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A study by the University of Toronto shows how artificial intelligence can power autonomous worms capable of tailoring attacks against Windows, Linux and IoT devices. A group of researchers from the University of Toronto has demonstrated how open-source artificial intelligence models can be used to create a new category of computer worms capable of autonomously […]

Malware isn’t just trying to hide anymore—it’s trying to belong. We’re seeing code that talks like us, logs like us, even documents itself like a helpful teammate. Some threats now look more like developer tools than exploits. Others borrow trust from open-source platforms, or quietly build themselves out of AI-written snippets. It’s not just about being malicious—it’s about being believable.

What do a source code editor, a smart billboard, and a web server have in common? They’ve all become launchpads for attacks—because cybercriminals are rethinking what counts as “infrastructure.” Instead of chasing high-value targets directly, threat actors are now quietly taking over the overlooked: outdated software, unpatched IoT devices, and open-source packages. It's not just clever—it’s