Source code for google.cloud.forseti.scanner.scanners.bucket_rules_scanner

# Copyright 2017 The Forseti Security Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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"""Scanner for the Bucket acls rules engine."""

import json

from google.cloud.forseti.common.gcp_type.bucket_access_controls import (
    BucketAccessControls)
from google.cloud.forseti.common.util import logger
from google.cloud.forseti.scanner.audit import buckets_rules_engine
from google.cloud.forseti.scanner.scanners import base_scanner


LOGGER = logger.get_logger(__name__)


[docs]class BucketsAclScanner(base_scanner.BaseScanner): """Pipeline to Bucket acls data from DAO.""" def __init__(self, global_configs, scanner_configs, service_config, model_name, snapshot_timestamp, rules): """Initialization. Args: global_configs (dict): Global configurations. scanner_configs (dict): Scanner configurations. service_config (ServiceConfig): Forseti 2.0 service configs model_name (str): name of the data model snapshot_timestamp (str): Timestamp, formatted as YYYYMMDDTHHMMSSZ. rules (str): Fully-qualified path and filename of the rules file. """ super(BucketsAclScanner, self).__init__( global_configs, scanner_configs, service_config, model_name, snapshot_timestamp, rules) self.rules_engine = buckets_rules_engine.BucketsRulesEngine( rules_file_path=self.rules, snapshot_timestamp=self.snapshot_timestamp) self.rules_engine.build_rule_book(self.global_configs)
[docs] @staticmethod def _flatten_violations(violations): """Flatten RuleViolations into a dict for each RuleViolation member. Args: violations (list): The RuleViolations to flatten. Yields: dict: Iterator of RuleViolations as a dict per member. """ for violation in violations: violation_data = {'role': violation.role, 'entity': violation.entity, 'email': violation.email, 'domain': violation.domain, 'bucket': violation.bucket, 'full_name': violation.full_name, 'project_id': violation.project_id} yield { 'full_name': violation.full_name, 'resource_id': violation.resource_id, 'resource_type': violation.resource_type, 'resource_name': violation.resource_name, 'rule_index': violation.rule_index, 'rule_name': violation.rule_name, 'violation_type': violation.violation_type, 'violation_data': violation_data, 'resource_data': violation.resource_data }
[docs] def _output_results(self, all_violations): """Output results. Args: all_violations (list): All violations """ all_violations = self._flatten_violations(all_violations) self._output_results_to_db(all_violations)
[docs] def _find_violations(self, bucket_acls): """Find violations in the policies. Args: bucket_acls (list): Bucket ACLs to search for violations in. Returns: list: All violations. """ all_violations = [] LOGGER.info('Finding bucket acl violations...') for bucket_acl in bucket_acls: violations = self.rules_engine.find_violations( bucket_acl) LOGGER.debug(violations) all_violations.extend(violations) return all_violations
[docs] def _retrieve(self): """Retrieves the data for scanner. Returns: list: BigQuery ACL data """ model_manager = self.service_config.model_manager scoped_session, data_access = model_manager.get(self.model_name) with scoped_session as session: bucket_acls = [] for gcs_policy in data_access.scanner_iter(session, 'gcs_policy'): bucket = gcs_policy.parent project_id = bucket.parent.name acls = json.loads(gcs_policy.data) bucket_acls.extend( BucketAccessControls.from_list( project_id=project_id, full_name=bucket.full_name, acls=acls)) return bucket_acls
[docs] def run(self): """Run, he entry point for this scanner.""" buckets_acls = self._retrieve() all_violations = self._find_violations(buckets_acls) self._output_results(all_violations)