Two decades ago, found only thousands of malware samples but now, the AV test reports identified 350000 new samples every day. This problem makes security a crucial part of product development.
What is Secure Coding?
The coding term means developing a programming language that protects against the initiation of vulnerabilities into the source code, including bugs, defects, and logic flaws. The use of secure coding helps to avoid dealing with a vulnerability that exploits down the line. It’s approximately eliminating vulnerabilities in source code, thus restricting take advantage of flaws.
What is Python?
Python is high – a level programming language that offers a lot of flexibility and freedom to design your codebase the way you need it.
When developing software, writing code is essential for securing confidential data and maintaining the correct software structure. Writing the security code can be a challenging task, and the developers are also not 100% sure of the security of the code.
It does not matter how the small application is developed or how skilled the developer is. Still, there is always the possibility of security damage to steal money from the users.
Why is Coding with Python secured?
Unlike any other language, Python has fewer difficulties like memory leaks and buffer overflow, which are much easier to avoid in Python. This is in the evaluation of the usage of languages like C or C++. Python automatically removes all the garbage collection and old dead items from memory.
However, Python has vulnerabilities of its own which can address with the best practices below:
Sanitize Inputs
Python is simply as liable to injection attacks as every other language. Injection attacks occur while malicious code is inserted through dangerous user input. Your program receives any difficulty at any time, and the users are deal with it. At that time, the problem of security risk arises. For this problem, the best way solution is to deal with sanitizing user inputs.
As the string inputs prompt, this danger can stem from SQL injections, and this injection is used to obtain benefits and access that can lead to further breaches. There are various ways available to misuse your data.
The sanitizing inputs refer to the removal of harmful substances or unexpected script commands from the information. There is only a single theme for taking back the input and checking what you must be.
Avoid Dangerous Function
Two types of functions lead to dangerous vulnerabilities: Code Injector; and Command Injector.
The code injector uses the user input and interprets it as code. However, the command injector is used to run the application from the command line from within an application.
In the code injector, the usable functions are eval () and exec (). These functions are easily reachable but can be tempting to use, and it also creates a significant risk. If you are using it must sanitize your input before using it.
In the command injector, the sub-process is mainly used module, and it is used to create or run a new program within an existing one.
Remove Implicit Relative Imports
If you are using python 2, a significant risk comes from using it in relative imports. But in Python 3, the relative significance must be explicit. The problem lies in the truth that this function finds the primary example of the module’s name.
Always remember that packages installed through Python packaging Index (PyPI) are not always scanned malware. You must check that everything installed is secured for use.
Scan Code
There are various programs available to scan your code which saves your time after release. One of the valuable tools is Bandit, which is an open-source program distributed by PyPI.
This tool is suitable for finding common security issues, and it is quick and easy to configure your particular needs. Once you discover the problem, use this vulnerability database to learn about it more and check the level of severity and priority fixes accordingly.
Conclusion
Security strategies are becoming greater sophisticated. Unfortunately, attackers hold to have fulfillment getting around those methods. Thankfully, there may millions of malicious attacks and primarily fall into one of some categories.