Orochi - The Volatility Collaborative GUI

• Orochi
  • Table of Contents
  • About Orochi
  • Fastest way to try Orochi
  • Orochi architecture
  • Getting started
    • Installation
    • Quick Start Guide
    • User guide
    • Admin guide
    • API guide
    • Deploy to Swarm
  • Community
  • Contributing
  • Origin of name

Orochi is an open source framework for collaborative forensic memory dump analysis. Using Orochi you and your collaborators can easily organize your memory dumps and analyze them all at the same time.

For people who prefer to install and try first and then read the guide:

git clone https://github.com/LDO-CERT/orochi.git
cd orochi
sudo docker-compose pull
sudo docker-compose up

Browse http://127.0.0.1:8000 and access with admin//admin

• uses Volatility 3: the world’s most widely used framework for extracting digital artifacts from volatile memory (RAM) samples.
• distributes loads among nodes using Dask
• uses Django as frontend
• uses Postgresql to save users, analysis metadata such status and errors.
• uses Mailpit to manage the users registration emails
• uses Redis for cache and websocket for notifications
• all framework is provided as docker-compose images

Using Docker-compose you can start multiple dockers and link them together.

• Start cloning the repo and enter in the folder:

git clone https://github.com/LDO-CERT/orochi.git
cd orochi

In case you are running docker on Windows you can do wsl -d docker-desktop sysctl -w vm.max_map_count=262144 from PowerShell.

• You need to set some useful variables that docker-compose will use for configure the environment

  Here is a sample of .env\.local\.postgres:

  POSTGRES_HOST=postgres
  POSTGRES_PORT=5432
  POSTGRES_DB=orochi
  POSTGRES_USER=debug
  POSTGRES_PASSWORD=debug
  

  Here is a sample of .env\.local\.django:

  USE_DOCKER=yes
  IPYTHONDIR=/app/.ipython
  REDIS_URL=redis://redis:6379/0
  DASK_SCHEDULER_URL=tcp://scheduler:8786
  

  By default ALLOWED_HOSTS config permits access from everywhere. If needed you can change it from .envs\.local\.django

• If needed you can increase or decrease Dask workers to be started. In order to do this you have to update the docker-compose.yml file changing the number of replicas in the deploy section of worker service.

• You can pull images with command:

docker-compose pull

• Or build images with command:

docker-compose build

• Now it's time to fire up the images!

docker-compose up

• When finished - it takes a while - you can check the status of images:

docker ps -a

CONTAINER ID   IMAGE                                COMMAND                  CREATED        STATUS                 PORTS                                                                                            NAMES
fdc1fa46c0d8   ghcr.io/ldo-cert/orochi_nginx:new    "/docker-entrypoint.…"   21 hours ago   Up 4 hours             0.0.0.0:80->80/tcp, :::80->80/tcp, 0.0.0.0:443->443/tcp, :::443->443/tcp                         orochi_nginx
db5b7f50ee5b   ghcr.io/ldo-cert/orochi_worker:new   "tini -g -- /usr/bin…"   21 hours ago   Up 4 hours                                                                                                              orochi-worker-1
5f334d521d04   ghcr.io/ldo-cert/orochi_worker:new   "tini -g -- /usr/bin…"   21 hours ago   Up 4 hours                                                                                                              orochi-worker-2
3768f5fa73d3   ghcr.io/ldo-cert/orochi_django:new   "/entrypoint /start"     21 hours ago   Up 4 hours             8000/tcp                                                                                         orochi_django_wsgi
a3f79c5281cc   ghcr.io/ldo-cert/orochi_django:new   "/entrypoint daphne …"   21 hours ago   Up 4 hours             9000/tcp                                                                                         orochi_django_asgi
6bb5d6107029   ghcr.io/ldo-cert/orochi_worker:new   "tini -g -- /usr/bin…"   21 hours ago   Up 4 hours             0.0.0.0:8786-8787->8786-8787/tcp, :::8786-8787->8786-8787/tcp                                    orochi_scheduler
636c41f3fe9b   postgres:16.3                        "docker-entrypoint.s…"   22 hours ago   Up 4 hours             0.0.0.0:5432->5432/tcp, :::5432->5432/tcp                                                        orochi_postgres
6d8d337667ad   redis:7.4.0                          "docker-entrypoint.s…"   22 hours ago   Up 4 hours             0.0.0.0:6379->6379/tcp, :::6379->6379/tcp                                                        orochi_redis
596be665ef37   axllent/mailpit:latest               "/mailpit"               22 hours ago   Up 4 hours (healthy)   0.0.0.0:1025->1025/tcp, :::1025->1025/tcp, 0.0.0.0:8025->8025/tcp, :::8025->8025/tcp, 1110/tcp   orochi_mailpit

 ```

• Now some management commands in case you are upgrading:

   docker-compose run --rm django python manage.py makemigrations
   docker-compose run --rm django python manage.py migrate
   docker-compose run --rm django python manage.py collectstatic
  

• Sync Volatility plugins (*) in order to make them available to users:

  docker-compose run --rm django python manage.py plugins_sync
  

• Volatility Symbol Tables are available here and can be sync using this command (*):

  docker-compose run --rm django python manage.py symbols_sync
  

(*) It is also possible to run plugins_sync and symbols_sync directly from the admin page in case new plugins or new symbols are available.

• To create a normal user account, just go to Sign Up (http://127.0.0.1:8000) and fill out the form. Once you submit it, you'll see a "Verify Your E-mail Address" page. Go to your console to see a simulated email verification message. Copy the link into your browser. Now the user's email should be verified and ready to go. In development, it is often nice to be able to see emails that are being sent from your application. For that reason local SMTP server Mailpit with a web interface is available as docker container. Container mailpit will start automatically when you will run all docker containers. Please check cookiecutter-django Docker documentation for more details how to start all containers. With Mailpit running, to view messages that are sent by your application, open your browser and go to http://127.0.0.1:8025

• Other details in cookiecutter-django Docker documentation

• register your user
• login with your user and password
• upload a memory dump and choose a name, the OS and the color: in order to speed up the upload it accepts also zipped files.
• When the upload is completed, all enabled Volatility plugins will be executed in parallel thanks to Dask. With Dask it is possible to distribute jobs among different servers.
• You can configure which plugin you want run by default through admin page.
• As the results come, they will be shown.
• Is it possible to view the results of a plugin executed on multiple dumps, for example view simultaneously processes list output of 2 different machines.

Applications links:

• Orochi homepage: http://127.0.0.1:8000
• Orochi admin: http://127.0.0.1:8000/admin
• Mailpit: http://127.0.0.1:8025
• Dask: http://127.0.0.1:8787

Please see Users-Guide

Please see Admin-Guide

Please see API-Guide

Please see Deploy-to-Swarm

We are available on Gitter to help you and discuss about improvements.

If you want to contribute to orochi, be sure to review the contributing guidelines. This project adheres to orochi code of conduct. By participating, you are expected to uphold this code.

"Its eyes are like akakagachi, it has one body with eight heads and eight tails. Moreover on its body grows moss, and also chamaecyparis and cryptomerias. Its length extends over eight valleys and eight hills, and if one look at its belly, it is all constantly bloody and inflamed." Full story from wikipedia

Let's go cut tails and find your Kusanagi-no-Tsurugi!