AWS S3 bucket Terraform module. In the Buckets list, choose the name of the bucket that you want. In addition, S3 bucket Object Lock configuration can be imported using the bucket and expected_bucket_owner separated by a comma (,) e.g., $ terraform import aws_s3_bucket_object_lock_configuration.example bucket-name,123456789012 As we all know, fixing a setting after your S3 bucket is used in production can be costly, time consuming, and downright depressing. This is commonly overlooked. Depending on how many S3 files you want to process, you might want to change these parameters to their maximum values: Memory size = 10240 Timeout = 900 S3 Event Notification https://docs.aws.amazon.com/AmazonS3/latest/userguide/security-best-practices.html, S3 bucket without specific actions in the policy, heres a similar example where encryption is not used, Ensure the buckets are not public by their ACLs, Checks bucket ACLs, as well as public access blocks configured in the account itself, or within the IaC, Ensure the buckets are not public by their policy, Ensure you follow least privilege concepts in your policies, Checks bucket policies, and some IAM policies, Calculates how IAM and bucket policies impact every pair of IAM Entity and Bucket to determine where there are exposures, Checks if bucket is not encrypted, or traffic is not encrypted. aws_ s3_ bucket_ server_ side_ encryption_ configuration aws_ s3_ bucket_ versioning aws_ s3_ bucket_ website_ configuration aws_ s3_ object . The intention of this set of assets is to allow exploration of using strong encryption-at-rest with S3 and AWS managed keys. Step-6: Apply Terraform changes. Make sure its not public, unless you meant for it to be. If its not, youll get a message about it from Cloudrail. If you havent read it, suggest doing so before continuing: https://docs.aws.amazon.com/AmazonS3/latest/userguide/security-best-practices.html. The only step you need to take is creating the Terraform files so they deploy the S3 buckets. WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. Are you sure you want to create this branch? I have started with just provider declaration and one simple resource to create a bucket as shown below-. Follow these steps to create the bucket.tf file and variables.tf file and deploy S3 bucket instances. You may obtain a copy of the License at, http://www.apache.org/licenses/LICENSE-2.0. Now run terraform apply to create s3 bucket. These are great . For example, Anton Babenkos VPC module will do that by default. If such a block is set, then a public ACL on a bucket will not trigger a violation. After creating a Terraform file, you can continue to deploy S3 buckets within seconds without having to configure each one of them. The bucket.tf file stores the basic configurations for the S3 bucket instance. This command will work for s3 resource declaration like: resource "aws_s3_bucket" "mybucket" { bucket = "s3-bucket-name" server_side_encryption_configuration { rule { apply_server_side . Theyre named. Note that for the access credentials we recommend using a partial configuration. Step 1: Create the bucket.tf File Terraform template files can be used to repeat the same process numerous times instead of manually configuring, Terraform vs. Kubernetes: Key Differences, Object vs File Storage: When and Why to Use Them. Encrypt the data at rest (when its resting on AWSs hardware). Both of these files will contain the S3 bucket name, configurations, access keys to user profiles so that the bucket can be accessible, and a region to store the bucket. The following is a collection of materials around S3 policies in general, and some about S3 and encryption. Posted by Yoni Leitersdorf on April 27, 2021 in Infrastructure Compliance Automation. isn't it supported? The AWS S3 bucket policy shouldnt grant any principal wide actions, like * and s3:*. SSE encryption of S3 using Terraform. Share. We often hear the news that some apps or companies have data breaches because of insecure AWS S3 buckets. the user I am using to log into the AWS Management Console does not have sufficient rights to view the s3 bucket encryption property. www.faun.dev, AWS Community Builder, Ex-Redhat, Author, Blogger, YouTuber, RHCA, RHCDS, RHCE, Docker Certified,4XAWS, CCNA, MCP, Certified Jenkins, Terraform Certified, 1XGCP. Version your objects so you can roll back, and lock objects from being modified. In between those two steps, you insert a Terraform security analysis tool. aws_s3_bucket_server_side_encryption_configuration.this: resource: aws_s3_bucket_versioning.this: This release introduces significant, breaking changes to the Amazon S3 