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RHEL7STIGCompliance
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# Copyright 2017-2018 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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 limitations under the License.
'''
#####################################
## Gherkin ##
#####################################
Rule Name:
RHEL7_STIG_COMPLIANCE
Description:
Checks EC2 instances running RHEL7 OS meet STIG configuration compliance
Trigger:
Configuration changes and Periodic
Resource Type to report on:
AWS::EC2:Instance
Rule Parameters:
| ---------------------- | ---------- | -----------------------------------------------------------------------------------------|
| Parameter Name | Type | Description |
| ---------------------- | ---------- | -----------------------------------------------------------------------------------------|
| status | Optional | Whether or not the EC2 instance and/or configuration is compliant based on run command |
| NonCompliantCount | Optional | Number of issues deemed non-compliant based on Chef Inspec profile |
| ---------------------- | ---------- | -----------------------------------------------------------------------------------------|
Feature:
In order to: ensure that all EC2 Instances running RHEL7 are compliant with STIG defined parameters
As: a Security Officer
I want: To verify that the EC2 Instances in the VAEC AWS environemnt that are running the RHEL7 operating system are properly secured using STIG requirements.
Scenarios:
Scenario 1:
Given: EC2 instance is configured with RHEL7 Operating System
And: Is running in VAEC PROD VPC
And: Is not partitioned based on STIG requirements
then: Return NON_COMPLIANT
Scenario 2:
Given: EC2 instance is configured with RHEL7 Operating System
And: Is running in VAEC PROD VPC
And: The ssh configuration file does not meet STIG requirements
then: Return NON_COMPLIANT
Scenario 3:
Given: EC2 instance is configured with RHEL7 Operating System
And: Is running in VAEC PROD VPC
And: The password requirements for user account does not meet STIG requirements
then: Return NON_COMPLIANT
Scenario 4:
Given: EC2 instance is configured with RHEL7 Operating System
And: Is running in VAEC PROD VPC
And: The audit rules do not meet STIG requirements
then: Return NON_COMPLIANT
Scenario 5:
Given: EC2 instance is configured with RHEL7 Operating System
And: Is running in VAEC PROD VPC
And: The Run Command using the AWS-RunInspecChecks document returns one or more non-compliant issues
then: Return NON_COMPLIANT
Scenario 6:
Given: EC2 instance is configured with RHEL7 Operating System
And: Is running in VAEC PROD VPC
And: The Run Command using the AWS-RunInspecChecks document returns zero non-compliant issues
then: Return COMPLIANT
'''
import boto3
import botocore.exceptions
import json
import sys
##############
# Parameters #
##############
# Define the default resource to report to Config Rules
DEFAULT_RESOURCE_TYPE = 'AWS::EC2::Instance'
# Set to True to get the lambda to assume the Role attached on the Config Service (useful for cross-account).
ASSUME_ROLE_MODE = False
# Other parameters (no change needed)
CONFIG_ROLE_TIMEOUT_SECONDS = 900
#############
# Main Code #
#############
def lambda_handler(event, context):
client = boto3.client('ssm')
response = client.list_resource_compliance_summaries()
for i in response["ResourceComplianceSummaryItems"]:
status = i["Status"]
instanceId = i["ResourceId"]
count = i["NonCompliantSummary"]
for x,y in count.items():
if status == "NON_COMPLIANT" and x == "NonCompliantCount":
sns = boto3.client('sns')
alert = sns.publish(
TopicArn='arn:aws:sns:us-east-1:001395329297:NotifyMe',
Message="Instance " + instanceId + " is showing non-compliance with " + (str(y)) + " issues. Please remedy immediately.",
)
print(alert)
####################
# Helper Functions #
####################
# Build an error to be displayed in the logs when the parameter is invalid.
def build_parameters_value_error_response(ex):
"""Return an error dictionary when the evaluate_parameters() raises a ValueError.
