Secure Coding Practices with Python
Having covered numerous aspects of offensive and defensive security using Python and its various use cases, it’s now crucial to focus on writing secure code. When building tools and applications, there’s a significant risk of creating vulnerabilities that could undermine all our efforts to secure our organization. This chapter will explore essential Secure Coding Practices in Python to ensure that our applications are robust and resilient against potential threats. By prioritizing security in our coding practices, we can better protect our applications and, by extension, our organization.
In this chapter, we’re going to cover the following main topics:
- Understanding secure coding fundamentals
- Input validation and sanitization with Python
- Preventing code injection and execution attacks
- Data encryption and Python security libraries
- Secure deployment strategies for Python applications
