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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 it works...

This scenario simulates tampering with a file and then utilizing similarity hashing to detect the existence of tampering, as well as measuring the size of the delta. We begin with a vanilla Python executable and then tamper with it by adding a null byte at the end (step 1). In real life, a hacker may take a legitimate program and insert malicious code into the sample. We double-checked that the tempering was successful and examined its nature using a hexdump in step 2. We then ran a similarity computation using similarity hashing on the original and tempered file, to observe that a minor alteration took place (step 3). Utilizing only standard hashing, we would have no idea how the two files are related, other than to conclude ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content