Remote Access Trojans (RATs) continue to be one of the most actively traded malware categories across dark web forums. Their appeal lies in flexibility: a single framework can support espionage, credential theft, ransomware staging, or long-term persistence. Recently our team Identified a dark web actor advertised a tool called“noobsaiBOT”, claiming it to be a fully custom, stealth- focused RAT with source code included, priced at$20,000 and offered as a one-time exclusive sale.

The cybersecurity landscape isn’t just shifting; it’s undergoing a radical metamorphosis. As we look toward 2026, the era of the “script kiddie” is officially over. Today, we face sophisticated AI-driven syndicates and automated botnets that probe vulnerabilities at machine speed. For modern enterprises, the question has shifted from“if” an attack will happen to“how much” of your D igital footprint is already sitting on a dark web forum.

LinkedIn was never designed to be hostile. That’s precisely why it’s become attractive to attackers.

In the current AI gold rush, teams are rapidly standing up automation, AI orchestration, and integration platforms to move faster. In many cases, speed comes at the expense of visibility and security. This is where external attack surface management becomes critical. IONIX can identify and continuously monitor a wide range of AI-related and automation assets exposed to the internet, helping organizations understand what they are running, where it is exposed, and what risks it introduces.