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elif coverage >= 85.0: print("COVERAGE_COLOR=orange") else: - print("COVERAGE_COLOR=red") \ No newline at end of file + print("COVERAGE_COLOR=red") diff --git a/pyproject.toml b/pyproject.toml index 428a752..6f573af 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,6 +17,7 @@ pysigma = "^0.10.2" [tool.poetry.dev-dependencies] pytest = "^6.2.2" pytest-cov = "^2.11.1" +defusedxml = "^0.7.1" [build-system] requires = ["poetry-core>=1.0.0"] diff --git a/sigma/backends/splunk/splunk.py b/sigma/backends/splunk/splunk.py index f591d0a..5f7f7ab 100644 --- a/sigma/backends/splunk/splunk.py +++ b/sigma/backends/splunk/splunk.py @@ -3,13 +3,24 @@ from sigma.rule import SigmaRule from sigma.conversion.base import TextQueryBackend from sigma.conversion.deferred import DeferredTextQueryExpression -from sigma.conditions import ConditionFieldEqualsValueExpression, ConditionOR, ConditionAND, ConditionNOT, ConditionItem +from sigma.conditions import ( + ConditionFieldEqualsValueExpression, + ConditionOR, + ConditionAND, + ConditionNOT, + ConditionItem, +) from sigma.types import SigmaCompareExpression from sigma.exceptions import SigmaFeatureNotSupportedByBackendError -from sigma.pipelines.splunk.splunk import splunk_sysmon_process_creation_cim_mapping, splunk_windows_registry_cim_mapping, splunk_windows_file_event_cim_mapping +from sigma.pipelines.splunk.splunk import ( + splunk_sysmon_process_creation_cim_mapping, + splunk_windows_registry_cim_mapping, + splunk_windows_file_event_cim_mapping, +) import sigma from typing import Callable, ClassVar, Dict, List, Optional, Pattern, Tuple + class SplunkDeferredRegularExpression(DeferredTextQueryExpression): template = 'regex {field}{op}"{value}"' operators = { @@ -18,6 +29,7 @@ class SplunkDeferredRegularExpression(DeferredTextQueryExpression): } default_field = "_raw" + class SplunkDeferredCIDRExpression(DeferredTextQueryExpression): template = 'where {op}cidrmatch("{value}", {field})' operators = { @@ -26,68 +38,94 @@ class SplunkDeferredCIDRExpression(DeferredTextQueryExpression): } default_field = "_raw" + class SplunkBackend(TextQueryBackend): """Splunk SPL backend.""" - name : ClassVar[str] = "Splunk SPL & tstats data model queries" # A descriptive name of the backend - formats : ClassVar[Dict[str, str]] = { # Output formats provided by the backend as name -> description mapping. The name should match to finalize_output_. + + name: ClassVar[ + str + ] = "Splunk SPL & tstats data model queries" # A descriptive name of the backend + formats: ClassVar[ + Dict[str, str] + ] = { # Output formats provided by the backend as name -> description mapping. The name should match to finalize_output_. "default": "Plain SPL queries", "savedsearches": "Plain SPL in a savedsearches.conf file", - "data_model": "Data model queries with tstats" + "data_model": "Data model queries with tstats", } - requires_pipeline : ClassVar[bool] = True # Does the backend requires that a processing pipeline is provided? + requires_pipeline: ClassVar[ + bool + ] = True # Does the backend requires that a processing pipeline is provided? - precedence: ClassVar[Tuple[ConditionItem, ConditionItem, ConditionItem]] = (ConditionNOT, ConditionOR, ConditionAND) - group_expression : ClassVar[str] = "({expr})" + precedence: ClassVar[Tuple[ConditionItem, ConditionItem, ConditionItem]] = ( + ConditionNOT, + ConditionOR, + ConditionAND, + ) + group_expression: ClassVar[str] = "({expr})" - or_token : ClassVar[str] = "OR" - and_token : ClassVar[str] = " " - not_token : ClassVar[str] = "NOT" - eq_token : ClassVar[str] = "=" + or_token: ClassVar[str] = "OR" + and_token: ClassVar[str] = " " + not_token: ClassVar[str] = "NOT" + eq_token: ClassVar[str] = "=" field_quote: ClassVar[str] = '"' - field_quote_pattern: ClassVar[Pattern] = re.compile("^[\w.]