black-widow 1.8.2

Offensive penetration testing tool

---

description: >- black-widow is one of the most useful, powerful and complete offensive penetration testing tool

black-widow

Offensive penetration testing tool (Open Source)

black-widow provides easy ways to execute many kinds of information gatherings and attacks.

• Fully Open Source
• Written in Python
• Continuously updated and extended

Features

• Localhost Web GUI
• Sniffing
• Website crawling
• Web page parsing
• SQL injection
• Injected database management
• Brute force attacks
• Cluster between other black-widows
• Multiple asynchronous requests
• Multiple targets management
• Useful CTF features

  APT installation (ubutu/debian)

sudo add-apt-repository ppa:offensive-hub/black-widow
sudo apt-get update
sudo apt-get install black-widow

  APT installation (other distro)

1. Put the following text on /etc/apt/sources.list.d/black-widow.list file:

   deb http://ppa.launchpad.net/offensive-hub/black-widow/ubuntu focal main 
   deb-src http://ppa.launchpad.net/offensive-hub/black-widow/ubuntu focal main 
   

2. Execute the following commands:

   sudo sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 5D26C76613E84EA9
   sudo apt-get update
   sudo apt-get install black-widow
   

  PyPI installation

sudo pip3 install black-widow

  Docker installation

If you haven't Docker, install it

• GUI: docker run -d -p 8095:80 offensive/black-widow -g
  • Than visit: http://localhost:8095
• Command line: docker run --rm offensive/black-widow <arguments>

Manual installation

1. sudo apt-get update && sudo apt-get install tidy clang tshark
2. mkdir black-widow
3. cd black-widow
4. touch black-widow.py && chmod +x black-widow.py
5. Copy and paste the following code in file black-widow.py:

   #!/usr/bin/env python3
   
   from black_widow.black_widow import main
   
   if __name__ == "__main__":
       main()
   

6. git clone [e-mail]:offensive-hub/black-widow.git black_widow
7. sudo pip3 install -U -r black_widow/requirements.txt
8. ./black-widow.py --django migrate black_widow
9. Now you can run black-widow with: ./black-widow.py <arguments>

Run

• GUI: black-widow -g
• Command line: black-widow <arguments>

Debug

• Run django (examples):
  • black-widow --django runserver
  • black-widow --django help
  • black-widow --django "help createsuperuser"

Project layout

[root]
  |
  |-- app/              # Main application package
  |    |
  |    |-- arguments/       # User input arguments parser (100%)
  |    |
  |    |-- attack/          # Attack modality package (0%)
  |    |-- defense/         # Defense modality package (0%)
  |    |
  |    |-- gui/             # Graphical User Interface package (100%)
  |    |
  |    |-- helpers/         # Helper methods package (100%)
  |    |
  |    |-- managers/        # Managers package
  |    |    |
  |    |    |-- cluster/        # Cluster managers package (0%)
  |    |    |-- crypto/         # Encryption managers package (70%)
  |    |    |-- injection/      # Injection managers package (60%)
  |    |    |-- parser/         # Parser managers package (100%)
  |    |    |-- request/        # Request managers package (70%)
  |    |    |-- sniffer/        # Sniffer managers package (95%)
  |    |
  |    |-- services/        # Services package
  |    |    |
  |    |    |-- logger.py       # Logger service (100%)
  |    |    |-- multitask.py    # MultiTask service (100%)
  |    |    |-- serializer.py   # PickleSerializer and JsonSerializer serivces (100%)
  |    |
  |    |-- storage/         # Storage directory
  |    |
  |    |-- env.py           # Environment variables management
  |
  |-- .env              # Environment variables
  |
  |-- black-widow.py    # Main executable

Links

• Homepage: https://black-widow.it
• PyPI: https://pypi.org/project/black-widow
• GitHub: https://github.com/offensive-hub/black-widow
• Docker Registry: https://hub.docker.com/r/offensive/black-widow
• PPA: Launchpad.net
• Free Software Directory: https://directory.fsf.org/wiki/Black-widow

Contacts

• [e-mail]

Authors

• Fabrizio Fubelli

Thanks to

• PyShark
• Sqlmap
• Material Dashboard

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