https://github.com/someshkar/colabcat

:smiley_cat: Running Hashcat on Google Colab with session backup and restore.
https://github.com/someshkar/colabcat

colabcat google-colab google-colab-notebook hashcat password-cracker password-cracking

Last synced: about 2 months ago
JSON representation

:smiley_cat: Running Hashcat on Google Colab with session backup and restore.

• Host: GitHub
• URL: https://github.com/someshkar/colabcat
• Owner: someshkar
• License: mit
• Created: 2020-06-08T12:04:04.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-01-14T19:24:02.000Z (over 2 years ago)
• Last Synced: 2024-07-27T21:47:26.924Z (about 2 months ago)
• Topics: colabcat, google-colab, google-colab-notebook, hashcat, password-cracker, password-cracking
• Language: Jupyter Notebook
• Homepage: https://somesh.co/colabcat
• Size: 43.9 KB
• Stars: 716
• Watchers: 26
• Forks: 109
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-hacking-lists - someshkar/colabcat - :smiley_cat: Running Hashcat on Google Colab with session backup and restore. (Jupyter Notebook)

README

        
# Colabcat

Run [Hashcat](https://hashcat.net) on [Google Colab](https://colab.research.google.com) with session restore capabilities with Google Drive.

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/someshkar/colabcat/blob/master/colabcat.ipynb)

## Usage

- Go to the link below to open a copy of the `colabcat.ipynb` file in Google Colab:

  https://colab.research.google.com/github/someshkar/colabcat/blob/master/colabcat.ipynb

- Click on `Runtime`, `Change runtime type`, and set `Hardware accelerator` to GPU.

- Go to your Google Drive and create a directory called `dothashcat`, with a `hashes` subdirectory where you can store hashes.

- Come back to Google Colab, click on `Runtime` and then `Run all`.

- When it asks for a Google Drive token, go to the link it provides and authenticate with your Google Account to get the token.

- You can edit the last few cells in the notebook to customize the wordlists it downloads and the type of hash it cracks. A full list of these can be found [here](https://hashcat.net/wiki/doku.php?id=example_hashes).

- If needed, simply type `!bash` in a new cell to get access to an interactive shell on the Google Colab instance.

## How it works

Colabcat creates a symbolic link between the `dothashcat` folder in your Google Drive and the `/root/.hashcat` folder on the Google Colab session.

This enables seamless session restore even if your Google Colab gets disconnected or you hit the time limit for a single session, by syncing the `.restore`, `.log` and the `.potfile` files across Google Colab sessions by storing them in your Google Drive.

## Benchmarks

The `benchmarks` directory in this repository lists `.txt` files with hashcat benchmarks run with `hashcat -b`. The list of known Google Colab GPUs are listed below. An up to date list can be found in the [Colab FAQ](https://research.google.com/colaboratory/faq.html).

- Nvidia Tesla K80

- Nvidia Tesla T4

- Nvidia Tesla P4

- Nvidia Tesla P100

## Similar projects

- [mxrch/penglab](https://github.com/mxrch/penglab) : This is great if you're looking to use other tools like John and Hydra on Colab too.

## Contributing

Issues and Pull Requests are always welcome. Feel free to contribute new Colab GPU benchmarks and features.