Docker issue - How to spin up several docker containers?

Hi all,

first of all great project and appreciate all the effort and hard work to build the Juice Shop.

I want to use the Juice Shop for an internal CTF and I already got the Juice-Shop running with CTFd. I only have now one problem: How can I easily spin up several docker instances of Juice Shop that all point to a different port, e.g. 3001, 3002 and 3003. So every attendee has it’s own Juice Shop?

If I execute the following command it’s pointing to the same container, just a different port

docker run -d -p 3001:3000 -e "NODE_ENV=ctf" -e "CTF_KEY=XXX" bkimminich/juice-shop

When doing this, I cannot connect to port 3001

docker run -d -p 3001:3001 -e "NODE_ENV=ctf" -e "CTF_KEY=XXX" bkimminich/juice-shop

I was already going through the docker docs but somehow couldn’t find an answer for this.

Thanks

[battletux]

I too ran a CTF, last week in fact. For the setup I made a script that ran the needed number of instances:

#!/bin/bash

docker run -d -p 3000:3000 -e "NODE_ENV=ctf" bkimminich/juice-shop
docker run -d -p 3001:3000 -e "NODE_ENV=ctf" bkimminich/juice-shop
docker run -d -p 3002:3000 -e "NODE_ENV=ctf" bkimminich/juice-shop
docker run -d -p 3003:3000 -e "NODE_ENV=ctf" bkimminich/juice-shop
docker run -d -p 3004:3000 -e "NODE_ENV=ctf" bkimminich/juice-shop
docker run -d -p 3005:3000 -e "NODE_ENV=ctf" bkimminich/juice-shop
docker run -d -p 3006:3000 -e "NODE_ENV=ctf" bkimminich/juice-shop
docker run -d -p 3007:3000 -e "NODE_ENV=ctf" bkimminich/juice-shop

When executed the script spins up 8 separate containers with ports 3000 to 3007 exposed and mapped back to port 3000 on their respective containers:

» ./jshop.sh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~

I just assigned each team/individual a specific port to use. Running docker ps shows that 8 separate containers are now running:

» docker ps
CONTAINER ID        IMAGE                   COMMAND                  CREATED             STATUS              PORTS                    NAMES
95c377284318        bkimminich/juice-shop   "npm start"              47 seconds ago      Up 45 seconds       0.0.0.0:3007->3000/tcp   boring_goodall
36e080297608        bkimminich/juice-shop   "npm start"              48 seconds ago      Up 46 seconds       0.0.0.0:3006->3000/tcp   relaxed_wescoff
ad6789b42e0a        bkimminich/juice-shop   "npm start"              49 seconds ago      Up 47 seconds       0.0.0.0:3005->3000/tcp   determined_yalow
dccf20363987        bkimminich/juice-shop   "npm start"              49 seconds ago      Up 48 seconds       0.0.0.0:3004->3000/tcp   romantic_bhaskara
eb728dd808bc        bkimminich/juice-shop   "npm start"              50 seconds ago      Up 48 seconds       0.0.0.0:3003->3000/tcp   competent_raman
f48dd5d0cba3        bkimminich/juice-shop   "npm start"              51 seconds ago      Up 49 seconds       0.0.0.0:3002->3000/tcp   modest_varahamihira
97ad864d4497        bkimminich/juice-shop   "npm start"              51 seconds ago      Up 49 seconds       0.0.0.0:3001->3000/tcp   elated_ritchie
2de220b6b043        bkimminich/juice-shop   "npm start"              52 seconds ago      Up 50 seconds       0.0.0.0:3000->3000/tcp   angry_snyder
00afd0111e90        ctfd_ctfd               "/opt/CTFd/docker-..."   11 days ago         Up 3 days           0.0.0.0:9999->8000/tcp   ctfd_ctfd_1

~

Hope this helps. If you wish to make sure that the CTFd flags are different make sure that you add the same CTF_KEY command to each line and then run juice-shop-ctf and import that into CTFd so that all the flags are synced and working.

This all ran on a Mac book with no issues. Docker had 8gb of ram and 4 cpu threads which was a little overkill in hind sight.

Going forwards I’m looking into being able to spin up this on a number of raspberry pi’s for use as an easily mobile ctf. I just need to figure out the whole docker swarm thing and to have different instances instead of just a single load balanced one.

[lock[bot]]

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