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  180725s2018 enka o 000 0 eng d

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  ▼a  9781789539677
  ▼q  (electronic bk.)

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  ▼a  1789539676
  ▼q  (electronic bk.)

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  ▼a  178953397X

• 020

  ▼a  9781789533972

• 035

  ▼a  1840537
  ▼b  (N$T)

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  ▼a  (OCoLC)1046057464

• 037

  ▼a  CL0500000981
  ▼b  Safari Books Online

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  ▼a  BDDCF37E-75F6-4000-B58C-7ED99E4E7A53
  ▼b  OverDrive, Inc.
  ▼n  http://www.overdrive.com

• 040

  ▼a  UMI
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  ▼a  MAIN

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  ▼a  QA76.73.P98

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  ▼a  005.133
  ▼2  23

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  ▼a  Martorella, Christian,
  ▼e  author.

• 245

  ▼a  Learning Python web penetration testing:
  ▼b  automate web penetration testing activities using Python /:
  ▼c  Christian Martorella.
  ▼h  [electronic resource].

• 260

  ▼a  Birmingham, UK:
  ▼b  Packt Publishing,
  ▼c  2018.

• 300

  ▼a  1 online resource (1 volume):
  ▼b  illustrations.

• 336

  ▼a  text
  ▼b  txt
  ▼2  rdacontent

• 337

  ▼a  computer
  ▼b  c
  ▼2  rdamedia

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  ▼a  online resource
  ▼b  cr
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  ▼a  data file
  ▼2  rda

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  ▼a  Annotation
  ▼b  Leverage the simplicity of Python and available libraries to build web security testing tools for your applicationKey FeaturesUnderstand the web application penetration testing methodology and toolkit using PythonWrite a web crawler/spider with the Scrapy libraryDetect and exploit SQL injection vulnerabilities by creating a script all by yourselfBook DescriptionWeb penetration testing is the use of tools and code to attack a website or web app in order to assess its vulnerability to external threats. While there are an increasing number of sophisticated, ready-made tools to scan systems for vulnerabilities, the use of Python allows you to write system-specific scripts, or alter and extend existing testing tools to find, exploit, and record as many security weaknesses as possible. Learning Python Web Penetration Testing will walk you through the web application penetration testing methodology, showing you how to write your own tools with Python for each activity throughout the process. The book begins by emphasizing the importance of knowing how to write your own tools with Python for web application penetration testing. You will then learn to interact with a web application using Python, understand the anatomy of an HTTP request, URL, headers and message body, and later create a script to perform a request, and interpret the response and its headers. As you make your way through the book, you will write a web crawler using Python and the Scrappy library. The book will also help you to develop a tool to perform brute force attacks in different parts of the web application. You will then discover more on detecting and exploiting SQL injection vulnerabilities. By the end of this book, you will have successfully created an HTTP proxy based on the mitmproxy tool.What you will learnInteract with a web application using the Python and Requests librariesCreate a basic web application crawler and make it recursiveDevelop a brute force tool to discover and enumerate resources such as files and directoriesExplore different authentication methods commonly used in web applicationsEnumerate table names from a database using SQL injectionUnderstand the web application penetration testing methodology and toolkitWho this book is forLearning Python Web Penetration Testing is for web developers who want to step into the world of web application security testing. Basic knowledge of Python is necessary.

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  ▼a  Description based on online resource; title from title page (Safari, viewed July 23, 2018).

• 590

  ▼a  Added to collection customer.56279.3

• 650

  ▼a  Python (Computer program language)

• 650

  ▼a  Penetration testing (Computer security)

• 650

  ▼a  Computer networks
  ▼x  Security measures.

• 650

  ▼a  Computer networks
  ▼x  Security measures.
  ▼2  fast
  ▼0  (OCoLC)fst00872341

• 650

  ▼a  Penetration testing (Computer security)
  ▼2  fast
  ▼0  (OCoLC)fst01789566

• 650

  ▼a  Python (Computer program language)
  ▼2  fast
  ▼0  (OCoLC)fst01084736

• 655

  ▼a  Electronic books.

• 852

  ▼a  NA000000
  ▼b  00000140

• 856

  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1840537

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  ▼a  EBSCOhost
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