = refang(l.split(',')[1:])
o = Observable.add_text(obs)
o.tag(tags)
return render_template('observable/query.html')
示例5: rdata_lookup
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def rdata_lookup(observable, api_key):
links = set()
for record in DNSDBApi.lookup('rdata', observable, api_key):
new = Observable.add_text(record['rrname'])
new.add_source('analytics')
links.update(
new.link_to(
observable,
source='DNSDB Passive DNS',
description='{} record'.format(record['rrtype']),
first_seen=record['first_seen'],
last_seen=record['last_seen']))
return list(links)
示例6: each
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def each(cls, hostname, rtype=None, results=[]):
generated = []
h = Hostname.get_or_create(value=hostname.value)
for rdata in results:
logging.info("{} resolved to {} ({} record)".format(h.value, rdata, rtype))
try:
e = Observable.add_text(rdata)
e.add_source("analytics")
generated.append(e)
l = Link.connect(h, e)
l.add_history(tag=rtype, description='{} record'.format(rtype))
except ObservableValidationError as e:
logging.error("{} is not a valid datatype".format(rdata))
h.analysis_done(cls.__name__)
return generated
示例7: each
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def each(cls, hostname, rtype=None, results=[]):
generated = []
h = Hostname.get_or_create(value=hostname.value)
for rdata in results:
logging.debug("{} resolved to {} ({} record)".format(h.value, rdata, rtype))
try:
e = Observable.add_text(rdata)
e.add_source("analytics")
generated.append(e)
except ObservableValidationError as e:
logging.error("{} is not a valid datatype".format(rdata))
h.active_link_to(generated, "{} record".format(rtype), "ResolveHostnames")
h.analysis_done(cls.__name__)
return generated
示例8: rrset_lookup
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def rrset_lookup(hostname, api_key):
links = set()
for record in DNSDBApi.lookup('rrset', hostname, api_key):
for observable in record['rdata']:
observable = Observable.add_text(observable)
observable.add_source('analytics')
links.update(
hostname.link_to(
observable,
source='DNSDB Passive DNS',
description='{} record'.format(record['rrtype']),
first_seen=record['first_seen'],
last_seen=record['last_seen']))
return list(links)
示例9: analyze
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def analyze(self, line):
if not line or line[0].startswith("#"):
return
date, _type, family, hostname, url, status, registrar, ips, asns, countries = tuple(
line)
tags = []
tags += TYPE_DICT[_type]
tags.append(family.lower())
context = {
"first_seen": date,
"status": status,
"registrar": registrar,
"countries": countries.split("|"),
"asns": asns.split("|"),
"source": self.name
}
try:
url = Url.get_or_create(value=url.rstrip())
url.add_context(context)
url.tag(tags)
hostname = Observable.add_text(hostname)
hostname.tag(tags + ['blocklist'])
for ip in ips.split("|"):
if ip != hostname and ip is not None and ip != '':
try:
i = Ip.get_or_create(value=ip)
i.active_link_to(
hostname,
"First seen IP",
self.name,
clean_old=False)
except ObservableValidationError as e:
logging.error("Invalid Observable: {}".format(e))
except ObservableValidationError as e:
logging.error("Invalid line: {}\nLine: {}".format(e, line))
示例10: match_observables
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def match_observables(observables):
# Remove empty observables
observables = [observable for observable in observables if observable]
extended_query = set(observables) | set(derive(observables))
added_entities = set()
data = {"matches": [], "unknown": set(observables), "entities": [], "known": [], "neighbors": []}
for o in Observable.objects(value__in=list(extended_query)):
data['known'].append(o.info())
del_from_set(data['unknown'], o.value)
for link, node in (o.incoming()):
if isinstance(node, Observable):
if (link.src.value not in extended_query or link.dst.value not in extended_query) and node.tags:
data['neighbors'].append((link.info(), node.info()))
for o, i in Indicator.search(extended_query):
o = Observable.add_text(o)
match = i.info()
match.update({"observable": o.info(), "related": [], "suggested_tags": set()})
for nodes in i.neighbors().values():
for l, node in nodes:
# add node name and link description to indicator
node_data = {"entity": node.type, "name": node.name, "link_description": l.description or l.tag}
