Running with Docker Compose

Docker compose is not intended for production use. If you want to deploy a containerized DefectDojo to a production environment, use the Default installation approach.

Prerequisites

Docker version
- Installing with docker-compose requires at least docker 18.09.4 and docker-compose 1.24.0. See "Checking Docker versions" below for version errors during running docker-compose.
Proxies
- If you're behind a corporate proxy check https://docs.docker.com/network/proxy/ .

Setup via Docker Compose - introduction

DefectDojo needs several docker images to run. Two of them depend on DefectDojo code:

django service - defectdojo/defectdojo-django image
nginx service - defectdojo/defectdojo-nginx image

The nginx image is build based on the django image.

Before running the application, it's advised to build local images to make sure that you'll be working on images consistent with your current code base. When running the application without building images, the application will run based on:

a previously locally built image if it exists in the docker cache
else the images pulled from dockerhub
- https://hub.docker.com/r/defectdojo/defectdojo-django
- https://hub.docker.com/r/defectdojo/defectdojo-nginx

Setup via Docker Compose - building and running the application

Building images

To build images and put them in your local docker cache, run:

docker-compose build

To build a single image, run:

docker-compose build uwsgi

or

docker-compose build nginx

Run with Docker compose in release mode

To run the application based on previously built image (or based on dockerhub images if none was locally built), run:

docker/setEnv.sh release
docker-compose up

This will run the application based on docker-compose.yml only.

In this setup, you need to rebuild django and/or nginx images after each code change and restart the containers.

Run with Docker compose in development mode with hot-reloading

For development, use:

cp dojo/settings/settings.dist.py dojo/settings/settings.py
docker/setEnv.sh dev
docker-compose up

This will run the application based on merged configurations from docker-compose.yml and docker-compose.override.dev.yml.

Volumes are mounted to synchronize between the host and the containers :
- static resources (nginx container)
- python code (uwsgi and celeryworker containers).
The --py-autoreload 1 parameter in entrypoint-uwsgi-dev.sh will make uwsgi handle python hot-reloading for the uwsgi container.
Hot-reloading for the celeryworker container is not yet implemented. When working on deduplication for example, restart the celeryworker container with:

docker-compose restart celeryworker

The mysql port is forwarded to the host so that you can access your database from outside the container.

To update changes in static resources, served by nginx, just refresh the browser with ctrl + F5.

Notes about volume permissions

The manual copy of settings.py is sometimes required once after cloning the repository, on linux hosts when the host files cannot be modified from within the django container. In that case that copy in entrypoint-uwsgi-dev.sh fails.

Another way to fix this is changing USER 1001 in Dockerfile.django to match your user uid and then rebuild the images. Get your user id with

id -u

Run with Docker compose in development mode with ptvsd (remote debug)

If you want to be able to step in your code, you can activate ptvsd.Server.

You can launch your local dev instance of DefectDojo as

cp dojo/settings/settings.dist.py dojo/settings/settings.py
docker/setEnv.sh ptvsd
docker-compose up

This will run the application based on merged configurations from docker-compose.yml and docker-compose.override.ptvsd.yml.

The default configuration assumes port 3000 by default for ptvsd, and you should access the DefectDojo UI on port 8000 instead of port 8080, as the uwsgi container will serve directly.

VS code

Add the following python debug configuration (You would have to install the ms-python.python. Other setup may work.)

  {
      "name": "Remote DefectDojo",
      "type": "python",
      "request": "attach",
      "pathMappings": [
          {
              "localRoot": "${workspaceFolder}",
              "remoteRoot": "/app"
          }
      ],
      "port": 3000,
      "host": "localhost"
  }

You can now launch the remote debug from VS Code, place your breakpoints and step through the code.

At present, 2 caveats:

Static will not be present. You would have to docker cp them over from the nginx container

For some reason, the page loading may hang. You can stop the loading and reload, the page will ultimately appear.

Access the application

Navigate to http://localhost:8080 where you can log in with username admin. To find out the admin password, check the very beginning of the console output of the initializer container by running:

docker-compose logs initializer | grep "Admin password:"

Make sure you write down the first password generated as you'll need it when re-starting the application.

Exploitation, versioning

Disable the database initialization

The initializer container can be disabled by exporting: export DD_INITIALIZE=false.

This will ensure that the database remains unchanged when re-running the application, keeping your previous settings and admin password.

Versioning

In order to use a specific version when building the images and running the containers, set the environment with

For the nginx image: NGINX_VERSION=x.y.z
For the django image: DJANGO_VERSION=x.y.z

Building will tag the images with "x.y.z", then you can run the application based on a specific tagged images.

Tagged images can be seen with:

$ docker images
REPOSITORY                     TAG                 IMAGE ID            CREATED             SIZE
defectdojo/defectdojo-nginx    1.0.0               bc9c5f7bb4e5        About an hour ago   191MB

This will show on which tagged images the containers are running:

$ docker ps
CONTAINER ID        IMAGE                                 COMMAND                  CREATED             STATUS              PORTS                                NAMES
aedc404d6dee        defectdojo/defectdojo-nginx:1.0.0     "/entrypoint-nginx.sh"   2 minutes ago       Up 2 minutes        80/tcp, 0.0.0.0:8080->8080/tcp       django-defectdojo_nginx_1

Clean up Docker Compose

Removes all containers

docker-compose down

Removes all containers, networks and the database volume

docker-compose down --volumes

Run with docker using https

To secure the application by https, follow those steps

Generate a private key without password
Generate a CSR (Certificate Signing Request)
Have the CSR signed by a certificate authority
Place the private key and the certificate under the nginx folder
Replace nginx/nginx.conf by nginx/nginx_TLS.conf
In nginx.conf, update that part:

        server_name                 your.servername.com;
        ssl_certificate             /yourCertificate.cer;
        ssl_certificate_key         /yourPrivateKey.key;

Protect your private key from other users:

chmod 400 nginx/*.key

Rebuild the nginx image in order to place the private key and the certificate where nginx will find them (under / in the nginx container):

docker build -t defectdojo/defectdojo-nginx -f Dockerfile.nginx .