Keyword arguments:
ex -- Exception text
"""
return build_error_response(internal_error_message="Parameter value is invalid",
internal_error_details="An ValueError was raised during the validation of the Parameter value",
customer_error_code="InvalidParameterValueException",
customer_error_message=str(ex))
# This gets the client after assuming the Config service role
# either in the same AWS account or cross-account.
def get_client(service, event):
"""Return the service boto client. It should be used instead of directly calling the client.
Keyword arguments:
service -- the service name used for calling the boto.client()
event -- the event variable given in the lambda handler
"""
if not ASSUME_ROLE_MODE:
return boto3.client(service)
credentials = get_assume_role_credentials(event["executionRoleArn"])
return boto3.client(service, aws_access_key_id=credentials['AccessKeyId'],
aws_secret_access_key=credentials['SecretAccessKey'],
aws_session_token=credentials['SessionToken']
)
# This generate an evaluation for config
def build_evaluation(resource_id, compliance_type, event, resource_type=DEFAULT_RESOURCE_TYPE, annotation=None):
"""Form an evaluation as a dictionary. Usually suited to report on scheduled rules.
Keyword arguments:
resource_id -- the unique id of the resource to report
compliance_type -- either COMPLIANT, NON_COMPLIANT or NOT_APPLICABLE
event -- the event variable given in the lambda handler
resource_type -- the CloudFormation resource type (or AWS::::Account) to report on the rule (default DEFAULT_RESOURCE_TYPE)
annotation -- an annotation to be added to the evaluation (default None)
"""
eval_cc = {}
if annotation:
eval_cc['Annotation'] = annotation
eval_cc['ComplianceResourceType'] = resource_type
eval_cc['ComplianceResourceId'] = resource_id
eval_cc['ComplianceType'] = compliance_type
eval_cc['OrderingTimestamp'] = str(json.loads(event['invokingEvent'])['notificationCreationTime'])
return eval_cc
def build_evaluation_from_config_item(configuration_item, compliance_type, annotation=None):
"""Form an evaluation as a dictionary. Usually suited to report on configuration change rules.
Keyword arguments:
configuration_item -- the configurationItem dictionary in the invokingEvent
compliance_type -- either COMPLIANT, NON_COMPLIANT or NOT_APPLICABLE
annotation -- an annotation to be added to the evaluation (default None)
"""
eval_ci = {}
if annotation:
eval_ci['Annotation'] = annotation
eval_ci['ComplianceResourceType'] = configuration_item['resourceType']
eval_ci['ComplianceResourceId'] = configuration_item['resourceId']
eval_ci['ComplianceType'] = compliance_type
eval_ci['OrderingTimestamp'] = configuration_item['configurationItemCaptureTime']
return eval_ci
####################
# Boilerplate Code #
####################
# Helper function used to validate input
def check_defined(reference, reference_name):
if not reference:
raise Exception('Error: ', reference_name, 'is not defined')
return reference
# Check whether the message is OversizedConfigurationItemChangeNotification or not
def is_oversized_changed_notification(message_type):
check_defined(message_type, 'messageType')
return message_type == 'OversizedConfigurationItemChangeNotification'
# Check whether the message is a ScheduledNotification or not.
def is_scheduled_notification(message_type):
check_defined(message_type, 'messageType')
return message_type == 'ScheduledNotification'
# Get configurationItem using getResourceConfigHistory API
# in case of OversizedConfigurationItemChangeNotification
def get_configuration(resource_type, resource_id, configuration_capture_time):
result = AWS_CONFIG_CLIENT.get_resource_config_history(
resourceType=resource_type,
resourceId=resource_id,
laterTime=configuration_capture_time,
limit=1)
configuration_item = result['configurationItems'][0]
return convert_api_configuration(configuration_item)
# Convert from the API model to the original invocation model
def convert_api_configuration(configuration_item):
for k, v in configuration_item.items():
if isinstance(v, datetime.datetime):
configuration_item[k] = str(v)
configuration_item['awsAccountId'] = configuration_item['accountId']
configuration_item['ARN'] = configuration_item['arn']
configuration_item['configurationStateMd5Hash'] = configuration_item['configurationItemMD5Hash']
configuration_item['configurationItemVersion'] = configuration_item['version']
configuration_item['configuration'] = json.loads(configuration_item['configuration'])
if 'relationships' in configuration_item:
for i in range(len(configuration_item['relationships'])):
configuration_item['relationships'][i]['name'] = configuration_item['relationships'][i]['relationshipName']
