SigmaHQ/tools/sigma/backends/base.py
2019-07-31 23:43:29 +02:00

302 lines
13 KiB
Python

# Output backends for sigmac
# Copyright 2016-2018 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 sys
import sigma
import yaml
from .mixins import RulenameCommentMixin, QuoteCharMixin
from sigma.parser.modifiers.base import SigmaTypeModifier
class BackendOptions(dict):
"""
Object containing all the options that should be passed to the backend.
The options can come from command line and a YAML configuration file, and will be merged together.
Options from the command line take precedence.
"""
def __init__(self, options, config_file):
"""
:param options: unparsed options coming from the CLI
:param config_file: path to a YAML configuration file
"""
self._load_config_file(config_file)
self._parse_options(options)
def _parse_options(self, options):
"""
Populates options from the unparsed options of the CLI
:param options: list unparsed options from the CLI.
Each option can have one of the following formats:
- "key=value": the option key:value will be passed to the backend
- "key": the option key:True will be passed to the backend
"""
if options is None:
return
for option in options:
parsed = option.split("=", 1)
try:
self[parsed[0]] = parsed[1]
except IndexError:
# If the option is present but doesn't map to a value, treat it as a boolean flag
self[parsed[0]] = True
def _load_config_file(self, path):
"""
Populates options from a configuration file
:param path: Path to the configuration file
"""
if path is None:
return
try:
with open(path, 'r') as config_file:
backend_config = yaml.safe_load(config_file.read())
self.update(backend_config)
except (IOError, OSError) as e:
print("Failed to open backend configuration file '%s': %s" % (path, str(e)), file=sys.stderr)
exit(1)
except yaml.YAMLError as e:
print("Failed to parse backend configuration file '%s' as valid YAML: %s" % (path, str(e)), file=sys.stderr)
exit(1)
### Generic backend base classes
class BaseBackend:
"""Base class for all backends"""
identifier = "base"
active = False
index_field = None # field name that is used to address indices
file_list = None
options = tuple() # a list of tuples with following elements: option name, default value, help text, target attribute name (option name if None)
config_required = True
def __init__(self, sigmaconfig, backend_options=None):
"""
Initialize backend. This gets a sigmaconfig object, which is notified about the used backend class by
passing the object instance to it.
"""
super().__init__()
if not isinstance(sigmaconfig, (sigma.configuration.SigmaConfiguration, sigma.configuration.SigmaConfigurationChain, None)):
raise TypeError("SigmaConfiguration object expected")
self.backend_options = backend_options
self.sigmaconfig = sigmaconfig
self.sigmaconfig.set_backend(self)
# Parse options
for option, default_value, _, target in self.options:
if target is None:
target = option
setattr(self, target, self.backend_options.setdefault(option, default_value))
def generate(self, sigmaparser):
"""Method is called for each sigma rule and receives the parsed rule (SigmaParser)"""
for parsed in sigmaparser.condparsed:
query = self.generateQuery(parsed)
before = self.generateBefore(parsed)
after = self.generateAfter(parsed)
result = ""
if before is not None:
result = before
if query is not None:
result += query
if after is not None:
result += after
return result
def generateQuery(self, parsed):
result = self.generateNode(parsed.parsedSearch)
if parsed.parsedAgg:
result += self.generateAggregation(parsed.parsedAgg)
return result
def generateNode(self, node):
if type(node) == sigma.parser.condition.ConditionAND:
return self.generateANDNode(node)
elif type(node) == sigma.parser.condition.ConditionOR:
return self.generateORNode(node)
elif type(node) == sigma.parser.condition.ConditionNOT:
return self.generateNOTNode(node)
elif type(node) == sigma.parser.condition.ConditionNULLValue:
return self.generateNULLValueNode(node)
elif type(node) == sigma.parser.condition.ConditionNotNULLValue:
return self.generateNotNULLValueNode(node)
elif type(node) == sigma.parser.condition.NodeSubexpression:
return self.generateSubexpressionNode(node)
elif type(node) == tuple:
return self.generateMapItemNode(node)
elif type(node) in (str, int):
return self.generateValueNode(node)
elif type(node) == list:
return self.generateListNode(node)
elif isinstance(node, SigmaTypeModifier):
return self.generateTypedValueNode(node)
else:
raise TypeError("Node type %s was not expected in Sigma parse tree" % (str(type(node))))
def generateANDNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateORNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateNOTNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateSubexpressionNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateListNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateMapItemNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateValueNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateTypedValueNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateNULLValueNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateNotNULLValueNode(self, node):
raise NotImplementedError("Node type not implemented for this backend")
def generateAggregation(self, agg):
raise NotImplementedError("Aggregations not implemented for this backend")
def generateBefore(self, parsed):
return ""
def generateAfter(self, parsed):
return ""
def finalize(self):
"""
Is called after the last file was processed with generate(). The right place if this backend is not intended to
look isolated at each rule, but generates an output which incorporates multiple rules, e.g. dashboards.
