In this post, we explore a powerful, yet widely unknown attack vector which has emerged in the last couple of years known as ‘Repo Jacking’. During our research, we discovered the enormous potential to compromise software components with tens of millions of downloads across the Terraform IaC (Infrastructure as Code) and Composer (PHP package registry) ecosystems. Despite its power, Repo Jacking remains under-researched and frequently misunderstood.

If you’ve been searching for guides and tutorials on getting started with Deno web development in a cloud IDE such as GitHub Codespaces, you’ve come to the right place. In this post, we will be exploring the world of Deno, GitHub Codespaces, and Dev Containers, providing you with the knowledge you need to set up your development environment effectively and efficiently in the cloud.

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.

This story starts when Sébastien Lorber, maintainer of Docusaurus, the React-based open-source documentation project, notices a Pull Request change to the package manifest. Here’s the change proposed to the popular cliui npm package: Specifically, drawing our attention to the npm dependencies change that use an unfamiliar syntax: Most developers would expect to see a semver version range in the value of a package or perhaps a Git or file-based URL.

Amazon Web Services (AWS) Simple Storage Service (S3) has become a cornerstone in the world of cloud storage. It offers scalability, high availability, and performance, making it a go-to choice for businesses of all sizes. However, as with any cloud service, security is paramount. This is where the question of "how to secure an S3 bucket" comes into play. Securing your S3 buckets is not just about protecting your data from unauthorized access.

In today's increasingly digital world, where businesses rely heavily on technology for core operations, the European Union's Digital Operational Resilience Act (DORA) establishes a comprehensive framework to manage Information and Communication Technology (ICT) related risks and ensure business continuity for financial institutions and critical service providers.

A week before RSA 2024, Forrester predicted which subjects and themes would come to the forefront of the conference. They emphasized that we’d see a focus on proactive security, defined as “a strategic approach to controlling security posture and reducing breaches through strong visibility, prioritization, and remediation.” I went into the conference with this prediction in mind. However, I was surprised by what I found.

As developers, we often have to work with REST APIs when we integrate with third-party systems or connect between frontend and backend systems at work. APIs, and REST APIs in particular, are a fundamental part of modern web applications, allowing us to create, read, update, and delete data over HTTP. However, as with any technology, they come with their own set of security challenges. Let's break these challenges down and understand how to secure REST API applications.

On June 25, 2024, the Sansec security research and malware team announced that a popular JavaScript polyfill project had been taken over by a foreign actor identified as a Chinese-originated company, embedding malicious code in JavaScript assets fetched from their CDN source at: cdn.polyfill.io. Sansec claims more than 100,000 websites were impacted due to this polyfill attack, including publicly traded companies such as Intuit and others.

As we enter the age of AI, we’ve seen the first wave of AI adoption in software development in the form of coding assistants. Now, we’re seeing the next phase of adoption take place, with organizations leveraging increasingly widely available LLMs to build AI-enabled software. Naturally, as the adoption of LLM platforms like OpenAI and Gemini grows, so does the security risk associated with using them.