return configuration_item
# Based on the type of message get the configuration item
# either from configurationItem in the invoking event
# or using the getResourceConfigHistiry API in getConfiguration function.
def get_configuration_item(invoking_event):
check_defined(invoking_event, 'invokingEvent')
if is_oversized_changed_notification(invoking_event['messageType']):
configuration_item_summary = check_defined(invoking_event['configuration_item_summary'], 'configurationItemSummary')
return get_configuration(configuration_item_summary['resourceType'], configuration_item_summary['resourceId'], configuration_item_summary['configurationItemCaptureTime'])
elif is_scheduled_notification(invoking_event['messageType']):
return None
return check_defined(invoking_event['configurationItem'], 'configurationItem')
# Check whether the resource has been deleted. If it has, then the evaluation is unnecessary.
def is_applicable(configuration_item, event):
try:
check_defined(configuration_item, 'configurationItem')
check_defined(event, 'event')
except:
return True
status = configuration_item['configurationItemStatus']
event_left_scope = event['eventLeftScope']
if status == 'ResourceDeleted':
print("Resource Deleted, setting Compliance Status to NOT_APPLICABLE.")
return (status == 'OK' or status == 'ResourceDiscovered') and not event_left_scope
def get_assume_role_credentials(role_arn):
sts_client = boto3.client('sts')
try:
assume_role_response = sts_client.assume_role(RoleArn=role_arn,
RoleSessionName="configLambdaExecution",
DurationSeconds=CONFIG_ROLE_TIMEOUT_SECONDS)
if 'liblogging' in sys.modules:
liblogging.logSession(role_arn, assume_role_response)
return assume_role_response['Credentials']
except botocore.exceptions.ClientError as ex:
# Scrub error message for any internal account info leaks
print(str(ex))
if 'AccessDenied' in ex.response['Error']['Code']:
ex.response['Error']['Message'] = "AWS Config does not have permission to assume the IAM role."
else:
ex.response['Error']['Message'] = "InternalError"
ex.response['Error']['Code'] = "InternalError"
raise ex
# This removes older evaluation (usually useful for periodic rule not reporting on AWS::::Account).
def clean_up_old_evaluations(latest_evaluations, event):
cleaned_evaluations = []
old_eval = AWS_CONFIG_CLIENT.get_compliance_details_by_config_rule(
ConfigRuleName=event['configRuleName'],
ComplianceTypes=['COMPLIANT', 'NON_COMPLIANT'],
Limit=100)
old_eval_list = []
while True:
for old_result in old_eval['EvaluationResults']:
old_eval_list.append(old_result)
if 'NextToken' in old_eval:
next_token = old_eval['NextToken']
old_eval = AWS_CONFIG_CLIENT.get_compliance_details_by_config_rule(
ConfigRuleName=event['configRuleName'],
ComplianceTypes=['COMPLIANT', 'NON_COMPLIANT'],
Limit=100,
NextToken=next_token)
else:
break
for old_eval in old_eval_list:
old_resource_id = old_eval['EvaluationResultIdentifier']['EvaluationResultQualifier']['ResourceId']
newer_founded = False
for latest_eval in latest_evaluations:
if old_resource_id == latest_eval['ComplianceResourceId']:
newer_founded = True
if not newer_founded:
cleaned_evaluations.append(build_evaluation(old_resource_id, "NOT_APPLICABLE", event))
return cleaned_evaluations + latest_evaluations
def lambda_handler(event, context):
if 'liblogging' in sys.modules:
liblogging.logEvent(event)
global AWS_CONFIG_CLIENT
#print(event)
check_defined(event, 'event')
invoking_event = json.loads(event['invokingEvent'])
rule_parameters = {}
if 'ruleParameters' in event:
rule_parameters = json.loads(event['ruleParameters'])
try:
valid_rule_parameters = evaluate_parameters(rule_parameters)
except ValueError as ex:
return build_parameters_value_error_response(ex)
try:
AWS_CONFIG_CLIENT = get_client('config', event)
if invoking_event['messageType'] in ['ConfigurationItemChangeNotification', 'ScheduledNotification', 'OversizedConfigurationItemChangeNotification']:
configuration_item = get_configuration_item(invoking_event)
if is_applicable(configuration_item, event):
compliance_result = evaluate_compliance(event, configuration_item, valid_rule_parameters)
else:
compliance_result = "NOT_APPLICABLE"
else:
return build_internal_error_response('Unexpected message type', str(invoking_event))
except botocore.exceptions.ClientError as ex:
if is_internal_error(ex):
return build_internal_error_response("Unexpected error while completing API request", str(ex))
return build_error_response("Customer error while making API request", str(ex), ex.response['Error']['Code'], ex.response['Error']['Message'])
except ValueError as ex:
return build_internal_error_response(str(ex), str(ex))
evaluations = []
latest_evaluations = []
if not compliance_result:
latest_evaluations.append(build_evaluation(event['accountId'], "NOT_APPLICABLE", event, resource_type='AWS::::Account'))
evaluations = clean_up_old_evaluations(latest_evaluations, event)
elif isinstance(compliance_result, str):
if configuration_item:
evaluations.append(build_evaluation_from_config_item(configuration_item, compliance_result))
else:
evaluations.append(build_evaluation(event['accountId'], compliance_result, event, resource_type=DEFAULT_RESOURCE_TYPE))
elif isinstance(compliance_result, list):
for evaluation in compliance_result:
missing_fields = False
for field in ('ComplianceResourceType', 'ComplianceResourceId', 'ComplianceType', 'OrderingTimestamp'):
if field not in evaluation:
print("Missing " + field + " from custom evaluation.")
missing_fields = True
if not missing_fields:
latest_evaluations.append(evaluation)
evaluations = clean_up_old_evaluations(latest_evaluations, event)
elif isinstance(compliance_result, dict):
missing_fields = False
for field in ('ComplianceResourceType', 'ComplianceResourceId', 'ComplianceType', 'OrderingTimestamp'):
if field not in compliance_result:
print("Missing " + field + " from custom evaluation.")
missing_fields = True
if not missing_fields:
evaluations.append(compliance_result)
else:
evaluations.append(build_evaluation_from_config_item(configuration_item, 'NOT_APPLICABLE'))
# Put together the request that reports the evaluation status
result_token = event['resultToken']
test_mode = False
if result_token == 'TESTMODE':
# Used solely for RDK test to skip actual put_evaluation API call
test_mode = True
# Invoke the Config API to report the result of the evaluation
evaluation_copy = []
evaluation_copy = evaluations[:]
while evaluation_copy:
AWS_CONFIG_CLIENT.put_evaluations(Evaluations=evaluation_copy[:100], ResultToken=result_token, TestMode=test_mode)
del evaluation_copy[:100]
# Used solely for RDK test to be able to test Lambda function
return evaluations
def is_internal_error(exception):
return ((not isinstance(exception, botocore.exceptions.ClientError)) or exception.response['Error']['Code'].startswith('5')
or 'InternalError' in exception.response['Error']['Code'] or 'ServiceError' in exception.response['Error']['Code'])
def build_internal_error_response(internal_error_message, internal_error_details=None):
return build_error_response(internal_error_message, internal_error_details, 'InternalError', 'InternalError')
def build_error_response(internal_error_message, internal_error_details=None, customer_error_code=None, customer_error_message=None):
error_response = {
'internalErrorMessage': internal_error_message,
'internalErrorDetails': internal_error_details,
'customerErrorMessage': customer_error_message,
'customerErrorCode': customer_error_code
}
print(error_response)
return error_response