...
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
...
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.
...
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:
Code Block |
---|
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 $DATATHEOREM_API_RESULT_API_KEY' \ --form 'file=@"terraform_example_configuration:file.tf"' \ --form 'scan_type="TERRAFORM"' |
...
For terraform files hosted on Bitbucket, a similar workflow can be configured in Bitbucket Pipelines:
Create a new secure “Repository variables” in Pipelines configuration (from the repository setting).
Create a Pipeline by creating a
.bitbucket-pipelines.yml
within your repository with the following content:
Code Block | ||
---|---|---|
| ||
pipelines: tags: '*': - step: script: - apt-get update - apt-get install -y jq - export FILEPATH="$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 $TERRAFORM$DATATHEOREM_TERRAFORM_API_KEY" \ --form 'file=@"'"$FILEPATH"'"' \ --form 'scan_type="TERRAFORM"') export TERRAFORM_ISSUES_COUNT=$(echo $DATATHEOREM$TERRAFORM_APIDATA_RESULTTHEOREM_API_KEYRESPONSE | 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 |
...