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Python Web Penetration Testing Cookbook

You're reading from   Python Web Penetration Testing Cookbook Over 60 indispensable Python recipes to ensure you always have the right code on hand for web application testing

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781784392932
Length 224 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Gathering Open Source Intelligence FREE CHAPTER 2. Enumeration 3. Vulnerability Identification 4. SQL Injection 5. Web Header Manipulation 6. Image Analysis and Manipulation 7. Encryption and Encoding 8. Payloads and Shells 9. Reporting Index

Generating graphs using plot.ly


Sometimes it’s really nice to have a visual representation of your data. In this recipe, we are going to look at using the plot.ly python API to generate a nice graph.

Getting ready

In this recipe, we will be using the plot.ly API to generate our graph. If you don’t already have one, you’ll need to sign up for an account at https://plot.ly.

Once you have an account, you will need to prepare your environment for using plot.ly.

The easiest way is to use pip to install it, so simply run the command:

$ pip install plotly

Then, you will need to run the following command (substituting the {username}, {apikey}, and {streamids} with your own, which are viewable under your account subscriptions on the plot.ly site):

python -c “import plotly;  plotly.tools.set_credentials_file(username=’{username}’,  api_key=’{apikey}’, stream_ids=[{streamids}])”

If you are following along with this example, I used the pcap file that is available online here for testing: http://www.snaketrap...

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