Python : penetration testing for developers by Christopher Duffy et al.

By Christopher Duffy et al.

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Bibliography Index Python: Penetration Testing for Developers Python: Penetration Testing for Developers Unleash the power of Python scripting to execute effective and efficient penetration tests A course in three modules BIRMINGHAM - MUMBAI Python: Penetration Testing for Developers Copyright © 2016 Packt Publishing All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

An overview of penetration testing There is a huge misconception about what penetration testing is. This is common even among professionals who have recently entered the field. New penetration testers or professionals who request penetration tests often say that these tests prove the exploitability of vulnerabilities, the susceptibility of an environment to exploitation, or just the presence of vulnerabilities. This misunderstanding manifests itself into real impacts on engagements as they are scoped, sourced, and conducted.

The most damaging result of this misunderstanding is that the organization may not be able to identify when an assessor is missing the skills necessary to execute the required engagement. Note Similarly, new assessors have the misconception that a Vulnerability Management Solution (VMS) such as Nexpose, Nessus, Qualys, or others will identify the way into an environment. These may highlight ways to get into a system, but there is a high rate of false positives and true negatives. A false positive means something was identified as vulnerable, but it is not.

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