S3 is one of the most utilized services when it comes to storing data over the cloud. Back in time, when in-premise workloads used to store data onsite, now is the time when a large amount of data is now stored on storage like Amazon S3.
Storing data on the cloud eliminated the cost of maintaining the physical storage, running around to scale the storage, etc. However, it increased the risk of data breaches and cyber-attacks.
Allow us to present a Python tool red-bucket that helps to identify such security risks in your Amazon S3 buckets. Below we recap on the -
Amazon S3 provides several security features to consider as you develop and implement your own security policies. These best practices are general guidelines and don’t represent a complete security solution.
Leveraging S3 security options available, one can specify the amount of access their bucket/objects will have. This can be done by using a bucket policy or an ACL.