Job seekers looking out for opportunities might instead find their personal devices compromised, as a ValleyRAT campaign propagated through email leverages Foxit PDF Reader for concealment and DLL side-loading for initial entry.

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 has identified an active campaign spreading via WhatsApp through a ZIP file attachment. When executed, the malware establishes persistence and hijacks the compromised WhatsApp account to send copies of itself to the victim’s contacts.

Trend™ Research analyzed source binaries from the latest activity from notorious LockBit ransomware with their 5.0 version that exhibits advanced obfuscation, anti-analysis techniques, and seamless cross-platform capabilities for Windows, Linux, and ESXi systems.

An analysis of the Gentlemen ransomware group, which employs advanced, adaptive tactics, techniques, and procedure to target critical industries worldwide.

Crypto24 is a ransomware group that stealthily blends legitimate tools with custom malware, using advanced evasion techniques to bypass security and EDR technologies.

We uncovered a campaign that makes use of Charon, a new ransomware family, and advanced APT-style techniques to target organizations with customized ransom demands.

We examine the past tactics used by UNC3886 to gain insight on how to best strengthen defenses against the ongoing and emerging threats of this APT group.

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.

This blog entry details research on emerging ransomware group CrazyHunter, which has launched a sophisticated campaign aimed at Taiwan's essential services.

In this blog entry, we uncovered a campaign that uses fake GitHub repositories to distribute SmartLoader, which is then used to deliver Lumma Stealer and other malicious payloads. The campaign leverages GitHub’s trusted reputation to evade detection, using AI-generated content to make fake repositories appear legitimate.