"""
pass
class SingleTextQueryBackend(RulenameCommentMixin, BaseBackend, QuoteCharMixin):
"""Base class for backends that generate one text-based expression from a Sigma rule"""
identifier = "base-textquery"
active = False
# the following class variables define the generation and behavior of queries from a parse tree some are prefilled with default values that are quite usual
andToken = None # Token used for linking expressions with logical AND
orToken = None # Same for OR
notToken = None # Same for NOT
subExpression = None # Syntax for subexpressions, usually parenthesis around it. %s is inner expression
listExpression = None # Syntax for lists, %s are list items separated with listSeparator
listSeparator = None # Character for separation of list items
valueExpression = None # Expression of values, %s represents value
typedValueExpression = dict() # Expression of typed values generated by type modifiers. modifier identifier -> expression dict, %s represents value
nullExpression = None # Expression of queries for null values or non-existing fields. %s is field name
notNullExpression = None # Expression of queries for not null values. %s is field name
mapExpression = None # Syntax for field/value conditions. First %s is fieldname, second is value
mapListsSpecialHandling = False # Same handling for map items with list values as for normal values (strings, integers) if True, generateMapItemListNode method is called with node
mapListValueExpression = None # Syntax for field/value condititons where map value is a list
def generateANDNode(self, node):
generated = [ self.generateNode(val) for val in node ]
filtered = [ g for g in generated if g is not None ]
if filtered:
return self.andToken.join(filtered)
else:
return None
def generateORNode(self, node):
generated = [ self.generateNode(val) for val in node ]
filtered = [ g for g in generated if g is not None ]
if filtered:
return self.orToken.join(filtered)
else:
return None
def generateNOTNode(self, node):
generated = self.generateNode(node.item)
if generated is not None:
return self.notToken + generated
else:
return None
def generateSubexpressionNode(self, node):
generated = self.generateNode(node.items)
if generated:
return self.subExpression % generated
else:
return None
def generateListNode(self, node):
if not set([type(value) for value in node]).issubset({str, int}):
raise TypeError("List values must be strings or numbers")
return self.listExpression % (self.listSeparator.join([self.generateNode(value) for value in node]))
def generateMapItemNode(self, node):
fieldname, value = node
transformed_fieldname = self.fieldNameMapping(fieldname, value)
if self.mapListsSpecialHandling == False and type(value) in (str, int, list) or self.mapListsSpecialHandling == True and type(value) in (str, int):
return self.mapExpression % (transformed_fieldname, self.generateNode(value))
elif type(value) == list:
return self.generateMapItemListNode(transformed_fieldname, value)
elif isinstance(value, SigmaTypeModifier):
return self.generateMapItemTypedNode(transformed_fieldname, value)
elif value is None:
return self.nullExpression % (transformed_fieldname, )
else:
raise TypeError("Backend does not support map values of type " + str(type(value)))
def generateMapItemListNode(self, fieldname, value):
return self.mapListValueExpression % (fieldname, self.generateNode(value))
def generateMapItemTypedNode(self, fieldname, value):
return self.mapExpression % (fieldname, self.generateTypedValueNode(value))
def generateValueNode(self, node):
return self.valueExpression % (self.cleanValue(str(node)))
def generateTypedValueNode(self, node):
try:
return self.typedValueExpression[type(node)] % (str(node))
except KeyError:
raise NotImplementedError("Type modifier '{}' is not supported by backend".format(node.identifier))
def generateNULLValueNode(self, node):
return self.nullExpression % (node.item)
def generateNotNULLValueNode(self, node):
return self.notNullExpression % (node.item)
def fieldNameMapping(self, fieldname, value):
"""
Alter field names depending on the value(s). Backends may use this method to perform a final transformation of the field name
in addition to the field mapping defined in the conversion configuration. The field name passed to this method was already
transformed from the original name given in the Sigma rule.
"""
return fieldname