MozDef/alerts/fxaAlerts.py

56 строки
2.3 KiB
Python
Исходник Обычный вид История

2017-06-15 22:56:47 +03:00
#!/usr/bin/env python
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
# Copyright (c) 2014 Mozilla Corporation
#
# Contributors:
# Jeff Bryner jbryner@mozilla.com
from lib.alerttask import AlertTask
import pyes
class AlertAccountCreations(AlertTask):
def main(self):
# look for events in last X mins
date_timedelta = dict(minutes=10)
# Configure filters using pyes
must = [
pyes.TermFilter('_type', 'event'),
pyes.TermFilter('tags', 'firefoxaccounts'),
pyes.QueryFilter(pyes.MatchQuery('details.path','/v1/account/create','phrase'))
]
#ignore test accounts and attempts to create accounts that already exist.
must_not = [
pyes.QueryFilter(pyes.WildcardQuery(field='details.email',value='*restmail.net')),
pyes.TermFilter('details.code','429')
]
self.filtersManual(date_timedelta, must=must, must_not=must_not)
# Search aggregations on field 'sourceipv4address', keep X samples of events at most
self.searchEventsAggregated('details.sourceipv4address', samplesLimit=10)
# alert when >= X matching events in an aggregation
self.walkAggregations(threshold=10)
# Set alert properties
def onAggregation(self, aggreg):
# aggreg['count']: number of items in the aggregation, ex: number of failed login attempts
# aggreg['value']: value of the aggregation field, ex: toto@example.com
# aggreg['events']: list of events in the aggregation
category = 'fxa'
tags = ['fxa']
severity = 'INFO'
summary = ('{0} fxa account creation attempts by {1}'.format(aggreg['count'], aggreg['value']))
emails = self.mostCommon(aggreg['allevents'],'_source.details.email')
#did they try to create more than one email account?
#or just retry an existing one
if len(emails) > 1:
for i in emails[:5]:
summary += ' {0} ({1} hits)'.format(i[0], i[1])
# Create the alert object based on these properties
return self.createAlertDict(summary, category, tags, aggreg['events'], severity)