match["related"].append(node_data)
# uniquely add node information to related entitites
if node.name not in added_entities:
nodeinfo = node.info()
nodeinfo['type'] = node.type
data["entities"].append(nodeinfo)
added_entities.add(node.name)
o_tags = o.get_tags()
[match["suggested_tags"].add(tag) for tag in node.generate_tags() if tag not in o_tags]
data["matches"].append(match)
del_from_set(data["unknown"], o.value)
return data
示例11: MalwareFamily
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
MalwareFamily("rootkit").save()
MalwareFamily("trojan").save()
MalwareFamily("dropper").save()
t1 = Tag.get_or_create(name="zeus").add_produces(["crimeware", "banker", "malware"])
t2 = Tag.get_or_create(name="banker").add_produces(["crimeware", "malware"])
t3 = Tag.get_or_create(name="c2")
t3.add_replaces(["c&c", "cc"])
Tag.get_or_create(name="crimeware").add_produces("malware")
Export(name="TestExport", description="Test description", frequency=timedelta(hours=1), include_tags=[t1, t2]).save()
url = Observable.add_text("hxxp://zeuscpanel.com/gate.php")
url.tag(["zeus", "banker", "cc", "c2"])
print url.tags
# print url.find_tags()
# import pdb; pdb.set_trace()
## Create some instances of malware & co
bartalex = Malware.get_or_create(name="Bartalex")
bartalex.family = MalwareFamily.objects.get(name="dropper")
bartalex.killchain = "delivery"
bartalex.tags = ["bartalex"]
bartalex.save()
示例12: match_observables
# 需要导入模块: from core.observables import Observable [as 别名]
# 或者: from core.observables.Observable import add_text [as 别名]
def match_observables(observables, save_matches=False, fetch_neighbors=True):
# Remove empty observables
observables = [refang(observable) for observable in observables if observable]
extended_query = set(observables) | set(derive(observables))
data = {
"matches": [],
"unknown": set(observables),
"entities": {},
"known": [],
"neighbors": [],
}
# add to "known"
for o in Observable.objects(value__in=list(extended_query)):
data['known'].append(o.info())
del_from_set(data['unknown'], o.value)
if fetch_neighbors:
for link, node in (o.incoming()):
if isinstance(node, Observable):
if (link.src.value not in extended_query or link.dst.value not in extended_query) and node.tags:
data['neighbors'].append((link.info(), node.info()))
for nodes in o.neighbors("Entity").values():
for l, node in nodes:
# add node name and link description to indicator
node_data = {"entity": node.type, "name": node.name, "link_description": l.description}
# uniquely add node information to related entitites
ent = data['entities'].get(node.name, node.info())
if 'matches' not in ent:
ent['matches'] = {"observables": []}
if 'observables' not in ent['matches']:
ent['matches']['observables'] = []
info = node.info()
o_info = o.info()
info['matched_observable'] = {
"value": o_info['value'],
"tags": [t['name'] for t in o_info['tags']],
"human_url": o_info['human_url'],
"url": o_info['url']
}
if info not in ent['matches']['observables']:
ent['matches']['observables'].append(info)
data['entities'][node.name] = ent
# add to "matches"
for o, i in Indicator.search(extended_query):
if save_matches:
o = Observable.add_text(o)
else:
o = Observable.guess_type(o)(value=o)
try:
o.validate()
except ObservableValidationError:
pass
try:
o = Observable.objects.get(value=o.value)
except Exception:
pass
match = i.info()
match.update({"observable": o.info(), "related": [], "suggested_tags": set()})
for nodes in i.neighbors("Entity").values():
for l, node in nodes:
# add node name and link description to indicator
node_data = {"entity": node.type, "name": node.name, "link_description": l.description}
match["related"].append(node_data)
# uniquely add node information to related entitites
ent = data['entities'].get(node.name, node.info())
if 'matches' not in ent:
ent['matches'] = {"indicators": []}
if 'indicators' not in ent['matches']:
ent['matches']['indicators'] = []
info = i.info()
info['matched_observable'] = o.value
if info not in ent['matches']['indicators']:
ent['matches']['indicators'].append(info)
data['entities'][node.name] = ent
o_tags = o.get_tags()
[match["suggested_tags"].add(tag) for tag in node.generate_tags() if tag not in o_tags]
data["matches"].append(match)
data['entities'] = data['entities'].values()
return data