mirror of
https://github.com/valitydev/SigmaHQ.git
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194 lines
8.5 KiB
Python
194 lines
8.5 KiB
Python
# Output backends for sigmac
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# Copyright 2018 SOC Prime
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Lesser General Public License for more details.
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# You should have received a copy of the GNU Lesser General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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import re
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import sigma
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from .base import SingleTextQueryBackend
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from .mixins import MultiRuleOutputMixin
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class QRadarBackend(SingleTextQueryBackend):
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"""Converts Sigma rule into Qradar saved search. Contributed by SOC Prime. https://socprime.com"""
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identifier = "qradar"
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active = True
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reEscape = re.compile('(")')
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reClear = None
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andToken = " and "
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orToken = " or "
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notToken = "not "
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subExpression = "(%s)"
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listExpression = "%s"
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listSeparator = " "
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valueExpression = "\'%s\'"
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keyExpression = "%s"
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nullExpression = "%s is null"
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notNullExpression = "not (%s is null)"
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mapExpression = "%s=%s"
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mapListsSpecialHandling = True
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aql_database = "events"
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def cleanKey(self, key):
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if " " in key:
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key = "\"%s\"" % (key)
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return key
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else:
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return key
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def generateNode(self, node):
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if type(node) == sigma.parser.condition.ConditionAND:
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return self.generateANDNode(node)
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elif type(node) == sigma.parser.condition.ConditionOR:
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return self.generateORNode(node)
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elif type(node) == sigma.parser.condition.ConditionNOT:
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return self.generateNOTNode(node)
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elif type(node) == sigma.parser.condition.ConditionNULLValue:
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return self.generateNULLValueNode(node)
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elif type(node) == sigma.parser.condition.ConditionNotNULLValue:
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return self.generateNotNULLValueNode(node)
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elif type(node) == sigma.parser.condition.NodeSubexpression:
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return self.generateSubexpressionNode(node)
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elif type(node) == tuple:
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return self.generateMapItemNode(node)
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elif type(node) in (str, int):
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return self.generateValueNode(node, False)
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elif type(node) == list:
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return self.generateListNode(node)
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else:
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raise TypeError("Node type %s was not expected in Sigma parse tree" % (str(type(node))))
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def generateMapItemNode(self, node):
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key, value = node
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if self.mapListsSpecialHandling == False and type(value) in (str, int, list) or self.mapListsSpecialHandling == True and type(value) in (str, int):
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if type(value) == str and "*" in value:
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value = value.replace("*", "%")
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return "%s ilike %s" % (self.cleanKey(key), self.generateValueNode(value, True))
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elif type(value) in (str, int):
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return self.mapExpression % (self.cleanKey(key), self.generateValueNode(value, True))
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else:
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return self.mapExpression % (self.cleanKey(key), self.generateNode(value))
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elif type(value) == list:
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return self.generateMapItemListNode(key, value)
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elif value is None:
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return self.nullExpression % (key, )
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else:
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raise TypeError("Backend does not support map values of type " + str(type(value)))
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def generateMapItemListNode(self, key, value):
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itemslist = list()
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for item in value:
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if type(item) == str and "*" in item:
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item = item.replace("*", "%")
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itemslist.append('%s ilike %s' % (self.cleanKey(key), self.generateValueNode(item, True)))
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else:
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itemslist.append('%s = %s' % (self.cleanKey(key), self.generateValueNode(item, True)))
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return '('+" or ".join(itemslist)+')'
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def generateValueNode(self, node, keypresent):
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if keypresent == False:
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return "UTF8(payload) ilike \'{0}{1}{2}\'".format("%", self.cleanValue(str(node)), "%")
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else:
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return self.valueExpression % (self.cleanValue(str(node)))
