Integrate Docker Scout with Microsoft Azure DevOps Pipelines
The following examples runs in an Azure DevOps-connected repository containing a Docker image's definition and contents. Triggered by a commit to the main branch, the pipeline builds the image and uses Docker Scout to create a CVE report.
First, set up the rest of the workflow and set up the variables available to all pipeline steps. Add the following to an azure-pipelines.yml file:
trigger:
- main
resources:
- repo: self
variables:
tag: "$(Build.BuildId)"
image: "vonwig/nodejs-service"
This sets up the workflow to use a particular container image for the application and tag each new image build with the build ID.
Add the following to the YAML file:
stages:
- stage: Build
displayName: Build image
jobs:
- job: Build
displayName: Build
pool:
vmImage: ubuntu-latest
steps:
- task: Docker@2
displayName: Build an image
inputs:
command: build
dockerfile: "$(Build.SourcesDirectory)/Dockerfile"
repository: $(image)
tags: |
$(tag)
- task: CmdLine@2
displayName: Find CVEs on image
inputs:
script: |
# Install the Docker Scout CLI
curl -sSfL https://raw.githubusercontent.com/docker/scout-cli/main/install.sh | sh -s --
# Login to Docker Hub required for Docker Scout CLI
echo $(DOCKER_HUB_PAT) | docker login -u $(DOCKER_HUB_USER) --password-stdin
# Get a CVE report for the built image and fail the pipeline when critical or high CVEs are detected
docker scout cves $(image):$(tag) --exit-code --only-severity critical,high
This creates the flow mentioned previously. It builds and tags the image using
the checked-out Dockerfile, downloads the Docker Scout CLI, and then runs the
cves
command against the new tag to generate a CVE report. It only shows
critical or high-severity vulnerabilities.