def test_map_source_2(self):
        """Payload Source Mapping 2"""
        data_encoded = base64.b64encode('test_map_source_data_2')
        payload = self.payload_generator(kinesis_stream='test_stream_2',
                                         kinesis_data=data_encoded)

        classifier = StreamClassifier(config=self.config)
        classifier.map_source(payload)

        test_stream_2_logs = {
            'test_multiple_schemas:01', 'test_multiple_schemas:02',
            'test_log_type_json_2', 'test_log_type_json_nested_osquery',
            'test_log_type_syslog'
        }
        metadata = classifier._log_metadata()

        # service, entity, metadata test
        assert_equal(payload.service, 'kinesis')
        assert_equal(payload.entity, 'test_stream_2')
        assert_equal(set(metadata.keys()), test_stream_2_logs)
Пример #2
0
    def test_rule(self, rule_name, test_record, formatted_record):
        """Feed formatted records into StreamAlert and check for alerts
        Args:
            rule_name [str]: The rule name being tested
            test_record [dict]: A single record to test
            formatted_record [dict]: A dictionary that includes the 'data' from the
                test record, formatted into a structure that is resemblant of how
                an incoming record from a service would format it.
                See test/integration/templates for example of how each service
                formats records.

        Returns:
            [list] alerts that hit for this rule
            [integer] count of expected alerts for this rule
            [bool] boolean where False indicates errors occurred during processing
        """
        event = {'Records': [formatted_record]}

        expected_alert_count = test_record.get('trigger_count')
        if not expected_alert_count:
            expected_alert_count = 1 if test_record['trigger'] else 0

        # Run the rule processor. Passing mocked context object with fake
        # values and False for suppressing sending of alerts
        processor = StreamAlert(self.context, False)
        all_records_matched_schema = processor.run(event)

        if not all_records_matched_schema:
            payload = StreamPayload(raw_record=formatted_record)
            classifier = StreamClassifier(config=load_config())
            classifier.map_source(payload)
            logs = classifier._log_metadata()
            self.analyze_record_delta(logs, rule_name, test_record)

        alerts = processor.get_alerts()

        # we only want alerts for the specific rule being tested
        alerts = [alert for alert in alerts
                  if alert['rule_name'] == rule_name]

        return alerts, expected_alert_count, all_records_matched_schema
    def test_map_source_1(self):
        """Payload Source Mapping 1"""
        data_encoded = base64.b64encode('test_map_source data')
        payload = self.payload_generator(kinesis_stream='test_kinesis_stream',
                                         kinesis_data=data_encoded)

        classifier = StreamClassifier(config=self.config)
        classifier.map_source(payload)

        test_kinesis_stream_logs = {
            'test_log_type_json', 'test_log_type_json_2',
            'test_log_type_json_nested', 'test_log_type_json_nested_with_data',
            'test_log_type_csv', 'test_log_type_csv_nested',
            'test_log_type_kv_auditd'
        }
        metadata = classifier._log_metadata()

        # service, entity, metadata test
        assert_equal(payload.service, 'kinesis')
        assert_equal(payload.entity, 'test_kinesis_stream')
        assert_equal(set(metadata.keys()), test_kinesis_stream_logs)