Cloud Computing, DevOps

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Terraform Security Practices and Integration with Hashicorp Vault

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Introduction

Terraform has become an indispensable tool for automating infrastructure provisioning in today’s dynamic cloud environment. However, with great skills comes great responsibility, especially in security practices. In this blog post, we’ll explore essential security practices for Terraform deployments to ensure the safety of your infrastructure and sensitive data.

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Leveraging Terraform's Sensitive Attribute

Terraform provides a sensitive attribute that can be applied to variables and outputs. By marking certain variables as sensitive, Terraform ensures that their values are not displayed in the console output or stored in the state file. This is crucial for protecting sensitive information such as passwords, access keys, or tokens from being exposed unintentionally.

Terraform

Terraform

Remote Backend

Using a remote backend to store Terraform state files is recommended for improved security and collaboration. Remote backends like Amazon S3, Azure Blob Storage, or HashiCorp Terraform Cloud offer features such as encryption, access control, and versioning, which enhance the overall security posture of your infrastructure.

Example configuration for using an S3 backend:

Terraform

Environment Variables

Avoid hardcoding sensitive information directly into Terraform configuration files. Instead, leverage environment variables to pass sensitive data securely. This practice enhances security and promotes portability and flexibility across different environments.

Example:

Store Sensitive Data in a Secret Management System

HashiCorp Vault: HashiCorp Vault is a powerful tool that integrates seamlessly with Terraform for managing secrets and sensitive data. Vault provides robust encryption, access control, and dynamic secrets management capabilities, ensuring that sensitive information is stored securely and accessed only by authorized entities.

Step-by-step guide to setting up the Hashicorp vault server with integration:

First, Create an AWS EC2 instance with Ubuntu, you have two primary options: through the AWS Management Console or via the AWS CLI. Once you are ready with a EC2 server with ubuntu OS you can start installing hashicorp vault on the same

Now, to install Vault on the EC2 instance, follow these steps:

  • Install gpg using command : sudo apt update && sudo apt install gpg.
  • Download the signing key: wget -O- https://apt.releases.hashicorp.com/gpg | sudo gpg –dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg.
  • Verify the key’s fingerprint: gpg –no-default-keyring –keyring /usr/share/keyrings/hashicorp-archive-keyring.gpg –fingerprint.
  • Add HashiCorp repo:
  • echo “deb [arch=$(dpkg –print-architecture) signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main” | sudo tee /etc/apt/sources.list.d/hashicorp.list
  • Update package list: sudo apt update.
  • Install Vault: sudo apt install vault.

To start Vault:

  • Run Vault server: vault server -dev -dev-listen-address=”0.0.0.0:8200″.

For configuring Terraform to read secrets from Vault:

  • To Enable AppRole: vault auth enable approle.
  • Enable secret engineTerraform
  • Create Secret Terraform
  • Create an AppRoleTerraform
  • After creating the AppRole in Vault, you must generate a pair consisting of a Role ID and a Secret ID. The Role ID acts as a static identifier, whereas the Secret ID serves as a dynamic credential.
  • To generate the Role ID, you can utilize the Vault CLI:

vault read auth/approle/role/my-approle/role-id

  • Make sure to retain the Role ID for integration into your Terraform configuration.
  • For generating the Secret ID, you can execute the following command:

vault write -f auth/approle/role/my-approle/secret-id

This command generates a new Secret ID for the specified AppRole. Ensure that the Secret ID is securely managed as it provides temporary access to resources associated with the AppRole.

Integrate the same with your vault.tf configuration

Terraform

Conclusion

Securing Terraform deployments is paramount to safeguarding your infrastructure and sensitive data. By implementing the best practices outlined above, you can mitigate risks, prevent unauthorized access, and maintain compliance with security standards. Remember, security is not a one-time task but an ongoing process that requires diligence and proactive measures. Stay vigilant, stay secure!

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FAQs

1. What are the mechanisms for logging in to Terraform Vault UI?

ANS: – We have multiple login mechanisms like Github, root token, LDAP, OIDC, Active Directory etc.

2. Do we need to enable remote state locking for better security?

ANS: – Yes, we can configure a remote No-SQL database such as Dynamo DB for state locking to prevent any cross-user API faults and corrupting the state.

3. Should we save terraform.tfvars in a remote VCS?

ANS: – As a best practice, we should ignore adding terraform.tfvars in a remote VCS to avoid any type of sensitive information/variable being exposed to public or other teams

WRITTEN BY Akshay Mishra

Akshay Mishra works as a Subject Matter Expert at CloudThat. He is a Cloud Infrastructure & DevOps Expert and AWS Certified. Akshay is experienced in designing, securing, and managing scalable cloud infrastructure on AWS. Proven track record working with government, pharmaceutical, and financial clients in roles such as Cloud Engineer, Associate Solutions Architect, and DevOps Engineer. He is skilled in AWS infrastructure, CI/CD, Terraform, and cloud security, with certification in AWS Security – Specialty.

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