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This can for example be used as part of a CI/CD pipeline in order to verify that the terraform file won’t create any resource with some urgent policy violation. This way customers can prevent the deployment of a cloud resource can be prevented to be deployed in production.
The feature was deployed on 2021/05/26. At that time we are only checking for urgent policy violations in S3 buckets. Alban (Unlicensed) Thomas Sileo and Marc Tranzer (Unlicensed) will have to prioritize what potential terraform issues should be checked first.
See https://www.terraform.io/docs/language/index.html for an explanation on terraform Terraform files.
Running a terraform scan
Data Theorem’s API can be used to run a terraform scan against a specific terraform configuration file
Retrieve an API Key that has the permission “API Security Results API” enabled; API keys are available in the Data Theorem portal at
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A terraform file scan can then be run using the following CURL command:
Code Block curl -X POST 'https://api.securetheorem.com/apis/devops/v1/iac_scans' \ --header 'Content-Type: multipart/form-data' \ --header 'Authorization: APIKey ABCACBA=' \ --form 'file=@"terraform_example_configuration:file.tf"' \ --form 'scan_type="TERRAFORM"'
3. Check the output for any issues in the files.
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Code Block |
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export terraform_issues_count=$(curl -X POST 'https://api.securetheorem.com/apis/devops/v1/iac_scans' \ --header 'Content-Type: multipart/form-data' \ --header 'Authorization: APIKey ABCACBA=' \ --form 'file=@"terraform_example_configuration:file.tf"' \ --form 'scan_type="TERRAFORM"'| jq -r ".issues_count") // Then deploy your file only if terraform_issues_count is equal to 0 |
Use Public API to see all recent IAC scans
TODO: Alban (Unlicensed) Spencer James (Unlicensed) We should design a portal page to see recent IAC Scans results
Code Block |
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curl -X POST 'https:///prod-horizon.appspot.com//public/v2/iac_scans' \ --header 'Authorization: Session ABCACBA=' \ response: class IacScansResponse(BasePaginatedResponse): iac_scans: List[IacScanSummaryField] class IacScanSummaryField: id: UUID date_created: datetime status: IacScanStatusEnum scan_type: IacScanTypeEnum scanned_files_name: List[str] issue_count: intif [ $TERRAFORM_ISSUES_COUNT == 0 ]; then echo "Deploying file: terraform_example_configuration" else exit 1 |
Integrating into a CI/CD pipeline
GitHub Actions
For terraform files hosted on GitHub, a GitHub Actions workflow can be configured. The workflow will perform terraform scans every time the repository is tagged with a new version.
To setup this workflow:
Create a new secret containing your API key (called
DATATHEOREM_API_RESULT_API_KEY
in the below example).Create a new workflow by creating a file at
.github/workflows/datatheorem.yaml
with the following content:
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name: Data Theorem Terraform Scans on: push: tags: - '*' jobs: datatheorem-terraform-scan: runs-on: ubuntu-latest steps: - env: DATATHEOREM_WEB_SECURE_SCANS_API_KEY: ${{ secrets.DATATHEOREM_API_RESULT_API_KEY }} run: | curl -X POST 'https://api.securetheorem.com/apis/devops/v1/iac_scans' \ --header 'Content-Type: multipart/form-data' \ --header 'Authorization: APIKey $DATATHEOREM_API_RESULT_API_KEY' \ --form 'file=@"terraform_example_configuration:file.tf"' \ --form 'scan_type="TERRAFORM"' |
Bitbucket Pipelines
For terraform files hosted on Bitbucket, a similar workflow can be configured in Bitbucket Pipelines:
Create a new secure “Repository variables” in Pipelines configuration (from the repository setting).
Create a Pipeline by creating a
.bitbucket-pipelines.yml
within your repository with the following content:
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pipelines: tags: '*': - step: script: - apt-get update - apt-get install -y jq script: - export FILEPATH="$BITBUCKET_CLONE_DIR/my_terraform_file.tf" - if [ -f "$FILEPATH" ]; then echo "File exists" ; else exit 1; fi - | export TERRAFORM_DATA_THEOREM_RESPONSE=$(curl -X POST 'https://api.securetheorem.com/apis/devops/v1/iac_scans' \ --header 'Content-Type: multipart/form-data' \ --header '"Authorization: APIKey $DATATHEOREM_APITERRAFORM_RESULT_API_KEY'" \ --form 'file=@"terraform_example_configuration:file.tf'"$FILEPATH"'"' \ --form 'scan_type="TERRAFORM"') export TERRAFORM_ISSUES_COUNT=$(echo $TERRAFORM_DATA_THEOREM_RESPONSE | tr '\r\n' ' ' | jq -r ".issues_count") export MARKDOWN_RESULT=$(echo $TERRAFORM_DATA_THEOREM_RESPONSE | tr '\r\n' ' ' | jq -r ".result_as_markdown") if [ $TERRAFORM_ISSUES_COUNT == 0 ]; then echo "Deploying file: terraform_example_configuration" else echo "Terraform file contains $TERRAFORM_ISSUES_COUNT issues, abort deployment..." echo "Terraform file issues report: $MARKDOWN_RESULT" exit 1 fi |