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Python for Security and Networking

You're reading from   Python for Security and Networking Leverage Python modules and tools in securing your network and applications

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781837637553
Length 586 pages
Edition 3rd Edition
Languages
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Author (1):
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José Manuel Ortega José Manuel Ortega
Author Profile Icon José Manuel Ortega
José Manuel Ortega
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Toc

Table of Contents (23) Chapters Close

Preface 1. Section 1: Python Environment and System Programming Tools
2. Working with Python Scripting FREE CHAPTER 3. System Programming Packages 4. Section 2: Network Scripting and Packet Sniffing with Python
5. Socket Programming 6. HTTP Programming and Web Authentication 7. Analyzing Network Traffic and Packet Sniffing 8. Section 3: Server Scripting and Port Scanning with Python
9. Gathering Information from Servers with OSINT Tools 10. Interacting with FTP, SFTP, and SSH Servers 11. Working with Nmap Scanner 12. Section 4: Server Vulnerabilities and Security in Web Applications
13. Interacting with Vulnerability Scanners 14. Interacting with Server Vulnerabilities in Web Applications 15. Obtain Information from Vulnerabilities Databases 16. Section 5: Python Forensics
17. Extracting Geolocation and Metadata from Documents, Images, and Browsers 18. Python Tools for Brute-Force Attacks 19. Cryptography and Code Obfuscation 20. Assessments – Answers to the End-of-Chapter Questions
21. Other Books You May Enjoy
22. Index

Questions

As we conclude, here is a list of questions for you to test your knowledge regarding this chapter’s material. You will find the answers in the Assessments section of the Appendix:

  1. Which third-party platforms can be configured in SpiderFoot to extract information from external services?
  2. Which technique can be used to obtain the predictable URLs from a domain?
  3. Which method should be called and what parameters should be passed to obtain the records for name servers with the DNSPython module?
  4. Which project contains files and folders that contain patterns of known attacks that have been collected in various pentesting tests on web applications?
  5. Which module can be used to detect SQL injection-type vulnerabilities with the FuzzDB project?
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