(ebook) black hat python : python programming for hackers and pentesters by seitz, justin isbn 97815

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Black Hat python

Python Programming for Hackers and Pentesters

Black Hat PytHon

Black Hat Pyt H on

Python Programming for Hackers and Pentesters

San Francisco

Black Hat PytHon. Copyright © 2015 by Justin Seitz.

All rights reserved. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage or retrieval system, without the prior written permission of the copyright owner and the publisher.

Printed in USA

First printing

18 17 16 15 14 1 2 3 4 5 6 7 8 9

ISBN-10: 1-59327-590-0

ISBN-13: 978-1-59327-590-7

Publisher: William Pollock

Production Editor: Serena Yang

Cover Illustration: Garry Booth

Interior Design: Octopod Studios

Developmental Editor: Tyler Ortman

Technical Reviewers: Dan Frisch and Cliff Janzen

Copyeditor: Gillian McGarvey

Compositor: Lynn L’Heureux

Proofreader: James Fraleigh

Indexer: BIM Indexing and Proofreading Services

For information on distribution, translations, or bulk sales, please contact No Starch Press, Inc. directly:

No Starch Press, Inc.

245 8th Street, San Francisco, CA 94103

phone: 415.863.9900; info@nostarch.com www.nostarch.com

Library of Congress Control Number: 2014953241

No Starch Press and the No Starch Press logo are registered trademarks of No Starch Press, Inc. Other product and company names mentioned herein may be the trademarks of their respective owners. Rather than use a trademark symbol with every occurrence of a trademarked name, we are using the names only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark.

The information in this book is distributed on an “As Is” basis, without warranty. While every precaution has been taken in the preparation of this work, neither the author nor No Starch Press, Inc. shall have any liability to any person or entity with respect to any loss or damage caused or alleged to be caused directly or indirectly by the information contained in it.

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