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def generateNULLValueNode(self, node):
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return self.nullExpression % (node.item)
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def generateNotNULLValueNode(self, node):
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return self.notNullExpression % (node.item)
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def generateAggregation(self, agg, timeframe='00'):
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if agg == None:
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return ""
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if agg.aggfunc == sigma.parser.condition.SigmaAggregationParser.AGGFUNC_NEAR:
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raise NotImplementedError("The 'near' aggregation operator is not yet implemented for this backend")
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if agg.groupfield == None:
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self.qradarPrefixAgg = "SELECT %s(%s) as agg_val from %s where" % (agg.aggfunc_notrans, agg.aggfield, self.aql_database)
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self.qradarSuffixAgg = " group by %s having agg_val %s %s" % (agg.aggfield, agg.cond_op, agg.condition)
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return self.qradarPrefixAgg, self.qradarSuffixAgg
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elif agg.groupfield != None and timeframe == '00':
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self.qradarPrefixAgg = " SELECT %s(%s) as agg_val from %s where " % (agg.aggfunc_notrans, agg.aggfield, self.aql_database)
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self.qradarSuffixAgg = " group by %s having agg_val %s %s" % (agg.groupfield, agg.cond_op, agg.condition)
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return self.qradarPrefixAgg, self.qradarSuffixAgg
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elif agg.groupfield != None and timeframe != None:
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for key, duration in self.generateTimeframe(timeframe).items():
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self.qradarPrefixAgg = " SELECT %s(%s) as agg_val from %s where " % (agg.aggfunc_notrans, agg.aggfield, self.aql_database)
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self.qradarSuffixAgg = " group by %s having agg_val %s %s LAST %s %s" % (agg.groupfield, agg.cond_op, agg.condition, duration, key)
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return self.qradarPrefixAgg, self.qradarSuffixAgg
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else:
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self.qradarPrefixAgg = " SELECT %s(%s) as agg_val from %s where " % (agg.aggfunc_notrans, agg.aggfield, self.aql_database)
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self.qradarSuffixAgg = " group by %s having agg_val %s %s" % (agg.groupfield, agg.cond_op, agg.condition)
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return self.qradarPrefixAgg, self.qradarSuffixAgg
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def generateTimeframe(self, timeframe):
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time_unit = timeframe[-1:]
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duration = timeframe[:-1]
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timeframe_object = {}
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if time_unit == "s":
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timeframe_object['seconds'] = int(duration)
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elif time_unit == "m":
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timeframe_object['minutes'] = int(duration)
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elif time_unit == "h":
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timeframe_object['hours'] = int(duration)
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elif time_unit == "d":
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timeframe_object['days'] = int(duration)
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else:
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timeframe_object['months'] = int(duration)
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return timeframe_object
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def generate(self, sigmaparser):
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"""Method is called for each sigma rule and receives the parsed rule (SigmaParser)"""
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for parsed in sigmaparser.condparsed:
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query = self.generateQuery(parsed, sigmaparser)
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before = self.generateBefore(parsed)
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after = self.generateAfter(parsed)
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result = ""
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if before is not None:
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result = before
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if query is not None:
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result += query
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if after is not None:
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result += after
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return result
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def generateQuery(self, parsed, sigmaparser):
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result = self.generateNode(parsed.parsedSearch)
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self.parsedlogsource = sigmaparser.get_logsource().index
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if any("flow" in i for i in self.parsedlogsource):
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aql_database = "flows"
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else:
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aql_database = "events"
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qradarPrefix = "SELECT UTF8(payload) as search_payload from %s where " % (aql_database)
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try:
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timeframe = sigmaparser.parsedyaml['detection']['timeframe']
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except:
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timeframe = None
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if parsed.parsedAgg and timeframe == None:
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(qradarPrefix, qradarSuffixAgg) = self.generateAggregation(parsed.parsedAgg)
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result = qradarPrefix + result
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result += qradarSuffixAgg
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elif parsed.parsedAgg != None and timeframe != None:
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(qradarPrefix, qradarSuffixAgg) = self.generateAggregation(parsed.parsedAgg, timeframe)
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result = qradarPrefix + result
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result += qradarSuffixAgg
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else:
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result = qradarPrefix + result
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return result
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