Example #1
0
class TestStreamAlertFirehose(object):
    """Test class for StreamAlertFirehose"""
    def __init__(self):
        self.__sa_firehose = None

    def teardown(self):
        """Setup before each method"""
        self.__sa_firehose = None

    @staticmethod
    def _sample_categorized_payloads():
        return {
            'unit_test_simple_log': [{
                'unit_key_01': 1,
                'unit_key_02': 'test'
            }, {
                'unit_key_01': 2,
                'unit_key_02': 'test'
            }],
            'test_log_type_json_nested': [{
                'date': 'January 01, 3005',
                'unixtime': '32661446400',
                'host': 'my-host.name.website.com',
                'data': {
                    'super': 'secret'
                }
            }]
        }

    @mock_kinesis
    def _mock_delivery_streams(self, delivery_stream_names):
        """Mock Kinesis Delivery Streams for tests"""
        for delivery_stream in delivery_stream_names:
            self.__sa_firehose._firehose_client.create_delivery_stream(
                DeliveryStreamName=delivery_stream,
                S3DestinationConfiguration={
                    'RoleARN':
                    'arn:aws:iam::123456789012:role/firehose_delivery_role',
                    'BucketARN': 'arn:aws:s3:::kinesis-test',
                    'Prefix': '{}/'.format(delivery_stream),
                    'BufferingHints': {
                        'SizeInMBs': 123,
                        'IntervalInSeconds': 124
                    },
                    'CompressionFormat': 'Snappy',
                })

    @patch('stream_alert.rule_processor.firehose.LOGGER')
    @mock_kinesis
    def test_record_delivery_failed_put_count(self, mock_logging):
        """StreamAlertFirehose - Record Delivery - Failed Put Count"""
        self.__sa_firehose = StreamAlertFirehose(region='us-east-1',
                                                 firehose_config={},
                                                 log_sources={})

        # Add sample categorized payloads
        for payload_type, logs in self._sample_categorized_payloads(
        ).iteritems():
            self.__sa_firehose.categorized_payloads[payload_type].extend(logs)

        # Setup mocked Delivery Streams
        self._mock_delivery_streams([
            'streamalert_data_test_log_type_json_nested',
            'streamalert_data_unit_test_simple_log'
        ])

        with patch.object(self.__sa_firehose._firehose_client,
                          'put_record_batch') as firehose_mock:
            firehose_mock.side_effect = [{
                'FailedPutCount':
                3,
                'RequestResponses': [{
                    "ErrorCode": "ServiceUnavailableException",
                    "ErrorMessage": "Slow down."
                }, {
                    "ErrorCode": "ServiceUnavailableException",
                    "ErrorMessage": "Slow down."
                }, {
                    "ErrorCode": "ServiceUnavailableException",
                    "ErrorMessage": "Slow down."
                }]
            }, {
                'FailedPutCount':
                3,
                'RequestResponses': [{
                    "ErrorCode": "ServiceUnavailableException",
                    "ErrorMessage": "Slow down."
                }, {
                    "ErrorCode": "ServiceUnavailableException",
                    "ErrorMessage": "Slow down."
                }, {
                    "ErrorCode": "ServiceUnavailableException",
                    "ErrorMessage": "Slow down."
                }]
            }, {
                'FailedPutCount':
                0,
                'RequestResponses': [{
                    "RecordId": "12345678910",
                    "ErrorCode": "None",
                    "ErrorMessage": "None"
                }, {
                    "RecordId": "12345678910",
                    "ErrorCode": "None",
                    "ErrorMessage": "None"
                }, {
                    "RecordId": "12345678910",
                    "ErrorCode": "None",
                    "ErrorMessage": "None"
                }]
            }]
            self.__sa_firehose.send()

            firehose_mock.assert_called()
            assert_true(mock_logging.info.called)

    @patch('stream_alert.rule_processor.firehose.LOGGER')
    @mock_kinesis
    def test_record_delivery(self, mock_logging):
        """StreamAlertFirehose - Record Delivery"""
        self.__sa_firehose = StreamAlertFirehose(region='us-east-1',
                                                 firehose_config={},
                                                 log_sources={})

        # Add sample categorized payloads
        for payload_type, logs in self._sample_categorized_payloads(
        ).iteritems():
            self.__sa_firehose.categorized_payloads[payload_type].extend(logs)

