By Jason Andress, Ryan Linn
Tools used for penetration trying out are frequently bought or downloaded from the web. each one software relies on a programming language equivalent to Perl, Python, or Ruby. If a penetration tester desires to expand, increase, or switch the performance of a device to accomplish a try otherwise than the default configuration, the tester needs to be aware of the fundamentals of coding for the comparable programming language. Coding for Penetration Testers presents the reader with an figuring out of the scripting languages which are popular while constructing instruments for penetration trying out. It additionally courses the reader via particular examples of customized instrument improvement and the occasions the place such instruments will be used. whereas constructing a greater knowing of every language, the reader is guided via real-world situations and power improvement that may be included right into a tester's toolkit.
* Discusses using a number of scripting languages in penetration testing
* provides step by step directions on tips on how to construct custom-made penetration checking out instruments utilizing Perl, Ruby, Python, and different languages
* offers a primer on scripting together with, yet no longer constrained to, net scripting, scanner scripting, and exploitation scripting
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Additional resources for Coding for Penetration Testers: Building Better Tools
Example 14-16. 14 The dircache Module (Obsolete) The dircache module contains a function to get a list of files in a directory. listdir function in that it keeps a cache to avoid rereading a directory that hasn't been modified. Example 14-17 demonstrates this. Example 14-17. 2) The dircmp module provides a class that can be used to compare the contents of two disk directories, as Example 14-18 shows. Example 14-18. 0 and later, this module has been replaced by filecmp. 9 The UserList Module The UserList module contains a list class that can be subclassed (simply a Python wrapper for the built-in list type).
2 and earlier, the string module uses functions from the strop implementation module where possible. 6 and later, most string operations are made available as string methods as well, as shown in Example 1-52. Many of the functions in the string module are simply wrapper functions that call the corresponding string method. Example 1-52. count("n") upper => MONTY PYTHON'S FLYING CIRCUS lower => monty python's flying circus split => ['Monty', "Python's", 'Flying', 'Circus'] join => Monty+Python's+Flying+Circus replace => Monty Perl's Flying Circus find => 6 -1 count => 3 In addition to the string-manipulation capabilities offered by string, the module also contains a number of functions that convert strings to other types (as Example 1-53 demonstrates).
0 See the Python Library Reference for a full list of functions. 10 The cmath Module The cmath module shown in Example 1-61 contains a number of mathematical operations for complex numbers. Example 1-61. 14159265359 sqrt(-1) => 1j See the Python Library Reference for a full list of functions. 11 The operator Module The operator module provides a "functional" interface to the standard operators in Python. The functions in this module can be used instead of some lambda constructs, when processing data with functions like map and filter.