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Violent Python : A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers

Violent Python : A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers

Violent Python : A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers Paperback - 2012 - 1st Edition

by T. J. O'Connor

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Elsevier Science & Technology Books, 2012. Paperback. Very Good. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Details

  • Title Violent Python : A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers
  • Author T. J. O'Connor
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition Used - Very good
  • Pages 288
  • Volumes 1
  • Language ENG
  • Publisher Elsevier Science & Technology Books, Waltham, MA, USA
  • Publication date 2012
  • Features Bibliography, Index
  • Bookseller's Inventory # G1597499579I4N00
  • ISBN 9781597499576 / 1597499579
  • Weight 1.05 lbs (0.48 kg)
  • Dimensions 9.1 x 7.4 x 0.8 in (23.11 x 18.80 x 2.03 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Computers - Communications / Networking
  • Library of Congress subjects Python (Computer program language)
  • Library of Congress Catalogue Number 2012030814
  • Dewey Decimal Code 005.133
  • Quantity available 1

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Reader reviews for Violent Python : A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers

From the publisher

Violent Python shows you how to move from a theoretical understanding of offensive computing concepts to a practical implementation. Instead of relying on another attacker's tools, this book will teach you to forge your own weapons using the Python programming language. This book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. It also shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices, and how to data-mine popular social media websites and evade modern anti-virus.

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