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237 lines (183 loc) · 8.68 KB
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# Output backends for sigmac
import json
import re
import sigma
def getBackendList():
"""Return list of backend classes"""
return list(filter(lambda cls: type(cls) == type and issubclass(cls, BaseBackend) and cls.active, [item[1] for item in globals().items()]))
def getBackendDict():
return {cls.identifier: cls for cls in getBackendList() }
def getBackend(name):
try:
return getBackendDict()[name]
except KeyError as e:
raise LookupError("Backend not found") from e
class BaseBackend:
"""Base class for all backends"""
identifier = "base"
active = False
index_field = None # field name that is used to address indices
def __init__(self, sigmaconfig):
if not isinstance(sigmaconfig, (sigma.SigmaConfiguration, None)):
raise TypeError("SigmaConfiguration object expected")
self.sigmaconfig = sigmaconfig
self.sigmaconfig.set_backend(self)
def generate(self, parsed):
return self.generateNode(parsed.getParseTree())
def generateNode(self, node):
if type(node) == sigma.ConditionAND:
return self.generateANDNode(node)
elif type(node) == sigma.ConditionOR:
return self.generateORNode(node)
elif type(node) == sigma.ConditionNOT:
return self.generateNOTNode(node)
elif type(node) == sigma.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)
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")
class ElasticsearchQuerystringBackend(BaseBackend):
"""Converts Sigma rule into Elasticsearch query string. Only searches, no aggregations."""
identifier = "es-qs"
active = True
reEscape = re.compile("([+\\-=!(){}\\[\\]^\"~:\\\\/]|&&|\\|\\|)")
reClear = re.compile("[<>]")
def cleanValue(self, val):
val = self.reEscape.sub("\\\\\g<1>", val)
return self.reClear.sub("", val)
def generateANDNode(self, node):
return " AND ".join([self.generateNode(val) for val in node])
def generateORNode(self, node):
return " OR ".join([self.generateNode(val) for val in node])
def generateNOTNode(self, node):
return "NOT " + self.generateNode(node.item)
def generateSubexpressionNode(self, node):
return "(%s)" % self.generateNode(node.items)
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 "(%s)" % (" ".join([self.generateNode(value) for value in node]))
def generateMapItemNode(self, node):
key, value = node
if type(value) not in (str, int, list):
raise TypeError("Map values must be strings, numbers or lists, not " + str(type(value)))
return "%s:%s" % (self.sigmaconfig.get_fieldmapping(key), self.generateNode(value))
def generateValueNode(self, node):
return "\"%s\"" % (self.cleanValue(str(node)))
class ElasticsearchDSLBackend(BaseBackend):
"""Converts Sigma rule into Elasticsearch DSL query (JSON)."""
identifier = "es-dsl"
active = False
class KibanaBackend(ElasticsearchDSLBackend):
"""Converts Sigma rule into Kibana JSON Configurations."""
identifier = "kibana"
active = False
class LogPointBackend(BaseBackend):
"""Converts Sigma rule into LogPoint query"""
identifier = "logpoint"
active = True
reEscape = re.compile('(["\\\\])')
def cleanValue(self, val):
return self.reEscape.sub("\\\\\g<1>", val)
def generateANDNode(self, node):
return " ".join([self.generateNode(val) for val in node])
def generateORNode(self, node):
return " OR ".join([self.generateNode(val) for val in node])
def generateNOTNode(self, node):
return " -" + self.generateNode(node.item)
def generateSubexpressionNode(self, node):
return "(%s)" % self.generateNode(node.items)
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 "[%s]" % (", ".join([self.generateNode(value) for value in node]))
def generateMapItemNode(self, node):
key, value = node
if type(value) not in (str, int, list):
raise TypeError("Map values must be strings, numbers or lists, not " + str(type(value)))
if type(value) == list:
return "%s IN %s" % (self.sigmaconfig.get_fieldmapping(key), self.generateNode(value))
return "%s=%s" % (self.sigmaconfig.get_fieldmapping(key), self.generateNode(value))
def generateValueNode(self, node):
return "\"%s\"" % (self.cleanValue(str(node)))
class SplunkBackend(BaseBackend):
"""Converts Sigma rule into Splunk Search Processing Language (SPL)."""
identifier = "splunk"
active = True
index_field = "index"
reEscape = re.compile('(["\\\\])')
def cleanValue(self, val):
return self.reEscape.sub("\\\\\g<1>", val)
def generateANDNode(self, node):
return " ".join([self.generateNode(val) for val in node])
def generateORNode(self, node):
return " OR ".join([self.generateNode(val) for val in node])
def generateNOTNode(self, node):
return "NOT " + self.generateNode(node.item)
def generateSubexpressionNode(self, node):
return "(%s)" % self.generateNode(node.items)
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 "(%s)" % (" ".join([self.generateNode(value) for value in node]))
def generateMapItemNode(self, node):
key, value = node
if type(value) in (str, int):
return '%s=%s' % (self.sigmaconfig.get_fieldmapping(key), self.generateNode(value))
elif type(value) == list:
return "(" + (" OR ".join(['%s=%s' % (self.sigmaconfig.get_fieldmapping(key), self.generateValueNode(item)) for item in value])) + ")"
else:
raise TypeError("Map values must be strings, numbers or lists, not " + str(type(value)))
def generateValueNode(self, node):
return "\"%s\"" % (self.cleanValue(str(node)))
class FieldnameListBackend(BaseBackend):
"""List all fieldnames from given Sigma rules for creation of a field mapping configuration."""
identifier = "fieldlist"
active = True
def generate(self, parsed):
return "\n".join(sorted(set(list(flatten(self.generateNode(parsed.getParseTree()))))))
def generateANDNode(self, node):
return [self.generateNode(val) for val in node]
def generateORNode(self, node):
return self.generateANDNode(node)
def generateNOTNode(self, node):
return self.generateNode(node.item)
def generateSubexpressionNode(self, node):
return self.generateNode(node.items)
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.generateNode(value) for value in node]
def generateMapItemNode(self, node):
key, value = node
if type(value) not in (str, int, list):
raise TypeError("Map values must be strings, numbers or lists, not " + str(type(value)))
return [self.sigmaconfig.get_fieldmapping(key)]
def generateValueNode(self, node):
return []
# Helpers
def flatten(l):
for i in l:
if type(i) == list:
yield from flatten(i)
else:
yield i