+$") - - str_quote : ClassVar[str] = '"' - escape_char : ClassVar[str] = "\\" - wildcard_multi : ClassVar[str] = "*" - wildcard_single : ClassVar[str] = "*" - add_escaped : ClassVar[str] = "\\" - - re_expression : ClassVar[str] = "{regex}" - re_escape_char : ClassVar[str] = "\\" - re_escape : ClassVar[Tuple[str]] = ('"',) - - cidr_expression : ClassVar[str] = "{value}" - - compare_op_expression : ClassVar[str] = "{field}{operator}{value}" - compare_operators : ClassVar[Dict[SigmaCompareExpression.CompareOperators, str]] = { - SigmaCompareExpression.CompareOperators.LT : "<", - SigmaCompareExpression.CompareOperators.LTE : "<=", - SigmaCompareExpression.CompareOperators.GT : ">", - SigmaCompareExpression.CompareOperators.GTE : ">=", + field_quote_pattern: ClassVar[Pattern] = re.compile(r"^[\w.]+$") + + str_quote: ClassVar[str] = '"' + escape_char: ClassVar[str] = "\\" + wildcard_multi: ClassVar[str] = "*" + wildcard_single: ClassVar[str] = "*" + add_escaped: ClassVar[str] = "\\" + + re_expression: ClassVar[str] = "{regex}" + re_escape_char: ClassVar[str] = "\\" + re_escape: ClassVar[Tuple[str]] = ('"',) + + cidr_expression: ClassVar[str] = "{value}" + + compare_op_expression: ClassVar[str] = "{field}{operator}{value}" + compare_operators: ClassVar[Dict[SigmaCompareExpression.CompareOperators, str]] = { + SigmaCompareExpression.CompareOperators.LT: "<", + SigmaCompareExpression.CompareOperators.LTE: "<=", + SigmaCompareExpression.CompareOperators.GT: ">", + SigmaCompareExpression.CompareOperators.GTE: ">=", } - field_null_expression : ClassVar[str] = "{field}!=*" + field_null_expression: ClassVar[str] = "{field}!=*" - convert_or_as_in : ClassVar[bool] = True - convert_and_as_in : ClassVar[bool] = False - in_expressions_allow_wildcards : ClassVar[bool] = True - field_in_list_expression : ClassVar[str] = "{field} {op} ({list})" - or_in_operator : ClassVar[Optional[str]] = "IN" - list_separator : ClassVar[str] = ", " + convert_or_as_in: ClassVar[bool] = True + convert_and_as_in: ClassVar[bool] = False + in_expressions_allow_wildcards: ClassVar[bool] = True + field_in_list_expression: ClassVar[str] = "{field} {op} ({list})" + or_in_operator: ClassVar[Optional[str]] = "IN" + list_separator: ClassVar[str] = ", " - unbound_value_str_expression : ClassVar[str] = '{value}' - unbound_value_num_expression : ClassVar[str] = '{value}' - unbound_value_re_expression : ClassVar[str] = '{value}' + unbound_value_str_expression: ClassVar[str] = "{value}" + unbound_value_num_expression: ClassVar[str] = "{value}" + unbound_value_re_expression: ClassVar[str] = "{value}" - deferred_start : ClassVar[str] = "\n| " - deferred_separator : ClassVar[str] = "\n| " - deferred_only_query : ClassVar[str] = "*" + deferred_start: ClassVar[str] = "\n| " + deferred_separator: ClassVar[str] = "\n| " + deferred_only_query: ClassVar[str] = "*" - def __init__(self, processing_pipeline: Optional["sigma.processing.pipeline.ProcessingPipeline"] = None, collect_errors: bool = False, min_time : str = "-30d", max_time : str = "now", query_settings : Callable[[SigmaRule], Dict[str, str]] = lambda x: {}, output_settings : Dict = {}, **kwargs): + def __init__( + self, + processing_pipeline: Optional[ + "sigma.processing.pipeline.ProcessingPipeline" + ] = None, + collect_errors: bool = False, + min_time: str = "-30d", + max_time: str = "now", + query_settings: Callable[[SigmaRule], Dict[str, str]] = lambda x: {}, + output_settings: Dict = {}, + **kwargs, + ): super().