        # Setup mocked Delivery Streams
        self._mock_delivery_streams([
            'streamalert_data_test_log_type_json_nested',
            'streamalert_data_unit_test_simple_log'
        ])

        # Send the records
        with patch.object(self.__sa_firehose._firehose_client,
                          'put_record_batch') as firehose_mock:
            firehose_mock.return_value = {'FailedPutCount': 0}
            self.__sa_firehose.send()

            firehose_mock.assert_called()
            assert_true(mock_logging.info.called)

    @patch('stream_alert.rule_processor.firehose.LOGGER')
    @mock_kinesis
    def test_record_delivery_failure(self, mock_logging):
        """StreamAlertFirehose - Record Delivery - Failed PutRecord"""
        self.__sa_firehose = StreamAlertFirehose(region='us-east-1',
                                                 firehose_config={},
                                                 log_sources={})

        # Add sample categorized payloads
        for payload_type, logs in self._sample_categorized_payloads(
        ).iteritems():
            self.__sa_firehose.categorized_payloads[payload_type].extend(logs)

        # Setup mocked Delivery Streams
        self._mock_delivery_streams([
            'streamalert_data_test_log_type_json_nested',
            'streamalert_data_unit_test_simple_log'
        ])

        # Send the records
        with patch.object(self.__sa_firehose._firehose_client,
                          'put_record_batch') as firehose_mock:
            firehose_mock.return_value = {
                'FailedPutCount':
                3,
                'RequestResponses': [
                    {
                        'RecordId': '12345',
                        'ErrorCode': '300',
                        'ErrorMessage': 'Bad message!!!'
                    },
                ]
            }
            self.__sa_firehose.send()

            firehose_mock.assert_called()
            assert_true(mock_logging.error.called)

    @patch('stream_alert.rule_processor.firehose.LOGGER')
    @mock_kinesis
    def test_record_delivery_client_error(self, mock_logging):
        """StreamAlertFirehose - Record Delivery - Client Error"""
        sa_firehose = StreamAlertFirehose(region='us-east-1',
                                          firehose_config={},
                                          log_sources={})

        test_events = [
            # unit_test_simple_log
            {
                'unit_key_01': 2,
                'unit_key_02': 'testtest'
            } for _ in range(10)
        ]

        sa_firehose._firehose_request_helper('invalid_stream', test_events)

        missing_stream_message = 'Client Error ... An error occurred ' \
            '(ResourceNotFoundException) when calling the PutRecordBatch ' \
            'operation: Stream invalid_stream under account 123456789012 not found.'
        assert_true(mock_logging.error.called_with(missing_stream_message))

    @mock_kinesis
    def test_load_enabled_sources(self):
        """StreamAlertFirehose - Load Enabled Sources"""
        config = load_config('tests/unit/conf')
        firehose_config = {
            'enabled_logs':
            ['json:regex_key_with_envelope', 'test_cloudtrail', 'cloudwatch']
        }  # expands to 2 logs

        sa_firehose = StreamAlertFirehose(region='us-east-1',
                                          firehose_config=firehose_config,
                                          log_sources=config['logs'])

        assert_equal(len(sa_firehose._enabled_logs), 4)
        # Make sure the subtitution works properly
        assert_true(all([':' not in log for log in sa_firehose.enabled_logs]))
        assert_false(sa_firehose.enabled_log_source('test_inspec'))

    @patch('stream_alert.rule_processor.firehose.LOGGER')
    @mock_kinesis
    def test_load_enabled_sources_invalid_log(self, mock_logging):
        """StreamAlertFirehose - Load Enabled Sources - Invalid Log"""
        config = load_config('tests/unit/conf')
        firehose_config = {'enabled_logs': ['log-that-doesnt-exist']}

        sa_firehose = StreamAlertFirehose(region='us-east-1',
                                          firehose_config=firehose_config,
                                          log_sources=config['logs'])

        assert_equal(len(sa_firehose._enabled_logs), 0)
        assert_true(mock_logging.error.called)

    def test_segment_records_by_size(self):
        """StreamAlertFirehose - Segment Large Records"""
        sa_firehose = StreamAlertFirehose(region='us-east-1',
                                          firehose_config={},
                                          log_sources={})

        record_batch = [
            # unit_test_simple_log
            {
                'unit_key_01': 2,
                'unit_key_02': 'testtest' * 10000
            } for _ in range(100)
        ]

