Checking Vulnerabilities in Your Python Code with Bandit. Do you know yet? If you are still wondering about it then this article is for you.
As developers, we're encouraged from the start of the journey to write clean code. Equally as important, but less talked about is writing and using secure code.
In Python projects, we typically install modules and third-party packages to avoid developing solutions that already exist. However, this common practice is why hackers exploit dependencies to wreak havoc in our software, and why we need to be able to detect when something is amiss. As such, we use tools like Bandit, an open-source security analysis utility for Python projects.
In this guide - we'll explore how simple lines of code can end up being destructive, and how we can use Bandit to help us identify them
In this post, we'll learn top 30 Python Tips and Tricks for Beginners
You can learn how to use Lambda,Map,Filter function in python with Advance code examples. Please read this article
Cybercrime is one of the world’s fastest-growing threats, with malicious actors constantly elaborating their methods of undetectable intrusion. According to Verizon’s Business 2020 Data Breach Investigations report, there has been a 100% increase in web app breaches, and stolen credentials were used in more than 80% of these cases. These statistics are worrying for many businesses that actively move their processes to the cloud and deal heavily with customers’ personal data.
In this article, take a look at ten cyber security tools to watch out for in 2021, including NMap, Wireshark, Metasploit, and more!
Advance Web Penetration Testing Tool For Python. What's so special about it? Why is it used by so many professionals? Read this article to the end and you will understand.