GithubHelp home page GithubHelp logo

docker-endlessh's Introduction

linuxserver.io

Blog Discord Discourse Fleet GitHub Open Collective

The LinuxServer.io team brings you another container release featuring:

  • regular and timely application updates
  • easy user mappings (PGID, PUID)
  • custom base image with s6 overlay
  • weekly base OS updates with common layers across the entire LinuxServer.io ecosystem to minimise space usage, down time and bandwidth
  • regular security updates

Find us at:

  • Blog - all the things you can do with our containers including How-To guides, opinions and much more!
  • Discord - realtime support / chat with the community and the team.
  • Discourse - post on our community forum.
  • Fleet - an online web interface which displays all of our maintained images.
  • GitHub - view the source for all of our repositories.
  • Open Collective - please consider helping us by either donating or contributing to our budget

Scarf.io pulls GitHub Stars GitHub Release GitHub Package Repository GitLab Container Registry Quay.io Docker Pulls Docker Stars Jenkins Build LSIO CI

Endlessh is an SSH tarpit that very slowly sends an endless, random SSH banner. It keeps SSH clients locked up for hours or even days at a time. The purpose is to put your real SSH server on another port and then let the script kiddies get stuck in this tarpit instead of bothering a real server.

endlessh

Supported Architectures

We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.

Simply pulling lscr.io/linuxserver/endlessh:latest should retrieve the correct image for your arch, but you can also pull specific arch images via tags.

The architectures supported by this image are:

Architecture Available Tag
x86-64 amd64-<version tag>
arm64 arm64v8-<version tag>
armhf arm32v7-<version tag>

Application Setup

The app listens on the port mapped for ssh connections. To log to file, set the environment variable LOGFILE to true and map a volume for /config. The logs will be under /config/logs/endlessh.

Usage

Here are some example snippets to help you get started creating a container.

docker-compose (recommended, click here for more info)

---
version: "2.1"
services:
  endlessh:
    image: lscr.io/linuxserver/endlessh:latest
    container_name: endlessh
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=Europe/London
      - MSDELAY=10000 #optional
      - MAXLINES=32 #optional
      - MAXCLIENTS=4096 #optional
      - LOGFILE=false #optional
      - BINDFAMILY= #optional
    volumes:
      - /path/to/appdata:/config #optional
    ports:
      - 22:2222
    restart: unless-stopped
docker run -d \
  --name=endlessh \
  -e PUID=1000 \
  -e PGID=1000 \
  -e TZ=Europe/London \
  -e MSDELAY=10000 `#optional` \
  -e MAXLINES=32 `#optional` \
  -e MAXCLIENTS=4096 `#optional` \
  -e LOGFILE=false `#optional` \
  -e BINDFAMILY= `#optional` \
  -p 22:2222 \
  -v /path/to/appdata:/config `#optional` \
  --restart unless-stopped \
  lscr.io/linuxserver/endlessh:latest

Parameters

Container images are configured using parameters passed at runtime (such as those above). These parameters are separated by a colon and indicate <external>:<internal> respectively. For example, -p 8080:80 would expose port 80 from inside the container to be accessible from the host's IP on port 8080 outside the container.

Parameter Function
-p 2222 ssh port
-e PUID=1000 for UserID - see below for explanation
-e PGID=1000 for GroupID - see below for explanation
-e TZ=Europe/London Specify a timezone to use EG Europe/London
-e MSDELAY=10000 The endless banner is sent one line at a time. This is the delay in milliseconds between individual lines.
-e MAXLINES=32 The length of each line is randomized. This controls the maximum length of each line. Shorter lines may keep clients on for longer if they give up after a certain number of bytes.
-e MAXCLIENTS=4096 Maximum number of connections to accept at a time. Connections beyond this are not immediately rejected, but will wait in the queue.
-e LOGFILE=false By default, the app logs to container log. If this is set to true, the log will be output to file under /config/logs/endlessh (/config needs to be mapped).
-e BINDFAMILY= By default, the app binds to IPv4 and IPv6 addresses. Set it to 4 or 6 to bind to IPv4 only or IPv6 only, respectively. Leave blank to bind to both.
-v /config Required if LOGFILE is set to true.

