Reason for this repo
I quite enjoyed the book, butit looks quite outdated, not just for the choice of using Python 2.7.
Deliberately, as expressed by the author, the scripts are written rought & dirty to simulate the approach he uses during a penetration testing.
However, this sometimes leads to code that is not very understandable, and not very efficient.
Since I had to convert all the source codes anyway, to run them on my machine (Kali Linux VM + Win10 OS + Win10 VM + Python 3.9) I decided to go extra-mile and save them in a repo, in the meantime trying to optimize the code and making it a little more elegant.
The code in the book does not always run flawlessy. It may depends on the local configuration on your machine, the test you are running, and also, outdated code presented in the book. So expect a bit of tweak here and there.
Further details are expressed in each folder, one for each chapter of the book.
Wrote this 30-page essay that aims to explore an approach to statistics for the layman - from simple average to stochastic gradient descent.
Open source, free culture code - happy sharing.
Deliberately, as expressed by the author, the scripts are written rought & dirty to simulate the approach he uses during a penetration testing. However, this sometimes leads to code that is not very understandable, and not very efficient.
Since I had to convert all the source codes anyway, to run them on my machine (Kali Linux VM + Win10 OS + Win10 VM + Python 3.9) I decided to go extra-mile and save them in a repo, in the meantime trying to optimize the code and making it a little more elegant.
The code in the book does not always run flawlessy. It may depends on the local configuration on your machine, the test you are running, and also, outdated code presented in the book. So expect a bit of tweak here and there.
Further details are expressed in each folder, one for each chapter of the book.