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5 changes: 5 additions & 0 deletions dictionary.txt
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async
aws
backend
checkov
codebase
composable
config
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priviledge
APIS
TLS
HIPAA
PCI-DSS
SRE
ACM
nav
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KMS
deployable
VMs
json
KMS
CDN
subdirectories
AzureTF
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143 changes: 143 additions & 0 deletions docs/guides/terraform/checkov.mdx
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---
description: Use checkov for static analysis of a Nitric project deployed with Terraform
tags:
- Terraform
- Testing
published_at: 2025-04-15
---

# Static analysis of Terraform with Checkov

This guide will walk you through generating a report with [Checkov](https://www.checkov.io/) from a Nitric project.

## What is Checkov?

Checkov is a static code analysis tool for scanning infrastructure as code (IaC) files for misconfigurations. Checkov provides several key benefits for your projects:

- **Security Scanning**: Automatically detects misconfigurations and security vulnerabilities in your infrastructure code before deployment
- **Compliance**: Helps ensure your infrastructure meets compliance requirements like HIPAA and PCI-DSS
- **Best Practices**: Enforces infrastructure best practices and coding standards
- **Early Detection**: Catches potential issues during development rather than after deployment
- **Custom Rules**: Allows you to create custom rules specific to your organization's requirements

## Prerequisites

Before you begin, ensure you have:

- [AWS CLI](https://aws.amazon.com/cli/) installed and configured
- [Terraform CLI](https://terraform.io/downloads.html) installed
- [Node.js](https://nodejs.org/) and npm installed
- [Nitric CLI](/get-started/installation) installed
- [Checkov](https://checkov.io/2.Basics/Installing%20Checkov.html) installed

## What we'll be doing

1. Creating and setting up your application.
2. Generating a Terraform plan with a Nitric Terraform provider.
3. Running Checkov.

## Create and set up your application

Checkov can be used with any Nitric project that you intend to deploy with Terraform. We'll be using a basic starter template in this guide, however, you can use your own Nitric project or an [example project](https://github.com/nitrictech/examples).

Let's start by creating a new project from a Nitric template, this will provide a base to start building the API.

```bash
nitric new my-profile-api ts-starter
```

Next, open the project in your editor of choice and make sure all dependencies are resolved:

```bash
npm install
```

You can test the project to verify everything is working as expected:

```bash
nitric start
```

## Deploying to AWS with a Terraform provider

To deploy your application with Terraform you'll need to use Nitric's Terraform providers. You can learn more about using Nitric with Terraform [here](/providers/terraform).

```bash
nitric stack new dev aws-tf
```

Update this newly created stack file to include your target region:

```yaml title:nitric.dev.yaml
# The nitric provider to use
provider: nitric/[email protected]

# The target aws region to deploy to
region: us-east-2
```

Once you've created your stack file, you can generate the Terraform code by running the following command:

```bash
nitric up
```

This will generate Terraform code which can deploy your application. The output will be in a folder named `cdktf.out` by default.

## Run checkov

Use the Terraform CLI to generate a terraform plan expressed in a json file and then run Checkov on this file.

```bash
cd cdktf.out/stacks/my-profile-api-dev

terraform init
terraform plan --out tfplan.binary
terraform show -json tfplan.binary | jq > tfplan.json

checkov -f tfplan.json
```

This should produce the `checkov` scan results in the terminal, which should look something like this:

```bash
terraform_plan scan results:

Passed checks: 22, Failed checks: 9, Skipped checks: 0

Check: CKV_AWS_41: "Ensure no hard coded AWS access key and secret key exists in provider"
PASSED for resource: aws.default
File: /tfplan.json:0-1
Guide: https://docs.prismacloud.io/en/enterprise-edition/policy-reference/aws-policies/secrets-policies/bc-aws-secrets-5
Check: CKV_AWS_364: "Ensure that AWS Lambda function permissions delegated to AWS services are limited by SourceArn or SourceAccount"
PASSED for resource: module.api_main.aws_lambda_permission.apigw_lambda["checkov_services-api"]
File: /tfplan.json:0-0
Guide: https://docs.prismacloud.io/en/enterprise-edition/policy-reference/aws-policies/aws-iam-policies/bc-aws-364
Check: CKV_AWS_301: "Ensure that AWS Lambda function is not publicly accessible"
PASSED for resource: module.api_main.aws_lambda_permission.apigw_lambda["checkov_services-api"]
File: /tfplan.json:0-0
Guide: https://docs.prismacloud.io/en/enterprise-edition/policy-reference/aws-policies/aws-general-policies/bc-aws-301
Check: CKV_AWS_136: "Ensure that ECR repositories are encrypted using KMS"
FAILED for resource: module.service_checkov_services-api.aws_ecr_repository.repo
File: /tfplan.json:0-0
Guide: https://docs.prismacloud.io/en/enterprise-edition/policy-reference/aws-policies/aws-general-policies/ensure-that-ecr-repositories-are-encrypted
```

## Analysing the results

Checkov comes with some great default checks, however, they do need to be aligned with the requirements of your application.

For example the Checkov policy `CKV_AWS_136` checks specifically for SSE-KMS using a customer-managed KMS key (or at least AWS-managed KMS key). This finding might not always be relevant because, by default, Amazon ECR encrypts container images at rest using Amazon S3 server-side encryption (SSE-S3). That means your images are always encrypted, even if you don't explicitly configure a KMS key.

A way to handle these false positives is to use [suppress/skip comments](https://www.checkov.io/2.Basics/Suppressing%20and%20Skipping%20Policies.html) in the Terraform code.

```terraform
# checkov:skip=CKV_AWS_136
resource "aws_ecr_repository" "repo" {
name = "my-ecr-repo"
}
```

You could also use custom policies to handle these false positives or create custom rules to better match your infrastructure requirements.

If you have any concerns, please don't hesitate to [reach out](https://nitric.io/chat).
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