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AWS S3 Bucket Logging Enabled Audit: SOC2 Compliance

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This runbook automates the assessment and activation of Server Access Logging for Amazon S3 buckets. It aligns with SOC2 compliance guidelines by ensuring that every S3 bucket has logging enabled, contributing to better security and traceability of actions performed on the buckets.

  1. 1

    List the names of all S3 buckets

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    This task involves retrieving and listing the names of all the S3 buckets that are currently associated with your AWS account. By fetching this list, you gain an overview of the existing S3 buckets under your account, which can aid in resource management, access control, and tracking. This information is valuable for maintaining an organized and well-structured AWS environment, ensuring efficient storage utilization, and facilitating easy navigation of your stored data.

    import json cmd = "aws s3api list-buckets" output = _exe(None, cmd,cred_label=cred_label) #Parse the JSON response response_data = json.loads(output) #Extract bucket names bucket_names = [bucket["Name"] for bucket in response_data["Buckets"]] #Print the extracted bucket names: for bucket_name in bucket_names: print(bucket_name)
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  2. 2

    Check which AWS S3 buckets have Server Access Logging enabled

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    This task involves checking AWS S3 buckets to determine if Server Access Logging is enabled. It's crucial for monitoring and diagnosing security incidents, as it records requests made to the S3 bucket, enhancing transparency and aiding compliance with security protocols.

    # SOC2 Compliance Guideline: S3 Bucket Logging import boto3 from botocore.exceptions import ClientError, NoCredentialsError, BotoCoreError creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def is_logging_enabled(bucket_name): """ Check if logging is enabled for the specified S3 bucket. """ s3 = boto3.client('s3', aws_access_key_id=access_key,aws_secret_access_key=secret_key) try: # Attempt to retrieve the bucket logging configuration logging_config = s3.get_bucket_logging(Bucket=bucket_name) # Logging is enabled if 'LoggingEnabled' key is present in the response return 'LoggingEnabled' in logging_config except ClientError as e: print(f"Error checking logging for bucket '{bucket_name}': {e}") raise def check_all_buckets_for_logging(): """ Check all S3 buckets in the account to ensure logging is enabled. """ try: s3 = boto3.client('s3',aws_access_key_id=access_key,aws_secret_access_key=secret_key) buckets = s3.list_buckets().get('Buckets', []) if not buckets: print("No S3 buckets found in the account.") return for bucket in buckets: bucket_name = bucket['Name'] if is_logging_enabled(bucket_name): print(f"Bucket '{bucket_name}' is COMPLIANT with logging enabled.") else: print(f"Bucket '{bucket_name}' is NON_COMPLIANT with logging disabled.") except NoCredentialsError: print("No AWS credentials found. Please configure your credentials.") except BotoCoreError as e: print(f"An error occurred accessing AWS S3 service: {e}") except Exception as e: print(f"An unexpected error occurred: {e}") check_all_buckets_for_logging() context.skip_sub_tasks=True
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    1. 2.1

      AWS S3 Bucket Logging Setup and Verification

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      This task involves setting up and verifying Server Access Logging for AWS S3 buckets. It ensures that logging is active for a bucket, providing detailed records of access requests. This is crucial for security monitoring, compliance with data governance standards, and effective management of AWS resources.

      import boto3 from botocore.exceptions import ClientError, BotoCoreError creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def enable_and_verify_logging(bucket_name, log_bucket, log_prefix): """ Enable logging for an S3 bucket and verify that it's been enabled, with additional checks. """ s3 = boto3.client('s3',aws_access_key_id=access_key,aws_secret_access_key=secret_key) # Check if required parameters are provided if not bucket_name or not log_bucket or not log_prefix: print("Error: Bucket name, logging bucket, or log prefix is missing.") return try: # Enable logging s3.put_bucket_logging( Bucket=bucket_name, BucketLoggingStatus={ 'LoggingEnabled': { 'TargetBucket': log_bucket, 'TargetPrefix': log_prefix } } ) print(f"Logging enabled for bucket '{bucket_name}'.") # Verify logging response = s3.get_bucket_logging(Bucket=bucket_name) if 'LoggingEnabled' in response: print("Logging Status: Enabled") print(f"HTTP Status Code: {response['ResponseMetadata']['HTTPStatusCode']}") print(f"Target Bucket: {response['LoggingEnabled']['TargetBucket']}") print(f"Target Prefix: {response['LoggingEnabled']['TargetPrefix']}") else: print("Logging is not enabled.") except ClientError as e: print(f"AWS ClientError: {e.response['Error']['Message']}") except BotoCoreError as e: print(f"BotoCoreError: {e}") except Exception as e: print(f"An unexpected error occurred: {e}") #bucket_name = 'encryption-test-bucket-789' #log_bucket = 'encryption-test-bucket-789' # It can be the same as bucket_name but not recommended #log_prefix = 'log-prefix/whatever' enable_and_verify_logging(bucket_name, log_bucket, log_prefix)
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