News & Updates

This report looks into the notable email threats of 2023, including the 45,261,542 high-risk email threats we detected and blocked using the Trend Micro™ Cloud App Security solution, also referred to as Trend Vision One™ — Email and Collaboration Protection solution, which is part of the Trend Vision One Email and Collaboration Security suite.

Generative AI continues to be misused and abused by malicious individuals. In this article, we dive into new criminal LLMs, criminal services with ChatGPT-like capabilities, and deepfakes being offered on criminal sites.

The LockBit intrusion set, tracked by Trend Micro as Water Selkie, has one of the most active ransomware operations today. With LockBit’s strong malware capabilities and affiliate program, organizations should keep abreast of its machinations to effectively spot risks and defend against attacks.

The landscape of ransomware attacks in the first quarter of 2024 presents new insights and shifts in tactics among cybercriminal groups. This report shows key players, targeted sectors, and geographic distributions of attacks by ransomware groups, both notorious and relatively new.

Container Advisor (cAdvisor) is an open-source monitoring tool for containers that is widely used in cloud services. It logs and monitors metrics like network input/output (I/O), disk I/O, and CPU usage. However, misconfigured deployments might inadvertently expose sensitive information, including environment variables such as Prometheus metrics. In this article, we share our findings of the risks we have uncovered and the vulnerable configurations users need to be aware of.

Despite positioning themselves as penetration testers, 8Base ransomware threat actors profit off their victims that are significantly comprised of small businesses. In this feature, we investigate how the gang operates to gain insights on how organizations can protect systems better from compromises that could result in financial loss.  

In the latest installment of our ongoing series where we identify and investigate security flaws in Azure Machine Learning (AML), we explore how cybercriminals could manage to covertly gain persistence in AML workspaces.

Although a legitimate approach, sidecar containers can add even more complexity to Kubernetes (K8s) clusters, not only making it harder to manage but also to detect compromises. This article demonstrates that attackers can leverage the sidecar injection technique after compromising a K8s cluster to remain stealthy and avoid detection, and how to protect K8s clusters from this malicious activity.

This article discusses two O-RAN vulnerabilities that attackers can exploit. One vulnerability stems from insufficient access control, and the other arises from faulty message handling