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.

The rapid rise of artificial intelligence, more specifically, generative AI systems such as OpenAI’s ChatGPT, has simultaneously spurred intense development and concern over the past year. On the 30th of October, President Joe Biden signed an Executive Order that urges new federal standards for AI development, safety, security, and trustworthiness that also address many other facets of AI risk.