Software Composition Analysis and GitHub Actions

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Run a Datadog Software Composition Analysis job in your GitHub Action workflows. This action invokes Datadog osv-scanner on your codebase and uploads the results into Datadog.

Library Inventory Generation

The GitHub Action generates an inventory of libraries automatically based on the libraries that are declared in your repository.

The GitHub Action works for the following languages and following files:

  • JavaScript/TypeScript: package-lock.json and yarn.lock
  • Python: requirements.txt (with version defined) and poetry.lock
  • Java: pom.xml
  • C#
  • Ruby
  • … and more languages (listed in the documentation)

Setup

Set up keys

Add DD_APP_KEY and DD_API_KEY as secrets in your GitHub Actions Settings. Please ensure your Datadog application key has the code_analysis_read scope. For more information, see API and Application Keys.

Workflow

Add the following code snippet in .github/workflows/datadog-sca.yml. Make sure to replace the dd_site attribute with the Datadog site you are using.

on: [push]

name: Datadog Software Composition Analysis

jobs:
  software-composition-analysis:
    runs-on: ubuntu-latest
    name: Datadog SBOM Generation and Upload
    steps:
    - name: Checkout
      uses: actions/checkout@v3
    - name: Check imported libraries are secure and compliant
      id: datadog-software-composition-analysis
      uses: DataDog/datadog-sca-github-action@main
      with:
        dd_api_key: ${{ secrets.DD_API_KEY }}
        dd_app_key: ${{ secrets.DD_APP_KEY }}
        dd_site: "datadoghq.com"

Datadog Static Analysis analyzes your code and provides feedback in your IDE, GitHub PR or within the Datadog environment. Datadog Static Analysis can be set up using the datadog-static-analyzer-github-action GitHub action.

Further Reading

Additional helpful documentation, links, and articles: