Research examines attack methods, defenses, and vulnerabilities, helping security teams understand risks and improve protection.
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Background for this topic.
Research is the systematic study of technologies, systems, attack methods, vulnerabilities, and defensive techniques to establish evidence and produce new findings. In information security, it includes work such as discovering flaws in software or protocols, analyzing malware and attacker behavior, testing cryptographic designs, and evaluating security controls. News under this tag may describe a proof of concept, a measurement study, or a proposed technique rather than a confirmed real-world attack.
For practitioners, research can change how risks are prioritized and mitigated. A demonstrated vulnerability may require vulnerability-management teams to verify affected assets, apply fixes, or add compensating controls; responsible disclosure gives developers time to assess and remediate before technical details enable exploitation. Research involving live systems, personal data, or offensive tooling also raises privacy, authorization, dual-use, and ethical concerns. Sound findings should state their assumptions, scope, limitations, and reproducibility, since laboratory results do not automatically show that an attack is practical in every environment.
Weekly headline count for the current query.
TrendAI™ Research analyzed over 200 Gemini CLI session logs showing how a Russian-speaking threat actor used AI to run a live botnet, finishing a full C&C migration in six minutes while doing just 11% of the work himself.
In this blog entry, TrendAI™ Research examines a wave of phishing emails observed in May 2026 that targeted Japanese accommodation facilities using Booking.com, detailing the victims, attack techniques used, and characteristics of the malware involved.
TrendAI™ Research analyzed an intrusion where threat actors used the EtherHiding technique to route ClearFake payload delivery through smart contracts on the BNB Smart Chain testnet. The attack chain ended with two simultaneously deployed stealers, SectopRAT and ACRStealer alongside an on-chain execution tracker that confirmed each victim compromise in real time.
In this blog entry, researchers from the TrendAI™ MDR team discuss how they mapped the full end-to-end operation of SHADOW-WATER-063’s Banana RAT banking malware by analyzing server-side artifacts and victim-side data.
Our research examines the April 22 Checkmarx KICS and April 24 elementary-data incidents as part of a broader TeamPCP supply chain campaign. Across both cases, the actor abused trusted CI/CD and release workflows to steal credentials at scale.
TrendAI™ Research has identified two emerging threat campaigns—SHADOW-AETHER-040 and SHADOW-AETHER-064—that use agentic AI to drive intrusion operations against government and financial organizations in Latin America, marking these among the first cases we have observed of AI agents executing attacks from initial access to data exfiltration.
TrendAI™ Research breaks down Quasar Linux (QLNX), a previously undocumented sophisticated Linux RAT with low detection rates. In this blog, we examine a full-featured Linux threat incorporating a rootkit, a PAM backdoor, credential harvesting, and more, revealing how this malware enables stealthy access, persistence, and potential supply-chain attacks.
Our research on Void Dokkaebi’s operations uncovered a campaign that turns infected developer repositories into malware delivery channels. By spreading through trusted workflows, organizational codebases, and open-source projects, the threat can scale from a single compromise to a broader supply chain risk.
TrendAI™ Research explored agentic AI cybercrime and EV infrastructure security through two research sessions at RSAC 2026.
This blog discusses the steganography, cloud abuse, and email-based backdoors used against the Ukrainian defense supply chain in the latest Pawn Storm campaign that TrendAI™ Research observed and analyzed.
Learn how TrendAI™ and our researchers contributed threat intelligence and analysis to support INTERPOL against cybercrime.
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.
Discover how TrendAI Zero Day Initiative (ZDI) identified critical vulnerabilities across connected vehicles, EV chargers, and automotive systems.
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 discusses notable modern TTPs observed from SHADOW-AETHER-015 and Earth Preta, from TrendAI Research™ monitoring and TrendAI Vision One™ intelligence. These findings support the performance of TrendAI™ in the 2025 MITRE ATT&CK Evaluations.
In this blog entry, Trend™ Research provides a comprehensive breakdown of GhostPenguin, a previously undocumented Linux backdoor with low detection rates that was discovered through AI-powered threat hunting and in-depth malware analysis.
In this blog entry, Trend™ Research explores how ransomware actors are shifting their focus to cloud-based assets, including the tactics used to compromise business-critical data in AWS environments.
In this blog entry, Trend™ Research analyses the layered command-and-control approaches that Lumma Stealer uses to maintain its ongoing operations while enhancing collection of victim-environment data.
Trend™ Research identified a sophisticated Agenda ransomware attack that deployed a Linux variant on Windows systems. This cross-platform execution can make detection challenging for enterprises.
Trend™ Research examines the complex collaborative relationship between China-aligned APT groups via the new “Premier Pass-as-a-Service” model, exemplified by the recent activities of Earth Estries and Earth Naga.