Run defectDojo with:

rm -f docker-compose.override.yml
ln -s docker-compose.override.https.yml docker-compose.override.yml
docker-compose up

The default https port is 8083.

To change the port:

update nginx.conf
update docker-compose.override.https.yml or set DD_PORT in the environment)
restart the application

NB: some third party software may require to change the exposed port in Dockerfile.nginx as they use docker-compose declarations to discover which ports to map when publishing the application.

Run the unit-tests with docker

Introduction

The unit-tests are under dojo/unittests

Running the unit-tests

This will run all the tests and leave the uwsgi container up:

cp dojo/settings/settings.dist.py dojo/settings/settings.py
docker/setEnv.sh unit_tests
docker-compose up

Enter the container to run more tests:

docker-compose exec uwsgi bash

Rerun all the tests:

python manage.py test dojo.unittests --keepdb

Run all the tests from a python file. Example:

python manage.py test dojo.unittests.test_dependency_check_parser --keepdb

Run a single test. Example:

python manage.py test dojo.unittests.test_dependency_check_parser.TestDependencyCheckParser.test_parse_without_file_has_no_findings --keepdb

Checking Docker versions

Run the following to determine the versions for docker and docker-compose:

$ docker version
Client:
 Version:      17.09.0-ce
 API version:  1.32
 Go version:   go1.8.3
 Git commit:   afdb6d4
 Built:        Tue Sep 26 22:42:45 2017
 OS/Arch:      linux/amd64

Server:
 Version:      17.09.0-ce
 API version:  1.32 (minimum version 1.12)
 Go version:   go1.8.3
 Git commit:   afdb6d4
 Built:        Tue Sep 26 22:41:24 2017
 OS/Arch:      linux/amd64
 Experimental: false

$ docker-compose version
docker-compose version 1.18.0, build 8dd22a9
docker-py version: 2.6.1
CPython version: 2.7.13
OpenSSL version: OpenSSL 1.0.1t  3 May 2016

In this case, both docker (version 17.09.0-ce) and docker-compose (1.18.0) need to be updated.

Follow Dockers' documentation for your OS to get the latest version of Docker. For the docker command, most OSes have a built-in update mechanism like "apt upgrade".

Docker Compose isn't packaged like Docker and you'll need to manually update an existing install if using Linux. For Linux, either follow the instructions in the Docker Compose documentation or use the shell script below. The script below will update docker-compose to the latest version automatically. You will need to make the script executable and have sudo privileges to upgrade docker-compose:

#!/bin/bash

# Set location of docker-compose binary - shouldn't need to modify this
DESTINATION=/usr/local/bin/docker-compose

# Get latest docker-compose version
VERSION=$(curl --silent https://api.github.com/repos/docker/compose/releases/latest | jq .name -r)

# Output some info on what this is going to do
echo "Note: docker-compose version $VERSION will be downloaded from:"
echo "https://github.com/docker/compose/releases/download/${VERSION}/docker-compose-$(uname -s)-$(uname -m)"
echo "Enter sudo password to install docker-compose"

# Download and install latest docker compose
sudo curl -L https://github.com/docker/compose/releases/download/${VERSION}/docker-compose-$(uname -s)-$(uname -m) -o $DESTINATION
sudo chmod +x $DESTINATION

# Output new docker-compose version info
echo ""
docker-compose version

Running the script above will look like:

$ vi update-docker-compose
$ chmod u+x update-docker-compose
$ ./update-docker-compose
Note: docker-compose version 1.24.0 will be downloaded from:
https://github.com/docker/compose/releases/download/1.24.0/docker-compose-Linux-x86_64
Enter sudo password to install docker-compose
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   617    0   617    0     0   1778      0 --:--:-- --:--:-- --:--:--  1778
100 15.4M  100 15.4M    0     0  2478k      0  0:00:06  0:00:06 --:--:-- 2910k

docker-compose version 1.24.0, build 0aa59064
docker-py version: 3.7.2
CPython version: 3.6.8
OpenSSL version: OpenSSL 1.1.0j  20 Nov 2018

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DOCKER.md

DOCKER.md

Running with Docker Compose

Prerequisites

Setup via Docker Compose - introduction

Setup via Docker Compose - building and running the application

Building images

Run with Docker compose in release mode

Run with Docker compose in development mode with hot-reloading

Run with Docker compose in development mode with ptvsd (remote debug)

VS code

Access the application

Exploitation, versioning

Disable the database initialization

Versioning

Clean up Docker Compose

Run with docker using https

Run the unit-tests with docker

Introduction

Running the unit-tests

Checking Docker versions

Files

DOCKER.md

Latest commit

History

DOCKER.md

File metadata and controls

Running with Docker Compose

Prerequisites

Setup via Docker Compose - introduction

Setup via Docker Compose - building and running the application

Building images

Run with Docker compose in release mode

Run with Docker compose in development mode with hot-reloading

Run with Docker compose in development mode with ptvsd (remote debug)

VS code

Access the application

Exploitation, versioning

Disable the database initialization

Versioning

Clean up Docker Compose

Run with docker using https

Run the unit-tests with docker

Introduction

Running the unit-tests

Checking Docker versions