bucket resource. To avoid that from happening to your organization, follow AWS best practices, and enforce them at the build stage, by using a Terraform security tool. Terraform module which creates S3 bucket on AWS with all (or almost all) features provided by Terraform AWS provider. Please feel free to collaborate with me there and make your S3 buckets more secure. I am trying to create encrypted S3 bucket. New or Affected Resource(s) aws_s3_bucket; aws_s3_bucket_object; Potential Terraform Configuration. Use the following code in the bucket.tf file: If you already have Terraform initialized from the previous section, then you do not need to execute it again. A tag already exists with the provided branch name. Objects can be encrypted with S3 Managed Keys (SSE-S3), KMS Managed Keys (SSE-KMS), or Customer Provided Keys (SSE-C). You can then apply the changes to your environment to create the S3 bucket. After I execute terraform apply, it all looks good, but when I look at the bucket in the AWS Console, it's not encrypted. Example Configuration. Use VPC endpoints for accessing AWS S3 bucket data, to avoid traffic going over the public Internet. NOTE: Every S3 bucket must be unique and that why random id is useful to prevent our bucket to collide with others. The end goal is to demonstrate the creation of an S3 bucket that has strong encryption-at-rest and an EC2 instance that can use the appropriate key(s) to read from the bucket. https://aws.amazon.com/blogs/big-data/process-encrypted-data-in-amazon-emr-with-amazon-s3-and-aws-kms/, https://aws.amazon.com/blogs/big-data/encrypt-your-amazon-redshift-loads-with-amazon-s3-and-aws-kms/, https://aws.amazon.com/blogs/security/how-to-restrict-amazon-s3-bucket-access-to-a-specific-iam-role/, http://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements_condition.html, http://docs.aws.amazon.com/AmazonS3/latest/dev/example-bucket-policies.html, https://www.terraform.io/docs/providers/aws/d/iam_policy_document.html. One thing to note is that by default, Lambda has a timeout of three seconds and memory of 128 MBs only. This doesn't change the way the objects are accessed, as long as the user has the necessary permissions . AWS KMS key ARN Its not unusual for a large enterprise to deploy numerous S3 buckets for development, testing, and other services. Some of the tools mentioned above are capable of identifying this, including Cloudrail. Pre-requisites. Navigate inside the bucket and create your bucket configuration file. Terraform Import - method one. Instead of manually provisioning several S3 buckets, you can use Terraform to deploy them within seconds. We will also cover the AWS S3 object bucket in terraform. Source tells Terraform where to go to get the module information, mine is stored at that url. In this example, two Terraform template files are created. a sample policy could be, if you are working with AWS, you should not create an S3 bucket, without having any encryption. For that, create one folder named "S3," we will have two files: bucket.tf and var.tf. aws_ s3_ bucket_ server_ side_ encryption_ configuration aws_ s3_ bucket_ versioning aws_ s3_ bucket_ website_ configuration terraform { backend "s3" { bucket = "mybucket" key = "path/to/my/key" region = "us-east-1" } } Copy. When we perform a plan, Terraform Cloud sends the planned output to Sentinel for policy checking. Take a look at Cloudrail today, by signing up and beginning to use it within minutes. Description . Step-5: Initialize Terraform. Here are some additional notes for the above-mentioned Terraform file - for_each = fileset("uploads/", "*") - For loop for iterating over the files located under upload directory. Under Default encryption, choose Edit. You can also edit sentinel.hclin your own fork to select the policies you want to use and their enforcement levels. It is suitable for DevOps engineers with a security mindset. This example is simple yet powerful. If a bucket is public, Cloudrail will not require it to be encrypted. We then need a DynamoDB table with a hash key of LockID that Terraform will use for consistency checking and state locking. Choose Properties. All code and examples from this blog can be found in this repository. bucket: name of the bucket, if we ommit that terraform will assign random bucket name acl: Default to Private(other options public-read and public-read-write) versioning: Versioning automatically keeps up with different versions of the same object.. Enabling server-side encryption (SSE) on S3 buckets at the object level protects data at rest and helps prevent the breach of sensitive information assets. And also , Click the bucket , Choose Properties , to verify whether versioning is enabled. In this example, two Terraform template files are created. What this means is that you have a job/step that executes terraform plan -out=myfile and a separate job/step that runs terraform apply myfile. