Misconfigured Amazon S3 buckets can expose data to unauthorized access. Policies or Access Control Lists (ACLs) with broad access settings may go unnoticed without proactive review. This guide provides a framework to identify and fix these issues.
The solution outlines a five-phase workflow for detecting, remediating, and continuously monitoring over-permissioned S3 buckets across AWS accounts. This methodology is designed for security teams to adapt based on their organizational requirements and existing security tools.
This solution is intended for security engineers, cloud architects, and DevOps teams managing AWS environments with Amazon S3 workloads. Prerequisites include an AWS account with permissions for Lambda, IAM roles, and SNS topics, along with the AWS CLI or SDK. For multi-account setups, AWS Organizations should be configured.
The detection phase involves deploying AWS Config rules, such as `s3-bucket-public-read-prohibited` and `s3-bucket-public-write-prohibited`. An audit Lambda function scans each S3 bucket, checking Public Access Block configurations and bucket policy status to identify over-permissioned access.
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AWS published a guide detailing a five-phase workflow to detect, remediate, and continuously monitor over-permissioned Amazon S3 buckets. This workflow helps security teams prevent unauthorized data access due to misconfigured S3 policies or ACLs.