Warlock continues to enhance its attack chain with new tactics to improve persistence, lateral movement, and defense evasion using an expanded toolset: TightVNC Yuze, and a persistent BYOVD technique leveraging the NSec driver.
Our analysis of an active KongTuke campaign deploying modeloRAT — malware capable of reconnaissance, command execution, and persistent access — through compromised WordPress sites and fake CAPTCHA lures shows that the group still operates this delivery chain in parallel with the newer CrashFix technique.
At [un]prompted 2026, TrendAI™ demonstrated how documents can be used to exploit AI-driven KYC pipelines and introduced FENRIR, an automated system for discovering AI vulnerabilities at scale.
The BoryptGrab campaign uses fake SEO‑optimized GitHub repositories and deceptive download pages to distribute a data‑stealing malware family that delivers multiple payloads, including a reverse SSH backdoor, to Windows users.
Tycoon 2FA was dismantled this week by law enforcement and industry partners including TrendAI™. The phishing-as-a-service platform offered MFA bypass services using adversary-in-the-middle (AitM) proxying.
We uncover how a campaign used Atlassian Jira Cloud to launch automated and targeted spam campaigns, exploiting trusted SaaS workflows to bypass security controls.
OpenClaw (aka Clawdbot or Moltbot) represents a new frontier in agentic AI: powerful, highly autonomous, and surprisingly easy to use. In this research, we examine how its capabilities compare to its predecessors’ and highlight the security risks inherent to the agentic AI paradigm.
PeckBirdy is a sophisticated JScript-based C&C framework used by China-aligned APT groups to exploit LOLBins across multiple environments, delivering advanced backdoors to target gambling industries and Asian government entities.
TrendAI™ Research provides a technical analysis of a compromised EmEditor installer used to deliver multistage malware that performs a range of malicious actions.
This blog entry provides an in-depth analysis of the multistage delivery of the Evelyn information stealer, which was used in a campaign targeting software developers.
The "bigger is better" era of AI is hitting a wall. We are in an LLM bubble, characterized by ruinous inference costs and diminishing returns. The future belongs to Agentic AI powered by specialized Small Language Models (SLMs). Think of it as a shift from hiring a single expensive genius to running a highly efficient digital factory. It’s cheaper, faster, and frankly, the only way to make agents work at scale.