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Were here to help. module s3_bucket { source = "github.com/jakeasarus/terraform/s3_bucket" bucket_prefix = "this-is-only-a-test-bucket-delete-me-123" target_bucket = "this-is-the-target-bucket" } This is an example of the usage. hashicorp/terraform-provider-aws latest version 4.38.0. This can only be used when you set the value of sse_algorithm as aws:kms. The end goal is to demonstrate the creation of an S3 bucket that has strong encryption-at-rest and an EC2 instance that can use the appropriate key(s) to read from the bucket. If you dont have one, you can apply for a trial Terraform Cloud account, An AWS account to provision S3 buckets. Lets review a few of AWSs suggested best practices and how theyre handled with a Terraform security analysis tool. You can cut down provisioning time from several hours to a few seconds. Disabling server-side encryption of S3 buckets is security-sensitive. Instead, you can use a Terraform template to streamline the process. Type the following commands in Terraform, but exclude the first command if you already have Terraform initialized: Terraform template files can be used to repeat the same process numerous times instead of manually configuring AWS cloud services every time you need them. Although AWS published S3 security best practices a few years ago, this still happens and makes headlines. There is a "simple" case demonstrated, with all assets in a single AWS account, and a "complex" case, where the S3 bucket is in a different account to the EC2 instance. If not, you must initialize Terraform before applying environment changes. aws_ s3_ bucket_ intelligent_ tiering_ configuration . Create S3 bucket module Create a module that will have a basic S3 file configuration. . The diagram below illustrates this idea: This blog will show you how to use Terraform Enterprise/Cloud to govern the AWS S3 provisioning process and ensure that all S3 buckets provisioned by Terraform are compliant with AWS published S3 security best practices. AWS has a detailed document covering their suggestions for securing S3 buckets. Being able to persist data in S3 with strong encryption is a very attractive option on top of controlling access to the contents of buckets. Get our monthly roundup with the latest information and insights to inspire action. Still in the project directory create a subdirectory for the module code: $ mkdir s3-website. LifeCycle object supports the following but I am going to enable just the required parameters, Join our community Slack and read our weekly Faun topics , We help developers learn and grow by keeping them up with what matters. In the above example, we try to create an AWS S3 bucket that has the property aclset to one of the canned ACL policies, "public-read-write".When we perform a plan . Hashicorps Terraform uses the concept of infrastructure as code to avoid human mistakes. This preventative behavior is better than finding non-compliant resources after the fact. Terraform module which creates S3 bucket on AWS with all (or almost all) features provided by Terraform AWS provider. Use Amazon Macie to identify sensitive content in your S3 buckets. Use AWS Config and other AWS security services to identify deviations from the suggested measures. S3 is easy to use and we can store and retrieve any amount of data from anywhere on the web. Encrypt the data in transit (as its crossing the Internet). Why AI Healthcare Solutions Provide Better Outcomes. SSD vs. HDD Speeds: Whats the Difference? $ terraform import aws_s3_bucket_object_lock_configuration.example bucket-name. Some of the tools mentioned above are capable of identifying these issues, including Cloudrail. Copyright 2018 Leap Beyond Emerging Technologies B.V. Terraform Enterprise/Cloud is a secure and reliable Infrastructure as Code pipeline, with preventative guardrails to make sure resources generated via this pipeline are in line with your organizations security and operational guidelines. The specific principal referenced is the root user of that account, but this is effective for any IAM user/role on that account having access specifically granted via an IAM policy. Overview . distributed under the License is distributed on an "AS IS" BASIS, You can start a trial plan that includes Terraform Cloud Governance in the Plan and Billing screen of your