By Mohit

This booklet is a realistic consultant that exhibits you the benefits of utilizing Python for pentesting with the aid of targeted code examples.

We commence via exploring the fundamentals of networking with Python after which continue to community hacking. subsequent, we delve into hacking the applying layer the place we commence with collecting details from an internet site. We then flow directly to strategies regarding site hacking reminiscent of parameter tampering, DDoS, XSS, and SQL injection.

By analyzing this booklet, you are going to study various strategies and methodologies that would familiarize you with the paintings of pentesting in addition to developing automatic courses to discover the admin console, SQL injection, and XSS assault.

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Extra info for Python Penetration Testing Essentials

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If this test passes, then the function returns the valid path; otherwise, it will raise the appropriate exception. The second validation function ValHash is much simpler, and it reveals a nice feature of the Python language. Since the set of legal strings are known MD5, SHA1…, we can validate that the string passed to the function is contained in the List of legal values, essentially with a single line of Python code: Reading this line of code like English: Are the contents of the “theAlg” contained in the list of possible values?

8)ŠEnsure that the output includes a forensic log that includes details of the processing performed by the script. (9)ŠEnsure that the date and time of the computer running the script is synchronized with an official source and documented. (10)ŠEnsure that information such as the script version, author, investigator, and case identifying information are included in the output of the script. (11)ŠTest, test, test, and retest before processing actual case data. Following these steps will ensure that when (not if) integration with forensic platforms changes, your ability to adapt your scripts to integration methods will be straightforward.

Review In this chapter, we outlined the objectives of the book, provided additional resources for further study and learning of Python. The chapter also addresses the value proposition for using an open source programming language for forensic applications. In addition, we identified the specific forensic platforms that will be covered in this text. We also identified the key integration points that will be considered for each platform. Finally, we provided some of the key considerations or guidelines for the successful integration of Python scripts with forensic platforms today and in the future.

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