The New Threat: AI-Assisted Botnets Are Here

According to a report from The Hacker News, cybersecurity researchers recently uncovered a new version of an Internet of Things botnet called TuxBot v3 Evolution. What makes this case unusual is that portions of the malware appear to have been written with help from a large language model, the same type of AI behind tools like ChatGPT.

This matters because it shows that cybercriminals are now experimenting with artificial intelligence to build attack tools faster. While the AI-generated code in this botnet had several flaws, the fact that a lone developer could create a multi-purpose attack system with encrypted command channels and brute-force capabilities is a warning sign for the entire security community.

Why Flawed Code Still Signals a Shift

The TuxBot developer reportedly forgot to remove an AI safety warning from the finished code. This kind of mistake is sloppy, but it should not give anyone false comfort. The real story here is the acceleration of development. One person, using an AI assistant, was able to stitch together code from older botnets and create a framework that targets routers, cameras, and other connected devices.

Even a broken botnet teaches its creator valuable lessons. The next version could fix those errors and work reliably. For Australian businesses, this means the barrier to creating dangerous malware is getting lower. Attackers no longer need deep programming skills to launch sophisticated campaigns against small and mid-sized targets.

What This Means for Australian SMBs

Small and mid-sized businesses in Australia often rely on cheaper Internet of Things devices like IP cameras, smart sensors, and network routers. These devices are exactly what the TuxBot botnet is designed to compromise. Once infected, they become part of a network that can be used to launch denial-of-service attacks or spread further into your main systems.

The rise of AI-assisted development means new botnet variants could appear faster than ever before. Traditional defenses that rely on known signatures may not catch these evolving threats in time. Australian SMBs need to shift their mindset from "will I be targeted?" to "when will I be targeted?" and build resilience accordingly.

What You Can Do Now

  • Audit every Internet of Things device on your network. Change default usernames and passwords, disable Telnet access if possible, and apply firmware updates as soon as they are released.
  • Segment your network so that IoT devices cannot communicate directly with your critical business systems, such as file servers or accounting software.
  • Monitor for unusual outbound traffic, especially from devices that should only communicate locally. A camera suddenly connecting to an unknown server is a red flag.
  • Implement strong password policies and enable multi-factor authentication for any remote access tools you use to manage devices or networks.
  • Train your staff to recognize basic indicators of compromise, such as slow internet performance that could signal a botnet infection consuming bandwidth.

At MS&VG, we help Australian small and mid-sized businesses build practical defenses against threats like these, from device hardening to 24/7 threat monitoring that can catch suspicious activity early.