Note: Docker Scout is a new product and is free while in early access. Read more about Docker Scout.
Docker Scout is a set of software supply chain features integrated into Docker's user interfaces and command line interface (CLI). These features offer comprehensive visibility into the structure and security of container images.
This repository contains installable binaries of the docker scout
CLI plugin.
The CLI documentation is available in this repository.
See the reference documentation to learn about Docker Scout including Docker Desktop and Docker Hub integrations.
docker scout
CLI plugin is available by default on Docker Desktop starting with version 4.17
.
To install, run the following command in your terminal:
curl -sSfL https://raw.githubusercontent.com/docker/scout-cli/main/install.sh | sh -s --
To install it manually:
- Download the
docker-scout
binary corresponding to your platform from the latest or other releases. - Uncompress it as
docker-scout
on Linux and macOSdocker-scout.exe
on Windows
- Copy it in your local CLI plugin directory
$HOME/.docker/cli-plugins
on Linux and macOS%USERPROFILE%\.docker\cli-plugins
on Windows
- Make it executable on Linux and macOS
chmod +x $HOME/.docker/cli-plugins/docker-scout
- Authorize the binary to be executable on macOS
xattr -d com.apple.quarantine $HOME/.docker/cli-plugins/docker-scout
A container image to run the Docker Scout CLI in containerized environments is available at docker/scout-cli.
Docker Scout CLI can be used in CI environments. See below for the various ways to integrate the CLI into your CI pipelines.
An early prototype of running the Docker Scout CLI as part of a GitHub Action workflow is available at docker/scout-action.
The following GitHub Action workflow can be used as a template to integrate Docker Scout:
name: Docker
on:
push:
tags: [ "*" ]
branches:
- 'main'
pull_request:
branches: [ "**" ]
env:
# Use docker.io for Docker Hub if empty
REGISTRY: docker.io
IMAGE_NAME: ${{ github.repository }}
SHA: ${{ github.event.pull_request.head.sha || github.event.after }}
jobs:
build:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- name: Checkout repository
uses: actions/checkout@v3
with:
ref: ${{ env.SHA }}
- name: Setup Docker buildx
uses: docker/[email protected]
# Login against a Docker registry except on PR
# https://github.com/docker/login-action
- name: Log into registry ${{ env.REGISTRY }}
uses: docker/[email protected]
with:
registry: ${{ env.REGISTRY }}
username: ${{ secrets.DOCKER_USER }}
password: ${{ secrets.DOCKER_PAT }}
# Extract metadata (tags, labels) for Docker
# https://github.com/docker/metadata-action
- name: Extract Docker metadata
id: meta
uses: docker/[email protected]
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
labels: |
org.opencontainers.image.revision=${{ env.SHA }}
tags: |
type=edge,branch=$repo.default_branch
type=semver,pattern=v{{version}}
type=sha,prefix=,suffix=,format=short
# Build and push Docker image with Buildx (don't push on PR)
# https://github.com/docker/build-push-action
- name: Build and push Docker image
id: build-and-push
uses: docker/[email protected]
with:
context: .
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Docker Scout
id: docker-scout
if: ${{ github.event_name == 'pull_request' }}
uses: docker/scout-action@dd36f5b0295baffa006aa6623371f226cc03e506
with:
command: cves
image: ${{ steps.meta.outputs.tags }}
only-severities: critical,high
exit-code: true
Use the following pipeline definition as a template to get Docker Scout integrated in Gitlab CI:
docker-build:
image: docker:latest
stage: build
services:
- docker:dind
before_script:
- docker login -u "$CI_REGISTRY_USER" -p "$CI_REGISTRY_PASSWORD" $CI_REGISTRY
# Install curl and the Docker Scout CLI
- |
apk add --update curl
curl -sSfL https://raw.githubusercontent.com/docker/scout-cli/main/install.sh | sh -s --
apk del curl
rm -rf /var/cache/apk/*
# Login to Docker Hub required for Docker Scout CLI
- docker login -u "$DOCKER_HUB_USER" -p "$DOCKER_HUB_PAT"
script:
- |
if [[ "$CI_COMMIT_BRANCH" == "$CI_DEFAULT_BRANCH" ]]; then
tag=""
echo "Running on default branch '$CI_DEFAULT_BRANCH': tag = 'latest'"
else
tag=":$CI_COMMIT_REF_SLUG"
echo "Running on branch '$CI_COMMIT_BRANCH': tag = $tag"
fi
- docker build --pull -t "$CI_REGISTRY_IMAGE${tag}" .
- |
if [[ "$CI_COMMIT_BRANCH" == "$CI_DEFAULT_BRANCH" ]]; then
# Get a CVE report for the built image and fail the pipeline when critical or high CVEs are detected
docker scout cves "$CI_REGISTRY_IMAGE${tag}" --exit-code --only-severity critical,high
else
# Compare image from branch with latest image from the default branch and fail if new critical or high CVEs are detected
docker scout compare "$CI_REGISTRY_IMAGE${tag}" --to "$CI_REGISTRY_IMAGE:latest" --exit-code --only-severity critical,high --ignore-unchanged
fi
- docker push "$CI_REGISTRY_IMAGE${tag}"
rules:
- if: $CI_COMMIT_BRANCH
exists:
- Dockerfile
Use the following pipeline definition as a template to get Docker Scout integrated in CircleCI project:
version: 2.1
jobs:
build:
docker:
- image: cimg/base:stable
environment:
IMAGE_TAG: docker/scout-demo-service:latest
steps:
# Checkout the repository files
- checkout
# Set up a separate Docker environment to run `docker` commands in
- setup_remote_docker:
version: 20.10.24
# Install Docker Scout and login to Docker Hub
- run:
name: Install Docker Scout
command: |
env
curl -sSfL https://raw.githubusercontent.com/docker/scout-cli/main/install.sh | sh -s -- -b /home/circleci/bin
echo $DOCKER_HUB_PAT | docker login -u $DOCKER_HUB_USER --password-stdin
# Build the Docker image
- run:
name: Build Docker image
command: docker build -t $IMAGE_TAG .
# Run Docker Scout
- run:
name: Scan image for CVEs
command: |
docker-scout cves $IMAGE_TAG --exit-code --only-severity critical,high
workflows:
build-docker-image:
jobs:
- build
Use the following pipeline definition as a template to get Docker Scout integrated in Azure DevOps Pipelines:
trigger:
- main
resources:
- repo: self
variables:
tag: '$(Build.BuildId)'
image: 'vonwig/nodejs-service'
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
docker login -u $(DOCKER_HUB_USER) -p $(DOCKER_HUB_PAT)
# 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
The following snippet can be added to a Jenkinsfile
to install and analyze images:
stage('Analyze image') {
steps {
// Install Docker Scout
sh 'curl -sSfL https://raw.githubusercontent.com/docker/scout-cli/main/install.sh | sh -s -- -b /usr/local/bin'
// Log into Docker Hub
sh 'echo $DOCKER_HUB_PAT | docker login -u $DOCKER_HUB_USER --password-stdin'
// Analyze and fail on critical or high vulnerabilities
sh 'docker-scout cves $IMAGE_TAG --exit-code --only-serverity critical,high'
}
}
This example assume two secrets to be available to authenticate against Docker Hub, called DOCKER_HUB_USER
and DOCKER_HUB_PAT
.
The Docker Scout CLI is licensed under the Terms and Conditions of the Docker Subscription Service Agreement.