CreateBucket

​

Event Information

• The CreateBucket event in AWS for S3 refers to the action of creating a new bucket in the Simple Storage Service (S3) of AWS.
• When this event occurs, it indicates that a new storage container has been created in S3, which can be used to store and retrieve objects such as files, images, videos, etc.
• This event is significant as it marks the beginning of the lifecycle of a bucket, allowing users to start uploading and managing their data within the newly created S3 bucket.

​

Examples

1. Lack of proper access controls: If the CreateBucket operation in AWS S3 is not configured with appropriate access controls, it can lead to security issues. For example, if the bucket is created with public access permissions, it can expose sensitive data to unauthorized users.

2. Inadequate encryption: If the CreateBucket operation does not enforce encryption settings, it can result in data being stored in S3 without encryption. This can potentially lead to data breaches or unauthorized access to sensitive information.

3. Weak bucket policies: If the bucket policies associated with the CreateBucket operation are not properly configured, it can allow unauthorized access or privilege escalation. For instance, if the bucket policy allows unrestricted access to all users, it can compromise the security of the bucket and its contents.

​

Remediation

​

Using Console

1. Enable versioning for S3 buckets:

   • Open the AWS Management Console and navigate to the S3 service.
   • Select the desired bucket and click on the “Properties” tab.
   • Under the “Versioning” section, click on “Edit”.
   • Select “Enable versioning” and click on “Save changes”.

2. Enable server access logging for S3 buckets:

   • Open the AWS Management Console and go to the S3 service.
   • Select the target bucket and click on the “Properties” tab.
   • Under the “Server access logging” section, click on “Edit”.
   • Enable server access logging by selecting the target bucket for logging and specifying a target prefix for log files.
   • Click on “Save changes” to enable server access logging.

3. Enable cross-region replication for S3 buckets:

   • Open the AWS Management Console and navigate to the S3 service.
   • Select the source bucket and click on the “Management” tab.
   • Under the “Replication” section, click on “Add rule”.
   • Configure the replication rule by selecting the destination bucket, specifying the replication options, and setting the IAM role for replication.
   • Click on “Save changes” to enable cross-region replication for the S3 bucket.

​

Using CLI

1. Enable versioning for S3 buckets:

   • Command: aws s3api put-bucket-versioning --bucket <bucket-name> --versioning-configuration Status=Enabled

2. Restrict public access to S3 buckets:

   • Command: aws s3api put-public-access-block --bucket <bucket-name> --public-access-block-configuration "BlockPublicAcls=true,IgnorePublicAcls=true,BlockPublicPolicy=true,RestrictPublicBuckets=true"

3. Enable server-side encryption for S3 buckets:

   • Command: aws s3api put-bucket-encryption --bucket <bucket-name> --server-side-encryption-configuration '{"Rules": [{"ApplyServerSideEncryptionByDefault": {"SSEAlgorithm": "AES256"}}]}'

​

Using Python

1. Enable server-side encryption for S3 buckets:
   • Use the boto3 library in Python to interact with AWS services.
   • Use the put_bucket_encryption method to enable server-side encryption for an S3 bucket.
   • Specify the encryption configuration with the appropriate encryption algorithm and key.

import boto3

def enable_s3_bucket_encryption(bucket_name, encryption_algorithm, kms_key_id):
    s3_client = boto3.client('s3')
    encryption_config = {
        'Rules': [
            {
                'ApplyServerSideEncryptionByDefault': {
                    'SSEAlgorithm': encryption_algorithm,
                    'KMSMasterKeyID': kms_key_id
                }
            }
        ]
    }
    s3_client.put_bucket_encryption(
        Bucket=bucket_name,
        ServerSideEncryptionConfiguration=encryption_config
    )

2. Enable versioning for S3 buckets:
   • Use the boto3 library in Python to interact with AWS services.
   • Use the put_bucket_versioning method to enable versioning for an S3 bucket.

import boto3

def enable_s3_bucket_versioning(bucket_name):
    s3_client = boto3.client('s3')
    s3_client.put_bucket_versioning(
        Bucket=bucket_name,
        VersioningConfiguration={
            'Status': 'Enabled'
        }
    )

3. Enable logging for S3 buckets:
   • Use the boto3 library in Python to interact with AWS services.
   • Use the put_bucket_logging method to enable logging for an S3 bucket.
   • Specify the target bucket and prefix for the log files.

import boto3

def enable_s3_bucket_logging(bucket_name, target_bucket, target_prefix):
    s3_client = boto3.client('s3')
    s3_client.put_bucket_logging(
        Bucket=bucket_name,
        BucketLoggingStatus={
            'LoggingEnabled': {
                'TargetBucket': target_bucket,
                'TargetPrefix': target_prefix
            }
        }
    )
}