Die neuesten Nachrichten

This report explores the aspects and considerations required to properly perform threat modeling within a Kubernetes environment, a piece of technology that many organizations worldwide rely on and a leading container orchestration platform.

We discuss proof-of-concept rootkits and malware used by cybercriminals in conjunction with Berkeley Packet Filtering (BPF), a piece of technology that allows programs to execute code in the operating systems of popular cloud-computing platforms. We also show how to detect such threats.

In this entry, we continue delving into an investigation of exposed registries and look at the types of files and information that malicious actors can access and compromise from these.

In our research, we demonstrate how easy it is to discover insecure deployments of MQTT, how to identify customers of these insecure deployments, what data is being transmitted, and explore how an attacker can potentially misuse the data or abuse the insecurity of MQTT brokers.

This report spotlights Akira, a novel ransomware family with highly experienced and skilled operators at its helm.

In this entry, we will discuss publicly exposed registries, which are repositories or databases containing information accessible to the public without the need for authentication.

We delve into three of the most active ransomware families that dominated the first half of 2023: LockBit, Clop, and BlackCat. This report features data from ransomware-as-a-service (RaaS) and extortion groups’ leak sites, Trend Micro’s open-source intelligence (OSINT) research, and the Trend Micro™ Smart Protection Network™, collected from Jan. 1 to June 30, 2023.

In our first installment of a four-part series on post-quantum cryptography, we discuss contemporary cryptography and what defenders should know when it comes to developing a quantum-resistant cryptography plan.

In our previous entry, we examined how credentials were being stored and logged in cleartext on compute instances (CIs) created in Azure Machine Learning (AML) service and the risks posed by the same. This article examines an information disclosure bug we found in one of the cloud agents used in the AML service and sheds light on the importance of threat modeling the agents’ features to uncover silent and hidden attack surfaces.