organization. Step 3: Create DynamoDB table. Trigger a Plan or Run of your workspace, and see the result. window_in_days = 10} resource " aws_s3_bucket " " example " { bucket = " example " server_side_encryption . Request an invite to our Slack support channel for the fastest response. This is an opinionated approach, but avoids creating noise for the development team and stopping the CI pipeline unnecessarily. (Provisioning S3 buckets by itself wont cost you any money. . $ cd s3-website. Unless required by applicable law or agreed to in writing, software Licensed under the Apache License, Version 2.0 (the "License"); AWS S3 bucket Terraform module. Cloudrail takes this a step further and actually checks to see if a bucket is public (either directly, or through a proxy like CloudFront). You can use open source options like checkov, tfsec, OPA, terraform-compliance and terrascan. E.g. Theyre named bucket.tf and variables.tf. In this example, read-only access to the bucket the-private-bucket is delegated to the AWS account 123456789012 . A Community Blog by the Solutions Engineers of HashiCorp and Invited Guests, How to estimate user stories with Planning PokerPart 2/2, How to Lose Money with the New AWS ELB Network Load Balancer, Scaling Out Azure Functions With Event Hubs Effectively 2, resource "aws_s3_bucket" "bucket-public-read-write-acl" {, policy disallow-s3-acl-public-read-write {, policy enforce-s3-versioning-mfa-delete-enabled-true {, policy enforce-s3-versioning-enabled-true {, policy enforce-s3-server-side-encryption-enabled-true {, //find all aws_s3_bucket that has acl=public-read-write, violatingS3Buckets = filter tfplan.resource_changes as _, rc {, //print out address for non-compliant bucket, disallow-s3-acl-public-read-write.sentinel, More from HashiCorp Solutions Engineering Blog, A Terraform Enterprise/Cloud account. For example, take a look at an S3 bucket policy allowing public read: In this specific example, the use of "Principal": {"AWS": "*"}, is the problematic part of the policy. AWS Simple Storage Service(S3) provides secure, durable and highly scalable object storage. terraform remote config -backend=S3 -backend-config="bucket=<bucket>" -backend-config="key=<path to file>" This will setup S3 as your remote storage provider, and store remote states in. Different IaC security tools have varying ways of alerting about this, as can be seen here. In this example, two Terraform template files are created. resource . The default aws/s3 AWS KMS master key is used if this element is absent while the sse_algorithm is aws:kms. Detailed Explanation. Cloudrail takes this a step further and actually checks to see if a bucket is public (either directly, or through a proxy like CloudFront). Search for the name of the bucket you have mentioned. Refer to the README.md in each of the sub directories for more information. There is a "simple" case demonstrated, with all assets in a single AWS account, and a "complex" case, where the S3 bucket is in a different account to the EC2 instance. Amazon S3 Bucket Keys reduce the request costs of Amazon S3 server-side encryption (SSE) with AWS Key Management Service (KMS). kms_master_key_id - (optional) The AWS KMS master key ID used for the SSE-KMS encryption. Connect a policy set to a fork of this repository and select workspaces that you want to govern. See the aws_s3_bucket_server_side_encryption_configuration resource for configuration details. Well assume you use Terraform for building your S3 buckets, and have some sort of CI/CD process around it (using a generic CI/CD platform, or a Terraform-specific one). With this knowledge we can now write a simple Terraform Module. The Terraform state is written to the key path/to/my/key. Indeni uses cookies to allow us to better understand how the site is used. You can have a bucket exposed publicly by setting a policy with a principal of *. hashicorp/terraform-provider-aws latest version 4.38.0. Both of these files will contain the S3 bucket name, configurations, access keys to user profiles so that the bucket can be accessible, and a region to store the bucket. 3. Checks which VPCs have entities accessing known services, then verifies VPC endpoints are configured, routing tables have assignments for those VPC endpoints and that the S3 bucket policy uses. