Skip to Content
Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

How to do it...

In the following recipe, we tamper with a binary file. We then compare it to the original to see that ssdeep determines that the two files are highly similar but not identical:

  1. First, we download the latest version of Python, python-3.7.2-amd64.exe. I am going to create a copy, rename it python-3.7.2-amd64-fake.exe, and add a null byte at the end:
truncate -s +1 python-3.7.2-amd64-fake.exe
  1. Using hexdump, I can verify that the operation was successful by looking at the file before and after:
hexdump -C python-3.7.2-amd64.exe |tail -5

This results in the following output:

018ee0f0  e3 af d6 e9 05 3f b7 15  a1 c7 2a 5f b6 ae 71 1f  |.....?....*_..q.|018ee100 6f 46 62 1c 4f 74 f5 f5 a1 e6 91 b7 fe 90 06 3e |oFb.Ot.........>| ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Hands-On Machine Learning for Cybersecurity

Hands-On Machine Learning for Cybersecurity

Soma Halder, Sinan Ozdemir
Machine Learning on Kubernetes

Machine Learning on Kubernetes

Faisal Masood, Ross Brigoli

Publisher Resources

ISBN: 9781789614671Supplemental Content