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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 this recipe, you will use UPX to pack a directory of files.

  1. Place upx.exe in a directory, A, and place a collection of samples in a directory, B, in A. For this example, B is Benign PE Samples UPX.
  2.  List the files of directory B:
import osfiles_path = "Benign PE Samples UPX/"files = os.listdir(files_path)file_paths = [files_path+x for x in files]
  1. Run upx against each file in B:
from subprocess import Popen, PIPEcmd = "upx.exe"for path in file_paths:    cmd2 = cmd+" \""+path+"\""    res = Popen(cmd2, stdout=PIPE).communicate()    print(res)
  1. Whenever an error occurs in packing, remove the original sample:
    if "error" in str(res[0]):        print(path)        os.remove(path)
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Publisher Resources

ISBN: 9781789614671Supplemental Content