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a library that is responsible of modeling objects to connect to another host via one or more intermediaries, offering a variety of modes (FOR, TOR, FILE, and INTERACTIVE)

Project description

This package contains building blocks to make an encrypted connection via one or more intermediate hosts possible. The underlying foundation is SSH with the ProxyJump directive enabled. This package also contains modules that provides a variety of services. For simplicity, all modules are designed in a functional manner.

The power of SSH is harnessed by the transferagent.py and tunnel.py modules. These modules are responsible for copying the Agent (agent.py) to the destination host and setting up tunneling. Once tunneling is established, the Agent is executed by bootstrapagent.py by utilizing the stdin of Tunnel. The Instructor (instructor.py) is responsible for starting and stopping services provided by the Agent. These services includes: redirection of internet traffic (TOR mode), copying files (FILE mode), and issuing commands (INTERACTIVE mode). For port forwarding (FOR mode), the program simply relies on SSH itself. The Instructor communicates with the Agent by sending JSON messages over the forwarded connection provided by Tunnel. The Agent also responds to heartbeats send by localhost to check if connection is still intact.

Use the package powermolecli to interact with this library.

How it works

Terminology

  • Tunnel is an established connection from localhost to the target destination host through intermediate hosts (called Gateways).

  • Agent is a python module running on the target destination host. It performs various functions.

  • Instructor sends instructions to the Agent by utilizing a forwarded connection provided by Tunnel.

The program uses ssh to connect to the last host via one or more intermediaries.

../img/illustration_how_it_works_1.png

Through port forwarding, the program can communicate with the agent on the last host.

../img/illustration_how_it_works_2.png

The Instructor in conjuction with the Agent provides four modes:

  • TOR mode

  • FOR(warding) mode

  • INTERACTIVE mode

  • FILE mode

See cli package for applications (uses).

Development Workflow

The workflow supports the following steps

  • lint

  • test

  • build

  • document

  • upload

  • graph

These actions are supported out of the box by the corresponding scripts under _CI/scripts directory with sane defaults based on best practices. Sourcing setup_aliases.ps1 for windows powershell or setup_aliases.sh in bash on Mac or Linux will provide with handy aliases for the shell of all those commands prepended with an underscore.

The bootstrap script creates a .venv directory inside the project directory hosting the virtual environment. It uses pipenv for that. It is called by all other scripts before they do anything. So one could simple start by calling _lint and that would set up everything before it tried to actually lint the project

Once the code is ready to be delivered the _tag script should be called accepting one of three arguments, patch, minor, major following the semantic versioning scheme. So for the initial delivery one would call

$ _tag –minor

which would bump the version of the project to 0.1.0 tag it in git and do a push and also ask for the change and automagically update HISTORY.rst with the version and the change provided.

So the full workflow after git is initialized is:

  • repeat as necessary (of course it could be test - code - lint :) ) * code * lint * test

  • commit and push

  • develop more through the code-lint-test cycle

  • tag (with the appropriate argument)

  • build

  • upload (if you want to host your package in pypi)

  • document (of course this could be run at any point)

Important Information

This template is based on pipenv. In order to be compatible with requirements.txt so the actual created package can be used by any part of the existing python ecosystem some hacks were needed. So when building a package out of this do not simple call

$ python setup.py sdist bdist_egg

as this will produce an unusable artifact with files missing. Instead use the provided build and upload scripts that create all the necessary files in the artifact.

Documentation

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Authors

  • Vincent Schouten - Initial work - LINK

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

  • rofl0r (developer of proxychains-ng)

  • Costas Tyfoxylos

History

0.0.1 (13-05-2020)

  • First code creation

0.1.0 (13-05-2020)

  • first commit

0.1.1 (13-05-2020)

  • pypi complains filename has been used, increment version

0.1.2 (15-05-2020)

  • debug mode added + logger_basename given a correct name

1.0.0 (16-05-2020)

  • tunnel.py is heavily refactored: 1) instead of assigning individual ports to the instance a dictionary is used, 2) a new method is created named periodically_purge_buffer() which should be called once from the cli + agentassistant.py is renamed to instructor.py

1.0.1 (16-05-2020)

  • _run_purger() modified to include try block + text updated

2.0.0 (16-05-2020)

  • Assistant() renamed to Instructor() and start() of transferagent modified (due to bugfix: the agent module could never be copied successfully)

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