What’s up yall!

In this post we’ll take a look at Python for data recovery.

We’ll be covering a script I made that reads through a disk (in this example, a USB) and checks for specific file signatures in an attempt to recover photos and images (.jpg) from said disk.

If you haven’t seen my previous post about data recovery using a hex editor, I highly recommend it since a lot of the knowledge from that post will be automated using this script.

I’ll also get into how you can use this script to search for other types of files later on… 😉

Let’s get into the tutorial!

What’s good?

In this post we’ll see how to do data recovery using a hex editor.

If you used a data recovery program in the past you might have asked yourself: how do they work?

That is exactly what we’ll be covering on this post. I’m sure by the end of it you’ll have a broader understanding of what files look like in terms of raw bytes and how to identify them in a drive.

Let’s jump into it! 😉

What’s going on guys?

I have a short encryption tutorial for you today, which is kind of a continuation from my recursive file encryption post a while back.

In that post we did encryption of multiple files recursively, while this time we’ll be doing in-memory AES encryption over the network.

This tutorial will be limited in scope in the sense that we’ll only send the data one way for now (from client to server); however, the plan is to incorporate it into my python control server series soon.

We’ll be using Python 3 for this tutorial (as one should by now). For the encryption side of things we’re using pyAesCrypt, which can be easily installed with pip by running the following command in a terminal:

python -m pip install pyaescrypt

In the video above, after going through the code and explanations, I also fire up wireshark and show the difference from both a plaintext server/client traffic to the encrypted data we’re implementing here.