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U of T researchers discover AI worm that can spread across online devices and hijack networks

By

Adina Bresge

16h ago· 8 min readenNews

FeedBagel synthesis

· 2 sources

Researchers from the University of Toronto, Vector Institute, University of Cambridge, and ServiceNow have developed a proof-of-concept AI-powered worm that can autonomously adapt and spread across computer networks. Hacker News reported that the worm, built using free, publicly accessible AI models, can seize control of entire networks and hijack computing power. According to coverage on bsky, in seven-day autonomous lab runs, the worm averaged 31.3 vulnerabilities found and 23.1 hosts exploited, with the authors warning that self-sustaining AI-driven cyber threats are no longer theoretical.

Summary

University of Toronto researchers have discovered a new class of cyberthreat — an AI-powered worm that can adapt its strategy as it spreads between devices. Built using free, publicly accessible AI models, this worm can seize control of entire networks and hijack computing power, posing a significant challenge to current cybersecurity defenses. The research, released June 2, is believed to be the first demonstration of such a threat.

Key quotes

· 3 pulled
The researchers, who released their work June 2, are believed to be the first to show that publicly accessible AI models can be used to power a worm that adapts its strategy as it spreads from one device to the next.
It can seize control of an entire network and hijack computing power to allow hackers to launch sophisticated attacks.
Every online device is a potential target. And current cyber defences are not yet ready for it.
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A team of researchers at the University of Toronto has discovered a new class of cyberthreat that gives hackers more power and reach at far less cost. It can be built with free AI models. Every online device is a potential target. And current cyber defenc

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