SigmaHQ/tools/sigma/configuration.py

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# Sigma parser
# Copyright 2016-2017 Thomas Patzke, Florian Roth
# 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 yaml
import re
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import logging
from sigma.parser.condition import ConditionAND, ConditionOR
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# Configuration
class SigmaConfiguration:
"""Sigma converter configuration. Contains field mappings and logsource descriptions"""
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def __init__(self, configyaml=None):
if configyaml == None:
self.config = None
self.fieldmappings = dict()
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self.logsources = dict()
self.logsourcemerging = SigmaLogsourceConfiguration.MM_AND
self.defaultindex = None
self.backend = None
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else:
config = yaml.safe_load(configyaml)
self.config = config
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self.fieldmappings = dict()
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try:
for source, target in config['fieldmappings'].items():
self.fieldmappings[source] = FieldMapping(source, target)
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except KeyError:
pass
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if type(self.fieldmappings) != dict:
raise SigmaConfigParseError("Fieldmappings must be a map")
try:
self.logsourcemerging = config['logsourcemerging']
except KeyError:
self.logsourcemerging = SigmaLogsourceConfiguration.MM_AND
try:
self.defaultindex = config['defaultindex']
except KeyError:
self.defaultindex = None
self.logsources = list()
self.backend = None
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def get_fieldmapping(self, fieldname):
"""Return mapped fieldname if mapping defined or field name given in parameter value"""
try:
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return self.fieldmappings[fieldname]
except KeyError:
return FieldMapping(fieldname)
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def get_logsource(self, category, product, service):
"""Return merged log source definition of all logosurces that match criteria"""
matching = [logsource for logsource in self.logsources if logsource.matches(category, product, service)]
return SigmaLogsourceConfiguration(matching, self.defaultindex)
def set_backend(self, backend):
"""Set backend. This is used by other code to determine target properties for index addressing"""
self.backend = backend
if self.config != None:
if 'logsources' in self.config:
logsources = self.config['logsources']
if type(logsources) != dict:
raise SigmaConfigParseError("Logsources must be a map")
for name, logsource in logsources.items():
self.logsources.append(SigmaLogsourceConfiguration(logsource, self.defaultindex, name, self.logsourcemerging, self.get_indexfield()))
def get_indexfield(self):
"""Get index condition if index field name is configured"""
if self.backend != None:
return self.backend.index_field
class SigmaLogsourceConfiguration:
"""Contains the definition of a log source"""
MM_AND = "and" # Merge all conditions with AND
MM_OR = "or" # Merge all conditions with OR
def __init__(self, logsource=None, defaultindex=None, name=None, mergemethod=MM_AND, indexfield=None):
self.name = name
self.indexfield = indexfield
if logsource == None: # create empty object
self.category = None
self.product = None
self.service = None
self.index = list()
self.conditions = None
elif type(logsource) == list and all([isinstance(o, SigmaLogsourceConfiguration) for o in logsource]): # list of SigmaLogsourceConfigurations: merge according to mergemethod
# Merge category, product and service
categories = set([ ls.category for ls in logsource if ls.category != None ])
products = set([ ls.product for ls in logsource if ls.product != None ])
services = set([ ls.service for ls in logsource if ls.service != None])
if len(categories) > 1 or len(products) > 1 or len(services) > 1:
raise ValueError("Merged SigmaLogsourceConfigurations must have disjunct categories (%s), products (%s) and services (%s)" % (str(categories), str(products), str(services)))
try:
self.category = categories.pop()
except KeyError:
self.category = None
try:
self.product = products.pop()
except KeyError:
self.product = None
try:
self.service = services.pop()
except KeyError:
self.service = None
# Merge all index patterns
self.index = list(set([index for ls in logsource for index in ls.index])) # unique(flat(logsources.index))
if len(self.index) == 0 and defaultindex is not None: # if no index pattern matched and default index is present: use default index
if type(defaultindex) == str:
self.index = [defaultindex]
elif type(defaultindex) == list and all([type(i) == str for i in defaultindex]):
self.index = defaultindex
else:
raise TypeError("Default index must be string or list of strings")
# "merge" index field (should never differ between instances because it is provided by backend class
indexfields = [ ls.indexfield for ls in logsource if ls.indexfield != None ]
try:
self.indexfield = indexfields[0]
except IndexError:
self.indexfield = None
# Merge conditions according to mergemethod
if mergemethod == self.MM_AND:
cond = ConditionAND()
elif mergemethod == self.MM_OR:
cond = ConditionOR()
else:
raise ValueError("Mergemethod must be '%s' or '%s'" % (self.MM_AND, self.MM_OR))
for ls in logsource:
if ls.conditions != None:
cond.add(ls.conditions)
if len(cond) > 0:
self.conditions = cond
else:
self.conditions = None
elif type(logsource) == dict: # create logsource configuration from parsed yaml
if 'category' in logsource and type(logsource['category']) != str \
or 'product' in logsource and type(logsource['product']) != str \
or 'service' in logsource and type(logsource['service']) != str:
raise SigmaConfigParseError("Logsource category, product or service must be a string")
try:
self.category = logsource['category']
except KeyError:
self.category = None
try:
self.product = logsource['product']
except KeyError:
self.product = None
try:
self.service = logsource['service']
except KeyError:
self.service = None
if self.category == None and self.product == None and self.service == None:
raise SigmaConfigParseError("Log source definition will not match")
if 'index' in logsource:
index = logsource['index']
if type(index) not in (str, list):
raise SigmaConfigParseError("Logsource index must be string or list of strings")
if type(index) == list and not all([type(index) == str for index in logsource['index']]):
raise SigmaConfigParseError("Logsource index patterns must be strings")
if type(index) == list:
self.index = index
else:
self.index = [ index ]
else:
# no default index handling here - this branch is executed if log source definitions are parsed from
# config and these must not necessarily contain an index definition. A valid index may later be result
# from a merge, where default index handling applies.
self.index = []
if 'conditions' in logsource:
if type(logsource['conditions']) != dict:
raise SigmaConfigParseError("Logsource conditions must be a map")
cond = ConditionAND()
for key, value in logsource['conditions'].items():
cond.add((key, value))
self.conditions = cond
else:
self.conditions = None
else:
raise SigmaConfigParseError("Logsource definitions must be maps")
def matches(self, category, product, service):
"""Match log source definition against given criteria, None = ignore"""
searched = 0
for searchval, selfval in zip((category, product, service), (self.category, self.product, self.service)):
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if searchval == None and selfval != None:
return False
if selfval != None:
searched += 1
if searchval != selfval:
return False
if searched:
return True
def get_indexcond(self):
"""Get index condition if index field name is configured"""
cond = ConditionOR()
if self.indexfield:
for index in self.index:
cond.add((self.indexfield, index))
return cond
else:
return None
def __str__(self):
return "[ LogSourceConfiguration: %s %s %s indices: %s ]" % (self.category, self.product, self.service, str(self.index))