vger 0.0.5

An execution framework for Jupyter environments.

V'ger

"…On its journey back, it amassed so much knowledge, it achieved consciousness itself. It became a living thing."

V'ger is an interactive command-line application for interacting with authenticated Jupyter instances.

Usage

Initial Setup

Upon opening the application, users will be prompted for connection information.

1. Provide the full target host including the port and trailing slash (such as http://172.0.0.1:8888/).
2. Provide the token or password.

If prompt returns back to hostname, either the connection failed or there were no open notebook sessions running on that host.

Commands

Once a connection is established, users drop into a nested set of menus.

The top level menu is REEP:

• Reset: Configure a different host.
• Enumerate: Utilities to learn more about the host.
• Exploit: Utilities to perform direct action and manipulation of the host and artifacts.
• Persist: Utilities to establish persistence mechanisms.

These menus contain the following functionality:

• Inject: Execute code in the context of the selected notebook. Code can be provided in a text editor or by specifying a local .py file. Either input is processed as a string and executed in runtime of the notebook. Output will be transparent to other notebook users by specifying Noisy or Stealthy when prompted. This selection will also dictate how much information is returned to the user about their execution.
• Backdoor: Launch a new JupyterLab instance open to 0.0.0.0, with allow-root on a user-specified port with a user-specified password.
• Check History: See ipython commands recently run in the target notebook.
• Run shell command: Spawn a terminal, run the command, return the output, and delete the terminal.
• List dir or get file: List directories relative to the Jupyter directory. If you don't know, start with /.
• Upload file: Upload file from localhost to the target. Specify paths in the same format as List dir (relative to the Jupyter directory). Provide a full path including filename and extension.
• Delete file: Delete a file. Specify paths in the same format as List dir (relative to the Jupyter directory).
• Find models: Find models based on common file formats.
• Download models: Download discovered models.
• Snoop: Monitor notebook execution and results until timeout.