Environment variables from files (Docker secrets)

You can set any environment variable from a file by using a special prepend FILE__.

As an example:

-e FILE__PASSWORD=/run/secrets/mysecretpassword

Will set the environment variable PASSWORD based on the contents of the /run/secrets/mysecretpassword file.

Umask for running applications

For all of our images we provide the ability to override the default umask settings for services started within the containers using the optional -e UMASK=022 setting. Keep in mind umask is not chmod it subtracts from permissions based on it's value it does not add. Please read up here before asking for support.

User / Group Identifiers

When using volumes (-v flags) permissions issues can arise between the host OS and the container, we avoid this issue by allowing you to specify the user PUID and group PGID.

Ensure any volume directories on the host are owned by the same user you specify and any permissions issues will vanish like magic.

In this instance PUID=1000 and PGID=1000, to find yours use id user as below:

  $ id username
    uid=1000(dockeruser) gid=1000(dockergroup) groups=1000(dockergroup)

Docker Mods

Docker Mods Docker Universal Mods

We publish various Docker Mods to enable additional functionality within the containers. The list of Mods available for this image (if any) as well as universal mods that can be applied to any one of our images can be accessed via the dynamic badges above.

Support Info

  • Shell access whilst the container is running: docker exec -it endlessh /bin/bash
  • To monitor the logs of the container in realtime: docker logs -f endlessh
  • container version number
    • docker inspect -f '{{ index .Config.Labels "build_version" }}' endlessh
  • image version number
    • docker inspect -f '{{ index .Config.Labels "build_version" }}' lscr.io/linuxserver/endlessh:latest

Updating Info

Most of our images are static, versioned, and require an image update and container recreation to update the app inside. With some exceptions (ie. nextcloud, plex), we do not recommend or support updating apps inside the container. Please consult the Application Setup section above to see if it is recommended for the image.

Below are the instructions for updating containers:

Via Docker Compose

  • Update all images: docker-compose pull
    • or update a single image: docker-compose pull endlessh
  • Let compose update all containers as necessary: docker-compose up -d
    • or update a single container: docker-compose up -d endlessh
  • You can also remove the old dangling images: docker image prune

Via Docker Run

  • Update the image: docker pull lscr.io/linuxserver/endlessh:latest
  • Stop the running container: docker stop endlessh
  • Delete the container: docker rm endlessh
  • Recreate a new container with the same docker run parameters as instructed above (if mapped correctly to a host folder, your /config folder and settings will be preserved)
  • You can also remove the old dangling images: docker image prune

Via Watchtower auto-updater (only use if you don't remember the original parameters)

  • Pull the latest image at its tag and replace it with the same env variables in one run:

    docker run --rm \
    -v /var/run/docker.sock:/var/run/docker.sock \
    containrrr/watchtower \
    --run-once endlessh
  • You can also remove the old dangling images: docker image prune

Note: We do not endorse the use of Watchtower as a solution to automated updates of existing Docker containers. In fact we generally discourage automated updates. However, this is a useful tool for one-time manual updates of containers where you have forgotten the original parameters. In the long term, we highly recommend using Docker Compose.

Image Update Notifications - Diun (Docker Image Update Notifier)

  • We recommend Diun for update notifications. Other tools that automatically update containers unattended are not recommended or supported.

Building locally

If you want to make local modifications to these images for development purposes or just to customize the logic:

git clone https://github.com/linuxserver/docker-endlessh.git
cd docker-endlessh
docker build \
  --no-cache \
  --pull \
  -t lscr.io/linuxserver/endlessh:latest .

The ARM variants can be built on x86_64 hardware using multiarch/qemu-user-static

docker run --rm --privileged multiarch/qemu-user-static:register --reset

Once registered you can define the dockerfile to use with -f Dockerfile.aarch64.

Versions

  • 16.04.22: - Rebase to Alpine 3.15.
  • 07.10.21: - Fix typo on MAXLINES var.
  • 08.06.21: - Add BINDFAMILY option.
  • 16.04.21: - Initial Release.

docker-endlessh's People

Contributors

aptalca avatar thespad avatar nemchik avatar toomyem avatar roxedus avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.