Everybody knows about Python. It’s now the second-most popular programming language worldwide, having overtaken Java. Not only is it used widely for machine learning and data science, but it’s also easy to learn for beginner programmers because of its easy code syntax, mimicking the English language.![]

With such widespread use, of course, comes increased attacks and threats; malicious attackers are more likely to scope out Python vulnerabilities that they can exploit for numerous applications. If you use many third-party modules like dnspython or pip, or other open-source libraries, you could be introducing security risks to your application. In this article, we will first discuss some issues developers usually neglect and then look into the threats posed by outdated third-party modules.

Common Python Vulnerabilities

Why do they exist?

Example

Patch

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