Adding Sumologic backend

This commit is contained in:
juju4
2018-12-09 17:55:51 -05:00
parent 2091c90538
commit 1f707cb37c
3 changed files with 132 additions and 0 deletions
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# Sumulogic mapping depends on customer configuration. Adapt to your context!
# typically rule on _sourceCategory, _index or Field Extraction Rules (FER)
# supposing existing FER for service, EventChannel, EventID
logsources:
linux:
product: linux
index:
- _index=LINUX
linux-sshd:
product: linux
service: sshd
index:
- _index=LINUX
linux-auth:
product: linux
service: auth
index:
- _index=LINUX
linux-clamav:
product: linux
service: clamav
index:
- _index=LINUX
windows:
product: windows
index:
- _index=WINDOWS
windows-sysmon:
product: windows
service: sysmon
conditions:
EventChannel: Microsoft-Windows-Sysmon
index:
- _index=WINDOWS
windows-security:
product: windows
service: security
conditions:
EventChannel: Security
index:
- _index=WINDOWS
windows-powershell:
product: windows
service: powershell
conditions:
EventChannel: Microsoft-Windows-Powershell
index:
- _index=WINDOWS
windows-system:
product: windows
service: system
conditions:
EventChannel: System
index:
- _index=WINDOWS
apache:
product: apache
service: apache
index:
- _index=WEBSERVER
firewall:
product: firewall
index:
- _index=FIREWALL
# if no index, search in all indexes
defaultindex:
# all mappings depends either on FER or on query parsing
fieldmappings:
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@@ -54,6 +54,7 @@ setup(
'config/spark.yml',
'config/netwitness.yml',
'config/splunk-windows-all.yml',
'config/sumologic.yml',
])],
scripts=[
'sigmac',
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# Output backends for sigmac
# Copyright 2016-2018 Thomas Patzke, Florian Roth, juju4
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
# You should have received a copy of the GNU Lesser General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import re
import sigma
from .base import SingleTextQueryBackend
# Sumo specifics
# https://help.sumologic.com/05Search/Search-Query-Language
# want _index or _sourceCategory for performance
# try to get most string match on first line for performance
# further sorting can be done with extra parsing
# No regex match, must use 'parse regex' https://help.sumologic.com/05Search/Search-Query-Language/01-Parse-Operators/02-Parse-Variable-Patterns-Using-Regex
# For some strings like Windows ProcessCmdline or LogonProcess, it might be good to force case lower and upper as Windows is inconsistent in logs
class SumoLogicBackend(SingleTextQueryBackend):
"""Converts Sigma rule into SumoLogic query"""
identifier = "sumologic"
active = True
reEscape = re.compile('("|\\\\(?![*?]))')
reClear = None
andToken = " AND "
orToken = " OR "
notToken = "!"
subExpression = "(%s)"
listExpression = "(%s)"
listSeparator = ", "
valueExpression = "\"%s\""
nullExpression = "isEmpty(%s)"
notNullExpression = "!isEmpty(%s)"
mapExpression = "%s=%s"
mapListsSpecialHandling = True
mapListValueExpression = "%s IN %s"
def generateAggregation(self, agg):
if agg == None:
return ""
if agg.aggfunc == sigma.parser.condition.SigmaAggregationParser.AGGFUNC_NEAR:
raise NotImplementedError("The 'near' aggregation operator is not yet implemented for this backend")
if agg.groupfield == None:
#return " | %s(%s) | when _count %s %s" % (agg.aggfunc_notrans, agg.aggfield or "", agg.cond_op, agg.condition)
return " | %s(%s) as val | when val %s %s" % (agg.aggfunc_notrans, agg.aggfield or "", agg.cond_op, agg.condition)
else:
return " | %s(%s) as val by %s | when val %s %s" % (agg.aggfunc_notrans, agg.aggfield or "", agg.groupfield or "", agg.cond_op, agg.condition)
# TimeFrame condition / within timeframe
# condition | timeslice 5m | count_distinct(f1) as val by f2 | where val > 5
# Near condition => how near... like timeframe?