Create an algorithm to detect malicious URLs given a data set of URLs.

Data Set of 200 URLs
user
My algorithm for detecting malicious URLs involves first checking for any URLs that have suspicious characters or strings in them, such as %@&, HTML codes, and IP addresses, which could point to a malicious website. Second, I would use machine learning to identify and isolate any URLs in the data set that have been previously marked as malicious by cybersecurity analysts or malicious URL databases. Third, I would utilize natural language processing to detect any URLs with questionable grammar and spelling, which could indicate a spoof website. Lastly, I would use a web crawler to analyze each URL in the content, links, and other resources of the website to identify any suspicious activity or content.
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