#botnet

Most of this week’s threats didn’t rely on new tricks. They relied on familiar systems behaving exactly as designed, just in the wrong hands. Ordinary files, routine services, and trusted workflows were enough to open doors without forcing them. What stands out is how little friction attackers now need. Some activity focused on quiet reach and coverage, others on timing and reuse. The emphasis

In cybersecurity, the line between a normal update and a serious incident keeps getting thinner. Systems that once felt reliable are now under pressure from constant change. New AI tools, connected devices, and automated systems quietly create more ways in, often faster than security teams can react. This week’s stories show how easily a small mistake or hidden service can turn into a real

The Black Lotus Labs team at Lumen Technologies said it null-routed traffic to more than 550 command-and-control (C2) nodes associated with the AISURU/Kimwolf botnet since early October 2025. AISURU and its Android counterpart, Kimwolf, have emerged as some of the biggest botnets in recent times, capable of directing enslaved devices to participate in distributed denial-of-service (DDoS)

Researchers detailed a souped-up version of the GoBruteforcer botnet that preys on servers with weak credentials and AI-generated configurations.

This week made one thing clear: small oversights can spiral fast. Tools meant to save time and reduce friction turned into easy entry points once basic safeguards were ignored. Attackers didn’t need novel tricks. They used what was already exposed and moved in without resistance. Scale amplified the damage. A single weak configuration rippled out to millions. A repeatable flaw worked again and

A new wave of GoBruteforcer attacks has targeted databases of cryptocurrency and blockchain projects to co-opt them into a botnet that's capable of brute-forcing user passwords for services such as FTP, MySQL, PostgreSQL, and phpMyAdmin on Linux servers. "The current wave of campaigns is driven by two factors: the mass reuse of AI-generated server deployment examples that propagate common

Our first story of 2026 revealed how a destructive new botnet called Kimwolf rapidly grew to infect more than two million devices by mass-compromising a vast number of unofficial Android TV streaming boxes. Today, we'll dig through digital clues left behind by the hackers, network operators, and cybercrime services that appear to have benefitted from Kimwolf's spread.

Synthient discovers over 2 million Android TV boxes and smart TVs hijacked by the Kimwolf botnet. Learn how hackers are using home devices to launch DDoS attacks and how you can protect your home network.

The botnet known as Kimwolf has infected more than 2 million Android devices by tunneling through residential proxy networks, according to findings from Synthient. "Key actors involved in the Kimwolf botnet are observed monetizing the botnet through app installs, selling residential proxy bandwidth, and selling its DDoS functionality," the company said in an analysis published last week. Kimwolf

Recent attacks are targeting Next.js servers and pose a significant threat of cryptomining, botnet payloads, and other malicious activity to IoT networks and enterprises.