        sized_batches = []

        for sized_batch in sa_firehose._segment_records_by_size(record_batch):
            sized_batches.append(sized_batch)

        assert_true(len(str(sized_batches[0])) < 4000000)
        assert_equal(len(sized_batches), 4)
        assert_true(isinstance(sized_batches[3][0], dict))

    def test_sanitize_keys(self):
        """StreamAlertFirehose - Sanitize Keys"""
        # test_log_type_json_nested
        test_event = {
            'date': 'January 01, 3005',
            'unixtime': '32661446400',
            'host': 'my-host.name.website.com',
            'data': {
                'super-duper': 'secret',
                'sanitize_me': 1,
                'example-key': 1,
                'moar**data': 2,
                'even.more': 3
            }
        }

        expected_sanitized_event = {
            'date': 'January 01, 3005',
            'unixtime': '32661446400',
            'host': 'my-host.name.website.com',
            'data': {
                'super_duper': 'secret',
                'sanitize_me': 1,
                'example_key': 1,
                'moar__data': 2,
                'even_more': 3
            }
        }

        sanitized_event = StreamAlertFirehose.sanitize_keys(test_event)
        assert_equal(sanitized_event, expected_sanitized_event)

    @patch('stream_alert.rule_processor.firehose.LOGGER')
    def test_limit_record_size(self, mock_logging):
        """StreamAlertFirehose - Record Size Check"""
        test_events = [
            # unit_test_simple_log
            {
                'unit_key_01': 1,
                'unit_key_02': 'test' * 250001  # is 4 bytes higher than max
            },
            {
                'unit_key_01': 2,
                'unit_key_02': 'test'
            },
            # test_log_type_json_nested
            {
                'date': 'January 01, 3005',
                'unixtime': '32661446400',
                'host': 'my-host.name.website.com',
                'data': {
                    'super': 'secret'
                }
            }
        ]

        StreamAlertFirehose._limit_record_size(test_events)

        assert_true(len(test_events), 2)
        assert_true(mock_logging.error.called)
Example #2
0
class StreamAlert(object):
    """Wrapper class for handling StreamAlert classification and processing"""
    config = {}

    def __init__(self, context):
        """Initializer

        Args:
            context (dict): An AWS context object which provides metadata on the currently
                executing lambda function.
        """
        # Load the config. Validation occurs during load, which will
        # raise exceptions on any ConfigErrors
        StreamAlert.config = StreamAlert.config or load_config()

        # Load the environment from the context arn
        self.env = load_env(context)

        # Instantiate the send_alerts here to handle sending the triggered alerts to the
        # alert processor
        self.alert_forwarder = AlertForwarder()

        # Instantiate a classifier that is used for this run
        self.classifier = StreamClassifier(config=self.config)

        self._failed_record_count = 0
        self._processed_record_count = 0
        self._processed_size = 0
        self._alerts = []

        rule_import_paths = [
            item for location in {'rule_locations', 'matcher_locations'}
            for item in self.config['global']['general'][location]
        ]

        # Create an instance of the StreamRules class that gets cached in the
        # StreamAlert class as an instance property
        self._rules_engine = RulesEngine(self.config, *rule_import_paths)

        # Firehose client attribute
        self._firehose_client = None

    def run(self, event):
        """StreamAlert Lambda function handler.

        Loads the configuration for the StreamAlert function which contains
        available data sources, log schemas, normalized types, and outputs.
        Classifies logs sent into a parsed type.
        Matches records against rules.

        Args:
            event (dict): An AWS event mapped to a specific source/entity
                containing data read by Lambda.

        Returns:
            bool: True if all logs being parsed match a schema
        """
        records = event.get('Records', [])
        LOGGER.debug('Number of incoming records: %d', len(records))
        if not records:
            return False

        firehose_config = self.config['global'].get('infrastructure',
                                                    {}).get('firehose', {})
        if firehose_config.get('enabled'):
            self._firehose_client = StreamAlertFirehose(
                self.env['lambda_region'], firehose_config,
                self.config['logs'])

        payload_with_normalized_records = []
        for raw_record in records:
            # Get the service and entity from the payload. If the service/entity
            # is not in our config, log and error and go onto the next record
            service, entity = self.classifier.extract_service_and_entity(
                raw_record)
            if not service:
                LOGGER.error(
                    'No valid service found in payload\'s raw record. Skipping '
                    'record: %s', raw_record)
                continue

            if not entity:
                LOGGER.error(
                    'Unable to extract entity from payload\'s raw record for service %s. '
                    'Skipping record: %s', service, raw_record)
                continue

