The JFrog Security research team has recently discovered two security vulnerabilities in X.Org libX11, the widely popular graphics library – CVE-2023-43786 and CVE-2023-43787 (with a high NVD severity CVSS 7.8). These vulnerabilities cause a denial-of-service and remote code execution. X11’s latest versions contain fixes for these vulnerabilities.
Today, we’re excited to announce a new integration with Amazon SageMaker! SageMaker helps companies build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. By leveraging JFrog Artifactory and Amazon SageMaker together, ML models can be delivered alongside all other software development components in a modern DevSecOps workflow, making each model immutable, traceable, secure, and validated as it matures for release.
TL;DR: JFrog’s ML Model Management capabilities, which help bridge the gap between AI/ML model development and DevSecOps, are now Generally Available and come with a new approach to versioning models that benefit Data Scientists and DevOps Engineers alike. Model versioning can be a frustrating process with many considerations when taking models from Data Science to Production.
The security of the software supply chain is rapidly becoming a paramount concern for organizations — and for good reason. With the increasing number of published Common Vulnerabilities and Exposures (CVEs), developers face the challenge of delivering software faster than ever before. However, in their quest for speed, many dev and security teams have resorted to fragmented security solutions, inadvertently leaving critical gaps in coverage and compromising their competitive advantage.
In December 2022, the US Cybersecurity and Infrastructure Security Agency (CISA) identified exploits against vulnerable public-facing applications as the most common initial attack vector for cybercriminals, followed by attacks on external remote services such as VPNs. According to a study by CrowdStrike, exploit activity targeting cloud apps and assets grew 95% from 2021 to 2022, and instances of threat actors directly targeting cloud apps exploded by 288% during that period.
The SSH Terrapin attack (CVE-2023-48795) has recently caught attention, targeting the SSH protocol security by truncating cryptographic information. The inherent flaw in the SSH protocol itself affects a wide range of SSH client and server implementations. Following our initial research communication, this post will detail its fundamentals and impact.
In the fast-paced environment of cloud-native apps, security and seamless connections are a priority. Many DevOps and SecOps professionals use Kubernetes native features to handle their container security, keeping a tight grip on access and secrets to improve security posture. The integration between AWS AssumeRole and JFrog Access in Amazon Elastic Kubernetes Services (EKS), enhances enterprise security by automating secrets management.
Software package hijacking has become a prominent concern for individuals, businesses, and the cybersecurity community at large. We’ve seen this new threat trend rise over the past couple of years, with the potential to severely impact the software supply chain by attackers exploiting software packages to execute malicious code. This blog post details a case study conducted by our security research team, in an effort to trace the typical time before a package hijack is detected.