__init__(processing_pipeline, collect_errors, **kwargs) self.query_settings = query_settings - self.output_settings = {"dispatch.earliest_time": min_time, "dispatch.latest_time": max_time} + self.output_settings = { + "dispatch.earliest_time": min_time, + "dispatch.latest_time": max_time, + } self.output_settings.update(output_settings) @staticmethod @@ -95,80 +133,136 @@ def _generate_settings(settings): """Format a settings dict into newline separated k=v string. Escape multi-line values.""" output = "" for k, v in settings.items(): - output += f"\n{k} = " + " \\\n".join(v.split("\n")) # cannot use \ in f-strings + output += f"\n{k} = " + " \\\n".join( + v.split("\n") + ) # cannot use \ in f-strings return output - def convert_condition_field_eq_val_re(self, cond : ConditionFieldEqualsValueExpression, state : "sigma.conversion.state.ConversionState") -> SplunkDeferredRegularExpression: + def convert_condition_field_eq_val_re( + self, + cond: ConditionFieldEqualsValueExpression, + state: "sigma.conversion.state.ConversionState", + ) -> SplunkDeferredRegularExpression: """Defer regular expression matching to pipelined regex command after main search expression.""" if cond.parent_condition_chain_contains(ConditionOR): - raise SigmaFeatureNotSupportedByBackendError("ORing regular expressions is not yet supported by Splunk backend", source=cond.source) - return SplunkDeferredRegularExpression(state, cond.field, super().convert_condition_field_eq_val_re(cond, state)).postprocess(None, cond) + raise SigmaFeatureNotSupportedByBackendError( + "ORing regular expressions is not yet supported by Splunk backend", + source=cond.source, + ) + return SplunkDeferredRegularExpression( + state, cond.field, super().convert_condition_field_eq_val_re(cond, state) + ).postprocess(None, cond) - def convert_condition_field_eq_val_cidr(self, cond : ConditionFieldEqualsValueExpression, state : "sigma.conversion.state.ConversionState") -> SplunkDeferredCIDRExpression: + def convert_condition_field_eq_val_cidr( + self, + cond: ConditionFieldEqualsValueExpression, + state: "sigma.conversion.state.ConversionState", + ) -> SplunkDeferredCIDRExpression: """Defer CIDR network range matching to pipelined where cidrmatch command after main search expression.""" if cond.parent_condition_chain_contains(ConditionOR): - raise SigmaFeatureNotSupportedByBackendError("ORing CIDR matching is not yet supported by Splunk backend", source=cond.source) - return SplunkDeferredCIDRExpression(state, cond.field, super().convert_condition_field_eq_val_cidr(cond, state)).postprocess(None, cond) + raise SigmaFeatureNotSupportedByBackendError( + "ORing CIDR matching is not yet supported by Splunk backend", + source=cond.source, + ) + return SplunkDeferredCIDRExpression( + state, cond.field, super().convert_condition_field_eq_val_cidr(cond, state) + ).postprocess(None, cond) - def finalize_query_default(self, rule : SigmaRule, query : str, index : int, state : ConversionState) -> str: + def finalize_query_default( + self, rule: SigmaRule, query: str, index: int, state: ConversionState + ) -> str: table_fields = " | table " + ",".join(rule.fields) if rule.fields else "" return query + table_fields - def finalize_query_savedsearches(self, rule: SigmaRule, query: str, index: int, state: ConversionState) -> str: - clean_title = rule.title.translate({ord(c): None for c in "[]"}) # remove brackets from title + def finalize_query_savedsearches( + self, rule: SigmaRule, query: str, index: int, state: ConversionState + ) -> str: + clean_title = rule.title.translate( + {ord(c): None for c in "[]"} + ) # remove brackets from title query_settings = self.query_settings(rule) - query_settings["description"] = rule.description.strip() if rule.description else "" - query_settings["search"] = query + ("\n| table " + ",".join(rule.fields) if rule.fields else "") + query_settings["description"] = ( + rule.description.strip() if rule.description else "" + ) + query_settings["search"] = query + ( + "\n| table " + ",".join(rule.fields) if rule.fields else "" + ) return f"\n[{clean_title}]" + self._generate_settings(query_settings) def finalize_output_savedsearches(self, queries: List[str]) -> str: - return f"\n[default]" + self._generate_settings(self.output_settings) + "\n" + "\n".join(queries) + return ( + f"\n[default]" + + self._generate_settings(self.output_settings) + + "\n" + + "\n".join(queries) + ) - def finalize_query_data_model(self, rule: SigmaRule, query: str, index: int, state: ConversionState) -> str: + def finalize_query_data_model( + self, rule: SigmaRule, query: str, index: int, state: ConversionState + ) -> str: data_model = None data_set = None cim_fields = None if rule.logsource.product and rule.logsource.category: if rule.logsource.product == "windows": if rule.logsource.category == "process_creation": - data_model = 'Endpoint' - data_set = 'Processes' - cim_fields = " ".join(splunk_sysmon_process_creation_cim_mapping.values()) - elif rule.logsource.category in ["registry_add", "registry_delete", "registry_event", "registry_set"]: - data_model = 'Endpoint' - data_set = 'Registry' + data_model = "Endpoint" + data_set = "Processes" + cim_fields = " ".join( + splunk_sysmon_process_creation_cim_mapping.values() + ) + elif rule.logsource.category in [ + "registry_add", + "registry_delete", + "registry_event", + "registry_set", + ]: + data_model = "Endpoint" + data_set = "Registry" cim_fields = " ".join(splunk_windows_registry_cim_mapping.values()) elif rule.logsource.category == "file_event": - data_model = 'Endpoint' - data_set = 'Filesystem' - cim_fields = " ".join(splunk_windows_file_event_cim_mapping.values()) + data_model = "Endpoint" + data_set = "Filesystem" + cim_fields = " ".join( + splunk_windows_file_event_cim_mapping.values() + ) elif rule.logsource.product == "linux": if rule.logsource.category == "process_creation": - data_model = 'Endpoint' - data_set = 'Processes' - cim_fields = " ".join(splunk_sysmon_process_creation_cim_mapping.values()) + data_model = "Endpoint" + data_set = "Processes" + cim_fields = " ".join( + splunk_sysmon_process_creation_cim_mapping.values() + ) try: data_model_set = state.processing_state["data_model_set"] except KeyError: - raise SigmaFeatureNotSupportedByBackendError("No data model specified by processing pipeline") + raise SigmaFeatureNotSupportedByBackendError( + "No data model specified by processing pipeline" + ) try: data_set = data_model_set.split(".")[1] except IndexError: - raise SigmaFeatureNotSupportedByBackendError("No data set specified by processing pipeline") + raise SigmaFeatureNotSupportedByBackendError( + "No data set specified by processing pipeline" + ) try: fields = " ".join(state.processing_state["fields"]) except KeyError: - raise SigmaFeatureNotSupportedByBackendError("No fields specified by processing pipeline") + raise SigmaFeatureNotSupportedByBackendError( + "No fields specified by processing pipeline" + ) return f"""| tstats summariesonly=false allow_old_summaries=true fillnull_value="null" count min(_time) as firstTime max(_time) as lastTime from datamodel={data_model_set} where {query} by {fields} | `drop_dm_object_name({data_set})` | convert timeformat="%Y-%m-%dT%H:%M:%S" ctime(firstTime) | convert timeformat="%Y-%m-%dT%H:%M:%S" ctime(lastTime) -""".replace("\n", " ") +""".replace( + "\n", " " + ) def finalize_output_data_model(self, queries: List[str]) -> List[str]: - return queries \ No newline at end of file + return queries