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Hosmer - Python Passive Network Mapping

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Python Passive Network Mapping: summary, description and annotation

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Python Passive Network Mapping: P2NMAP is the first book to reveal a revolutionary and open source method for exposing nefarious network activity. The Heartbleed vulnerability has revealed significant weaknesses within enterprise environments related to the lack of a definitive mapping of network assets. In Python Passive Network Mapping, Chet Hosmer shows you how to effectively and definitively passively map networks. Active or probing methods to network mapping have traditionally been used, but they have many drawbacks - they can disrupt operations, crash systems, and - most importantly - miss critical nefarious activity. You require an accurate picture of the environments you protect and operate in order to rapidly investigate, mitigate, and then recover from these new attack vectors. This book gives you a deep understanding of new innovations to passive network mapping, while delivering open source Python-based tools that can be put into practice immediately. Python Passive Network Mapping is for practitioners, forensic investigators, IT teams, and individuals who work together when performing incident response and investigating potential damage, or are examining the impacts of new malware threats. Those defending critical infrastructures will have a special interest in this book, as active or probing methods of network mapping are rarely used within these environments as any resulting impacts can be disastrous. Python Passive Network Mapping is ideally suited for use as a text in a variety of academic programs to expose and engage students in the art of passively mapping enterprise networks, with the added benefit of providing exposure to open source Python solutions. First book to show you how to use open source Python to conduct passive network mapping Provides a new method for conducting incident response and investigating the extent of potential damage to your systems Python code forensics toolkit for network mapping included on the companion website.

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Python Passive Network Mapping P2NMAP Chet Hosmer Table of Contents - photo 1
Python Passive Network Mapping
P2NMAP
Chet Hosmer
Table of Contents Copyright Acquiring Editor Chris Katsaropoulos Editorial - photo 2
Table of Contents
Copyright

Acquiring Editor: Chris Katsaropoulos

Editorial Project Manager: Benjamin Rearick

Project Manager: Priya Kumaraguruparan

Designer: Matthew Limbert

Syngress is an imprint of Elsevier

225 Wyman Street, Waltham, MA 02451, USA

Copyright 2015 Elsevier Inc. All rights reserved.

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.

This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).

Notices

Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.
Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.
To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein.

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library

Library of Congress Cataloging-in-Publication Data

A catalog record for this book is available from the Library of Congress

ISBN: 978-0-12-802721-9

For information on all Syngress publications visit our website at http://store.elsevier.com/

Dedication To our children who inspire me every day and make me realize how - photo 3

Dedication

To our children who inspire me every day and make me realize how blessed I truly am. Whether you take care of the sick and injured, you teach and inspire future generations, you care deeply and fight to protect our environment or you simply bring unconditional love to everyone you touch. To Kira, Tiffany, Trisha and Matty.

Biography
Chet Hosmer is the Founder of Python Forensics Inc a non-profit organization - photo 4

Chet Hosmer is the Founder of Python Forensics, Inc. a non-profit organization focused on the collaborative development of open-source investigative technologies using the Python programming language. Chet is also the founder of WetStone Technologies, Inc. and has been researching and developing technology and training surrounding forensics, digital investigation and steganography for over two decades. He has made numerous appearances to discuss emerging cyber threats including National Public Radios Kojo Nnamdi show, ABCs Primetime Thursday, NHK Japan, CrimeCrime TechTV and ABC News Australia. He has also been a frequent contributor to technical and news stories relating to cyber security and forensics and has been interviewed and quoted by IEEE, The New York Times, The Washington Post, Government Computer News, Salon.com and Wired Magazine.

Chet serves as a visiting professor at Utica College where he teaches in the Cybersecurity Graduate program. He is also an Adjunct Faculty member at Champlain College in the Masters of Science in Digital Forensic Science Program. Chet delivers keynote and plenary talks on various cyber security related topics around the world each year.

Chet resides with Wife Janet, Son Matthew along with his four legged family near Myrtle Beach, South Carolina.

Gary C Kessler PhD CCE CCFP CISSP is a Professor of Homeland Security - photo 5

Gary C. Kessler , Ph.D., CCE, CCFP, CISSP, is a Professor of Homeland Security at Embry-Riddle Aeronautical University, a member of the North Florida ICAC (Volusia County Sheriffs Department), and president and janitor of Gary Kessler Associates, a training and consulting company specializing in computer and network security and digital forensics. He is the co-author of two professional texts and over 70 articles, a frequent speaker at regional, national, and international conferences, and past editor-in-chief of the Journal of Digital Forensics, Security and Law. More information about Gary can be found at his Web site, http://www.garykessler.net.

Preface

It is Monday morning, July 6, 2015 and you have just returned from the long holiday weekend. On your desk sits a note that reads

A vulnerability has been discovered that may affect SCADA based networks. We need to determine if any of our systems are potentially vulnerable or worse have already been compromised. As you know, we cannot actively scan our SCADA network, so we need to passively map network activity and behaviors over the next week and then analyze the results. We need a way to determine/verify every end point on our network, what systems they communicate with, what countries those connections have made to and from.

I Need prelim report by noon tomorrow.

Thanks,

the CISO

P.S. we have no budget for new toys.

Intended Audience
This information in this book was designed to be accessible by anyone who has a desire to learn how to leverage the Python programming language to passively monitor and analyze network activity for worthy causes . The open source scripts and knowledge transfer are yours to use and hopefully inspire you to advance the scripts, contribute to the community, and look at passive network monitoring from a whole new perspective.
Prerequisites
Access to a computer, familiarity with an operating system (Windows, Linux or Mac) and access to the Internet, coupled with a desire to learn. Some familiarity with programming and the Python programming language would be helpful.
Reading this Book
The book is organized with the first two chapters focused on introductory material to define what passive network mapping is, how to setup an environment to perform passive network mapping, and to demonstrate what value passive network mapping can bring.
introduce scripts that perform passive network capture on a Linux or Windows platform, and provides scripts that allow you to perform network mapping functions and mine the captured data for analysis purposes.
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