New MITRE ATLAS submission helps strengthen organisations’ cyber resilience

Trend™ Research has been tracking an active APT threat actor named Earth Lamia, targeting multiple industries in Brazil, India and Southeast Asia countries at least since 2023. The threat actor primarily exploits vulnerabilities in web applications to gain access to targeted organisations.

We have detected a new tactic involving fake CAPTCHA pages that trick users into executing harmful commands in Windows. This scheme uses disguised files sent via phishing and other malicious methods.

Learn how Trend is combining agentic AI and digital twin to transform the way organisations protect themselves from cyber threats.

Together, we are focused on securing the full AI lifecycle—from development and training to deployment and inference—across cloud, data centre, and AI factories.

Get a sneak peak into how Trend Micro's Pwn2Own Berlin 2025 is breaking new ground, focusing on AI infrastructure and finding the bugs to proactively safeguard the future of computing.

Trend™ Research discusses the evolving tradecraft of threat actor Earth Ammit, proven by the advanced toolset used in its TIDRONE and VENOM campaigns that targeted the drone supply chain.

This review summarises the key insights shared during the webinar held on April 9th, which featured maritime cybersecurity experts discussing the growing challenges facing ports, logistics operations, and global supply chains.

During our monitoring of Agenda ransomware activities, we uncovered campaigns that made use of the SmokeLoader malware and a new loader we've named NETXLOADER.

What is PLeak, and what are the risks associated with it? We explored this algorithmic technique and how it can be used to jailbreak LLMs, which could be leveraged by threat actors to manipulate systems and steal sensitive data.

This blog discusses the latest modifications observed in Earth Kasha’s TTPs from their latest campaign detected in March 2025 targeting Taiwan and Japan.

Trend Research uncovered misconfigurations in NVIDIA Riva deployments, with two vulnerabilities, CVE-2025-23242 and CVE-2025-23243, contributing to their exposure. These security flaws could lead to unauthorised access, resource abuse, and potential misuse or theft of AI-powered inference services, including speech recognition and text-to-speech processing.