During a penetration test, you are tasked with automating the extraction of form field names from a collection of HTML files. Which programming language would be most efficient to employ for writing a script to perform this operation, considering its powerful libraries for parsing HTML and XML?
Python is the correct answer because it has powerful libraries such as Beautiful Soup and lxml, which are specifically designed for parsing and interacting with HTML and XML documents. These libraries make it easy to navigate the document tree and retrieve the information needed, such as form field names. Perl, while powerful in text manipulation, does not have as streamlined libraries for parsing HTML as Python. Ruby and JavaScript can also be used for parsing HTML, but Python's libraries and widespread usage for such tasks generally make it a more efficient choice in scenarios involving HTML parsing in penetration testing.
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What are Beautiful Soup and lxml?
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Why is Python preferred for automation in penetration testing?
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