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Quick Start.md

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Quick Start
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Quick Start

This Quick Start guide shows how to install Checkov, run a scan, and analyze the results. For more advanced configuration, see the CLI Reference and the rest of this documentation.

Install Checkov from PyPI

pip install checkov

Select input folder and scan

Use the command below to indicate the folder that contains your Terraform plan files and run a scan.

checkov -d /user/tf

Example

S3 Bucket configuration (compliant)

Consider the configuration of an S3 bucket as represented in the Terraform sample below.

resource "aws_s3_bucket" "foo-bucket" {
  region        = var.region
  bucket        = local.bucket_name
  force_destroy = true

  tags = {
    Name = "foo-${data.aws_caller_identity.current.account_id}"
  }
  versioning {
    enabled = true
  }
  logging {
    target_bucket = "${aws_s3_bucket.log_bucket.id}"
    target_prefix = "log/"
  }
  server_side_encryption_configuration {
    rule {
      apply_server_side_encryption_by_default {
        kms_master_key_id = "${aws_kms_key.mykey.arn}"
        sse_algorithm     = "aws:kms"
      }
    }
  }
  acl           = "private"
}

Scan output for compliant S3 Bucket configuration

The scan output would be:

Passed checks: 4, Failed checks: 0, Skipped checks: 0

Check: "Ensure all data stored in the S3 bucket is securely encrypted at rest"
 PASSED for resource: aws_s3_bucket.foo-bucket
 File: /example.tf:1-25


Check: "Ensure the S3 bucket has access logging enabled"
 PASSED for resource: aws_s3_bucket.foo-bucket
 File: /example.tf:1-25


Check: "Ensure all data stored in the S3 bucket have versioning enabled"
 PASSED for resource: aws_s3_bucket.foo-bucket
 File: /example.tf:1-25


Check: "S3 Bucket has an ACL defined which allows public access."
 PASSED for resource: aws_s3_bucket.foo-bucket
 File: /example.tf:1-25

The configuration complies with the policies for AWS S3 resources.

S3 Bucket configuration (non-compliant)

Suppose that now the same bucket is configured to allow public access:

resource "aws_s3_bucket" "foo-bucket" {
#same resource configuration as previous example, but acl set for public access.
  
  acl           = "public-read"
}
data "aws_caller_identity" "current" {}

Scan output for non-compliant S3 Bucket Configuration

The output report would then contain a failed check:

Passed checks: 3, Failed checks: 1, Skipped checks: 0

Check: "Ensure all data stored in the S3 bucket is securely encrypted at rest"
 PASSED for resource: aws_s3_bucket.foo-bucket
 File: /example.tf:1-25


Check: "Ensure the S3 bucket has access logging enabled"
 PASSED for resource: aws_s3_bucket.foo-bucket
 File: /example.tf:1-25


Check: "Ensure all data stored in the S3 bucket have versioning enabled"
 PASSED for resource: aws_s3_bucket.foo-bucket
 File: /example.tf:1-25


Check: "S3 Bucket has an ACL defined which allows public access."
 FAILED for resource: aws_s3_bucket.foo-bucket
 File: /example.tf:1-25

  1 | resource "aws_s3_bucket" "foo-bucket" {
  2 |   region        = var.region
  3 |   bucket        = local.bucket_name
  4 |   force_destroy = true
  5 |
  6 |   tags = {
  7 |     Name = "foo-${data.aws_caller_identity.current.account_id}"
  8 |   }
  9 |   versioning {
  10 |     enabled = true
  11 |   }
  12 |   logging {
  13 |     target_bucket = "${aws_s3_bucket.log_bucket.id}"
  14 |     target_prefix = "log/"
  15 |   }
  16 |   server_side_encryption_configuration {
  17 |     rule {
  18 |       apply_server_side_encryption_by_default {
  19 |         kms_master_key_id = "${aws_kms_key.mykey.arn}"
  20 |         sse_algorithm     = "aws:kms"
  21 |       }
  22 |     }
  23 |   }
  24 |   acl           = "public-read"
  25 | }

Visualizing scan output

In addition to the various formats for seeing scan results (for example, CLI), you can also visualize Checkov results with a quick integration with a free Bridgecrew account. Read more about visualizing scan results in the Bridgecrew platform.

Visualizing Scan Output with Bridgecrew

Integrations

In addition to integrating with your code repository, Checkov can also integrate with your automated build pipeline via CI/CD providers. When your build tests run, Checkov will scan your infrastructure as code files for misconfigurations. You can integrate Checkov with:

Add-ons

To get real-time IaC scanning and in-line fixes directly from your IDE, check out the Checkov Visual Studio Code extension and the Checkov JetBrains Plugin.