University of Toronto researchers have built and tested a proof-of-concept AI-driven computer worm that uses a locally hosted open-weight large language model to reason its way through a network, generate tailored attack strategies for each target it encounters, and replicate itself, all without human intervention and without touching a commercial AI service. The preprint, posted to arXiv on

A malicious website can work out which sites you visit and which apps you open, using nothing but JavaScript and the timing of your SSD. The attack, called FROST, needs no native code, no extension, and no permission prompt. You open the page, leave the tab sitting there, and it watches the drive for contention in the background. Researchers at Graz University of Technology built it and

Security researchers have published a detailed, working exploit for a Linux kernel use-after-free that lets an unprivileged local user escalate to root and break out of a container. The flaw, CVE-2026-23111, sits in the kernel's nf_tables packet-filtering code and was patched upstream on February 5, 2026. Exodus Intelligence released its full technical walkthrough on June 8, and it is not even