Summary
- While developers often prioritise writing clean and maintainable code, securing applications must be a high priority, too, warns this Medium article.
- It advods that in an age of high-profile data breaches, ignoring security measures is no longer an option.
- The article offers tips for securing Python applications, including:
- Securing dependencies by keeping abreast of updates and fixes and knowing which elements are no longer supported;
- Using virtual environments to protect dependencies and avoid pollution of global packages;
- Protecting sensitive data by using encryption; and
- Implementing protections against injection attacks.
- Other tips cover handling XML parsers, avoiding remotable code execution, and secure deployment practices.
By Roman Huliak
Original Article