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Python: Penetration Testing for Developers
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Python: Penetration Testing for Developers
Unleash the power of Python scripting to execute effective and efficient penetration tests
Python: Penetration Testing for Developers
物品 #: 23559807

Python: Penetration Testing for Developers

78% of respondents would recommend this to a friend

物品 #: 23559807

HKD 909

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Unleash the power of Python scripting to execute effective and efficient penetration tests
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What Stands Out

Developer Focused
Tailored for developers, this resource bridges the gap between coding and security, providing essential penetration testing skills without prior expertise, making security practices accessible and relevant.
Hands-On Approach
Engaging tutorials and practical exercises allow users to implement penetration testing techniques in real-world scenarios, enhancing learning retention and enabling immediate application of skills in development projects.
Comprehensive Coverage
Covers a wide array of penetration testing tools and methodologies, offering thorough insights that equip developers to identify vulnerabilities, thereby significantly improving software security and resilience against threats.

產品詳情

Explore Python for penetration testing and enhance your developer skills with Ubuy 香港. Learn advanced techniques for secure application development and testing.
  • Learn to use Python scripting for penetration testing
  • Develop fluency in Python for writing security testing scripts
  • Gain knowledge about Metasploit resource files and exploit generation with Python
  • Explore wireless traffic and perform wireless attacks using Python programs
  • Discover various Python pentesting recipes for different situations
  • A comprehensive learning path comprising of the best Packt products focused on Python penetration testing
Publisher Packt Publishing
Publication date October 21, 2016
Edition Digital original
Language English
Print length 666 pages
ISBN-10 1787128180
ISBN-13 978-1787128187
Item Weight 2.68 pounds (1.22 kg)
Dimensions 7.5 x 1.5 x 9.25 inches (19.1 x 3.8 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Security Engineers

    Developers looking to enter cybersecurity will gain essential skills in penetration testing using Python effectively.

  • Web Developers

    Web developers wanting to improve their understanding of security vulnerabilities and protect their applications will benefit greatly.

  • Data Analysts

    Data analysts interested in cybersecurity can leverage Python for penetration testing to secure data handling practices.

Not Suitable For
  • Beginners in Programming

    Complete programming novices may find the topics challenging and overwhelming without foundational knowledge in Python.

產品敘述

Python: Penetration Testing for Developers

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Software Development Editorial Review

Python: Penetration Testing for Developers is an insightful resource published by Packt Publishing, focusing on equipping developers with the necessary skills to effectively conduct penetration testing. The digital original edition, published on October 21, 2016, spans 666 pages, making it a comprehensive guide. Readers have expressed appreciation for its detailed approach and practical examples, which enhance their understanding of security practices. This book serves as both an educational tool and a reference guide, ideal for beginner to intermediate developers looking to improve their cybersecurity expertise.

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優點

  • Comprehensive guide to penetration testing concepts
  • Practical examples enhance understanding
  • Suitable for beginner to intermediate developers
  • Well-structured content for easy navigation
  • Written in accessible English

缺點

  • Some concepts may require prior programming knowledge

Product Price History

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HKD 909

現在訂購，約可在下列時間收貨： 星期六, 十月 10

QTY:

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PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

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  • fedex
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Fastest cross-border delivery

特色和優勢

  • Develop pentesting skills with Python
  • Learn to write sharper scripts for security testing
  • Get familiar with powerful security tools
  • Exploit weaknesses with Python
  • Gather passive information for website attacks
  • Develop complicated header-based attacks

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