JFrog’s security research team continuously monitors open-source software registries, proactively identifying and addressing potential malware and vulnerability threats to foster a secure and reliable ecosystem for open-source software development and deployment. This blog details a PyPI supply chain attack technique the JFrog research team discovered had been recently exploited in the wild.

Unsure which programming language to choose? Well, for a while, I was too! If you are like me, analysis paralysis can be a real pain… We have prepared a list with our top choices so you can stop wasting time and start taking action. Not only we’ll reveal the best language to web scrape, but we’ll also compare their strengths, weaknesses, and use cases, helping you make an informed decision. We won’t waste your time, as we have summarized everything for you.

Python static analysis, also known as "linting", is a crucial aspect of software development. It involves inspecting your Python code without running it to identify potential bugs, programming errors, stylistic issues, or non-adhering patterns to predefined coding standards. It also helps identify vulnerabilities early in the development process, reducing the chances of deploying insecure code into production.

When building an application that requires user authentication, implementing a secure login flow is critical. In this article, we'll walk through how we created a robust OAuth login flow for ggshield, our Python-based command line tool, to streamline the onboarding process for our users.

Flask is a powerful, lightweight, and versatile web framework for Python, that's designed to make it easy for developers to develop web applications quickly with minimal boilerplate code. It's a stand-alone microframework that doesn't need any additional libraries or tools and has no database abstraction layer.

Creating a Python package involves several actions, such as figuring out an apt directory structure, creating package files, and configuring the package metadata before deploying it. There are a few other steps that you need to follow including creating a subdirectory for tests and clear documentation. Once the package is ready, you can distribute it to various distribution archives. With that, your Python package will be ready for others to install and use.

Pickle in Python is primarily used in serializing and deserializing a Python object structure. In other words, it’s the process of converting a Python object into a byte stream to store it in a file/database, maintain program state across sessions, or transport data over the network. The pickled byte stream can be used to re-create the original object hierarchy by unpickling the stream. This whole process is similar to object serialization in Java or.Net.

Early on March 28, 2024, the Mend.io research team detected more than 100 malicious packages targeting the most popular machine learning (ML) libraries from the PyPi registry. Among those libraries are Pytorch, Matplotlib, and Selenium.

Python is a fast, platform-agnostic, and easy-to-learn programming language that is suited for beginners and experienced developers alike. Ever since its first release in 1991, Python has had a constant presence in the computer world and has become a go-to language thanks to its easy-to-understand code and versatility. Today, Python can boast a wide array of libraries and frameworks, and they are the cornerstone of fast and easy Python programming—the so-called Pythonic way of development.