Aqua Cloud Native Blog › Tags: Image Vulnerability Scanning

A prospect’s CISO recently asked me: “I’m facing a growing stream of vulnerabilities coming from our CI/CD pipelines on the one hand, while our SecOps team is flooded with alerts and configuration issues from our production environment. How do I reconcile those separate streams and focus on what’s really important?” “Well,” I responded, “funny you …

With the rise in attacks targeting the supply chain of cloud native applications, it’s important to understand how you can prepare for and stifle risks that enter your environments through third-party packages and tools. This post outlines the top software supply chain security best practices that should be included in any organization’s cloud native strategies.

Many companies, in an effort to modernize their software and cloud tech stacks, are beginning to confront the challenges of managing security across multiple cross-functional, yet independent, teams – each with diverse tech stacks. One such example is Thoughtworks, a leading global technology consultancy that works with enterprises to enable them to keep pace with …

A key element in building secure containerized applications is to ensure that the base image that you use is well-maintained and secure. A common piece of advice is to use the Docker Official Images for this purpose. However, our research reveals that you need to be careful when using these images, as some are no …

Trivy is a comprehensive, easy-to-use open source vulnerability scanner for container images. Since its introduction two years ago, the project has gained a broad following among open source community members. I’m excited to share that it has now become the first container image vulnerability scanner to surpass 8,000 GitHub stars, making it the world’s leading …

One of the great security benefits of the move to cloud native development is the increased use of Infrastructure as Code (IaC) to describe computing environments. Once things are described as code, we can shift left and secure our environments before they’re deployed. As a major new feature, the latest version of Trivy, Aqua’s open …

Anyone looking to improve the security posture of their cloud native applications knows that a vulnerability scanner is an important tool to add to the toolkit. Automating vulnerability scanning into your build pipeline can reduce the likelihood of successful attacks and help protect your containerized workloads. There are many scanning tools available today, both open …

Java Debug Wire Protocol (JDWP) is a great way to remotely debug applications during development. However, if enabled when shipped to production, hackers can exploit this mistake by running an arbitrary code that allows initial access or privilege escalation in your production environment. Using Aqua’s Dynamic Threat Analysis (DTA) scanner, we at Team Nautilus detected …

In September 2020, Aqua’s Team Nautilus detected a campaign that targeted the automated build processes of GitHub and Docker Hub. At that time we notified the affected services and they blocked the attack. Now, this campaign has resurfaced with vengeance. In just four days, the attackers set up 92 malicious Docker Hub registries and 92 …

If you’re looking to improve the security posture of your Kubernetes applications, you can get a lot of bang for your buck with vulnerability scanning. In this blog, I’ll talk about the fundamentals of scanning container images: how to pick a vulnerability scanner, when to use it in the application pipeline, and why you should …

Amazon continues to build new capabilities into its serverless operational mode and has launched container image support in AWS Lambda. It enables packaging and deploying Lambda functions as container images. Building on our strong partnership with AWS and our desire to offer the most complete cloud-native security solution, Aqua Security now includes advanced security capabilities …

With an ever-evolving threat landscape, bad actors increasingly target container infrastructure, installing sophisticated malware into images that changes its behavior to evade detection. As static scanning is not designed to spot such advanced threats, it’s critical to perform dynamic analysis to detect suspicious behavior in real time.