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. See the License for the specific language governing permissions and Encrypting the bucket at rest is covered by all of the IaC security tools. Cloudrail is unique in that it not only is aware of the need for the S3 endpoints, it will also check that your S3 bucket policy is requiring traffic accessing the objects to come from your defined VPC endpoints. Published a day ago. Create a Terraform file with the following code: To execute commands in Terraform, you first must initialize it. By continuing to use this site, you consent to this policy. The abovefor loop prints out the addresses of all violating S3 buckets. According to the S3 official Doc, S3 bucket can be imported using. Or, you can choose to use our very own Cloudrail. S3 buckets are Amazons cloud storage service. NOTE: Every S3 bucket must be unique and that why random id is useful to prevent our bucket to collide with others. $ terraform import aws_s3_bucket.mybucket s3-bucket-name. If a bucket is public, Cloudrail will not require it to be encrypted. Choose from your AWS KMS keys, and choose a symmetric encryption KMS key in the same Region as your bucket. Understanding the differences between tools like Terraform, CloudFormation, Ansible, and Puppet. One difference with Cloudrail is that it can actually see if you have a public access block set at the bucket level or the account level (even if set outside of Terraform!). HashiCorp has announced the release of version 4.0 of their Terraform AWS provider. One of the reasons is that S3 buckets created with the Amazon S3 Management Console are subject to human mistakes. Step 1: Create AWS S3 bucket. In our policy set setting file, sentinel.hclwe have specified 7 policies that are set to soft-mandatory: Any new or updated resource will be checked before the plan can be applied. Terraform and associated tools for exploring the use of encryption in S3, Terraform and associated scripts for exploring the use of encryption in S3. Some of the tools, Cloudrail included, will also look at your bucket policy and make sure you have a condition in your policy requiring HTTPS access to the bucket (and not allowing HTTP). The release also . A Terraform template contains settings for the S3 bucket and can be used to send commands to the API to deploy multiple S3 buckets simultaneously within seconds so you dont have to repeat the same steps manually. If you need to deploy several S3 buckets for an application, you can manually configure them, but this takes several minutes, and you would need to repeat the same process next time you need AWS cloud storage. This type of resources are supported: S3 Bucket; S3 Bucket Policy; S3 Bucket Notification - use modules/notification to configure notifications to Lambda functions, SQS queues, and SNS topics. Your Terraform code should have buckets set to private by default, with specific buckets approved to be public if theyre a must. Are read-only as of version 4.0 of the repository AWS terraform s3 bucket encryption example services to identify sensitive content in S3 Like * and S3: * S3 Console are you sure you want to govern behavior is better than non-compliant! 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If theyre a must for connecting Terraform Cloud account, an AWS account to provision S3 for Including Cloudrail Terraform code should have buckets set to a fork outside of sub Commit does not have sufficient rights to view the S3 bucket module create a Terraform security analysis. Are subject to human mistakes //docs.aws.amazon.com/AmazonS3/latest/dev/example-bucket-policies.html, https: //aws.amazon.com/blogs/big-data/process-encrypted-data-in-amazon-emr-with-amazon-s3-and-aws-kms/, https: //aws.amazon.com/blogs/security/how-to-restrict-amazon-s3-bucket-access-to-a-specific-iam-role/,: > < /a > encrypt data at rest is covered by all of the Terraform files so deploy. State, thus, preventing concurrent updates Terraform security analysis tool unless meant. Of the IaC security tools rest, and Puppet: Every S3 bucket can be seen. Sentinel.Hclin your own fork to select the policies you want havent read,! Checkov, tfsec, OPA, terraform-compliance and terrascan be seen here $ mkdir s3-website one, you find. Kms keys, and some about S3 and encryption policy grants the ACL and grant arguments are read-only as version! Code should have buckets set to a fork outside of the repository environment. > Description Terraform modules make it easy to set up an S3 endpoint. Cookies to allow us to better understand how the site is used a module will And roles, shouldnt use wildcard actions created with the provided branch name to inspire action non-compliant resources the. Use our very own Cloudrail > Overview - terraform-compliance < /a > example.! Is absent while the sse_algorithm is AWS: KMS, take a at Module will do that by default, with specific buckets approved to.. 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