            # Cache the log sources for this service and entity on the classifier
            if not self.classifier.load_sources(service, entity):
                continue

            # Create the StreamPayload to use for encapsulating parsed info
            payload = load_stream_payload(service, entity, raw_record)
            if not payload:
                continue

            payload_with_normalized_records.extend(
                self._process_alerts(payload))

        # Log normalized records metric
        MetricLogger.log_metric(FUNCTION_NAME, MetricLogger.NORMALIZED_RECORDS,
                                len(payload_with_normalized_records))

        # Apply Threat Intel to normalized records in the end of Rule Processor invocation
        record_alerts = self._rules_engine.threat_intel_match(
            payload_with_normalized_records)
        self._alerts.extend(record_alerts)
        if record_alerts:
            self.alert_forwarder.send_alerts(record_alerts)

        MetricLogger.log_metric(FUNCTION_NAME, MetricLogger.TOTAL_RECORDS,
                                self._processed_record_count)

        MetricLogger.log_metric(FUNCTION_NAME,
                                MetricLogger.TOTAL_PROCESSED_SIZE,
                                self._processed_size)

        LOGGER.debug('Invalid record count: %d', self._failed_record_count)

        MetricLogger.log_metric(FUNCTION_NAME, MetricLogger.FAILED_PARSES,
                                self._failed_record_count)

        LOGGER.debug('%s alerts triggered', len(self._alerts))

        MetricLogger.log_metric(FUNCTION_NAME, MetricLogger.TRIGGERED_ALERTS,
                                len(self._alerts))

        # Check if debugging logging is on before json dumping alerts since
        # this can be time consuming if there are a lot of alerts
        if self._alerts and LOGGER.isEnabledFor(LOG_LEVEL_DEBUG):
            LOGGER.debug(
                'Alerts:\n%s',
                json.dumps([alert.output_dict() for alert in self._alerts],
                           indent=2,
                           sort_keys=True))

        if self._firehose_client:
            self._firehose_client.send()

        # Only log rule info here if this is not running tests
        # During testing, this gets logged at the end and printing here could be confusing
        # since stress testing calls this method multiple times
        if self.env['lambda_alias'] != 'development':
            stats.print_rule_stats(True)

        return self._failed_record_count == 0

    @property
    def alerts(self):
        """Returns list of Alert instances (useful for testing)."""
        return self._alerts

    def _process_alerts(self, payload):
        """Run the record through the rules, saving any alerts and forwarding them to Dynamo.

        Args:
            payload (StreamPayload): StreamAlert payload object being processed
        """
        payload_with_normalized_records = []
        for record in payload.pre_parse():
            # Increment the processed size using the length of this record
            self._processed_size += len(record.pre_parsed_record)
            self.classifier.classify_record(record)
            if not record.valid:
                if self.env['lambda_alias'] != 'development':
                    LOGGER.error(
                        'Record does not match any defined schemas: %s\n%s',
                        record, record.pre_parsed_record)

                self._failed_record_count += 1
                continue

            # Increment the total processed records to get an accurate assessment of throughput
            self._processed_record_count += len(record.records)

            LOGGER.debug(
                'Classified and Parsed Payload: <Valid: %s, Log Source: %s, Entity: %s>',
                record.valid, record.log_source, record.entity)

            record_alerts, normalized_records = self._rules_engine.run(record)

            payload_with_normalized_records.extend(normalized_records)

            LOGGER.debug(
                'Processed %d valid record(s) that resulted in %d alert(s).',
                len(payload.records), len(record_alerts))

            # Add all parsed records to the categorized payload dict only if Firehose is enabled
            if self._firehose_client:
                # Only send payloads with enabled log sources
                if self._firehose_client.enabled_log_source(
                        payload.log_source):
                    self._firehose_client.categorized_payloads[
                        payload.log_source].extend(payload.records)

            if not record_alerts:
                continue

            # Extend the list of alerts with any new ones so they can be returned
            self._alerts.extend(record_alerts)

            self.alert_forwarder.send_alerts(record_alerts)

        return payload_with_normalized_records