Machine Learning (ML) Write-ups for the Hack the Box Cyber Apocalypse CTF 2023
Click on the link to go to the Jupyter Notebook code that solved the flag
Reconfiguration: Ranked as very easy challenge. --> reconfiguration.ipynb
Mysterious Learnings: Ranked as easy challenge. --> mysteriuos_learnings.ipynb
Last Hope: Ranked as medium challenge. --> last-hope.ipynb
On the Rescue: Ranked as medium challenge. --> on-the-rescue.ipynb
Vision Chip: Ranked as medium challenge. --> challenge.ipynb
Each folder in this repository corresponds to each Machine Learning CTF Challenge
If you're unfamiliar with machine learning, and just the concept of machine learning or artificial intelligence, there are TONS of articles and videos online that can give you great explanations.
Personally, I think this article by MIT is a great one https://mitsloan.mit.edu/ideas-made-to-matter/machine-learning-explained
The first machine learning course I took was Andrew Ng's Machine Learning Course from Coursera. Andrew Ng, does a great job at introducing machine learning, and if you're interested in taking up a course, I would highly suggest to start there.
If you like books, I highly suggest Janelle Shane's, You Look Like a Thing and I Love You. This book is an easy to read and FUNNY book about machine learning and artifical intelligence.
Knowing how to ask the right questions and think about the next steps is half the battle when debugging or solving these challenges. Google or ChatGPT can handle the other half!
I hope you enjoyed this CTF as much as I did! You can find me on the hackthebox Discord as glockachu
Feel free to contact me for any further explanations on the challenges.
If I get enough requests, I can also upload in depth videos on my thought process behind each challenge.
૮₍˶ •. • ⑅₎ა ♡ glockachu