Skip to content
This repository has been archived by the owner on Jun 19, 2024. It is now read-only.

Latest commit

 

History

History
54 lines (36 loc) · 1.76 KB

README.md

File metadata and controls

54 lines (36 loc) · 1.76 KB
Raw

Best HackTheBox Machines

About

This repository contains a simple script that I use in order to download data from HackTheBox' API, which in turn is used to generate an HTML table containing various information regarding a machine (Box), e.g. Name, Difficulty, and more importantly the Matrix. The latter contains 5 scores (from 0 to 10):

  • Enumeration
  • Real-Life
  • CVE
  • Custom Exploitation
  • CTF-like

Example of the output

Why

At the time of writing, I didn't know any other methods to get the information I needed.

Details

The script it's not very user-friendly. You have to:

  • add your own API_KEY (either inside main.py or in a new file secrets.py)
  • create the foldr data/ (used to write .csv and .json files)
  • change the functions called inside the main
if __name__ == "__main__":
    write_data_all_machines()
    write_data_all_matrices()
    write_matrices_data_to_csv()
    write_matrices_data_to_csv(maker_or_aggregate='maker')

First you have to download data from the API, and then write it to file, which in turn is used to generate two CSV files.

After you get the aforementioned files, you can use the package csvtotable to generate the HTML ones.

# install package
pip3 install csvtotable

# generate HTML files
bash gen_html.sh

# open them
firefox data/*.html

P.S. Aggregate matrices are the ones generated by users submitting feedback.

Moreover, not every author submits a matrix when creating the machine, which means that you may not find a matrix in some cases.

After you have opened one of the two HTML files, you can sort the rows by Real-life, in order to get the names of the machines with the highest score for that attribute.