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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 to do it...

In the following steps, we will parse the PE header of a file, and then print out notable portions of it:

  1. Import the PE file and use it to parse the PE header of your desired file:
import pefiledesired_file = "python-3.7.2-amd64.exe"pe = pefile.PE(desired_file)
  1. List the imports of the PE file:
for entry in pe.DIRECTORY_ENTRY_IMPORT:    print(entry.dll)    for imp in entry.imports:        print("\t", hex(imp.address), imp.name)

A small portion of the output is shown here:

  1. List the sections of the PE file:
for section in pe.sections:    print(        section.Name,        hex(section.VirtualAddress),        hex(section.Misc_VirtualSize), section.SizeOfRawData, ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content