logo

Smashing Security podcast #471: This AI worm just rewrote its own rules

ID: a89104d0-c0ea-5870-ba8e-535a694e5b4e

STIX ID: report--a89104d0-c0ea-5870-ba8e-535a694e5b4e

Feed Name: Graham Cluley

Threat Score
72/100

Date Published: 2026-06-10

Date Updated: 2026-06-11

Author: Graham Cluley

...
...

This Smashing Security podcast episode reviews multiple security stories: researchers at the University of Toronto built and tested an AI-driven adaptive worm capable of discovering exploits, spreading autonomously, and recruiting infected machines' compute for distributed AI tasks; Meta’s automated customer-support AI exposed a flaw enabling attackers to change account emails and seize high-profile Instagram accounts; AI tools have rapidly surfaced many new FFmpeg vulnerabilities; and separate stories include a leaked METV awards access key incident and a hijacked shipment theft. The discussion highlights the ease with which freely available models and modest coding can be combined to create powerful offensive capabilities and the resulting challenges for defenders.

Your team is not currently subscribed to this feed. You must subscribe to it in order to see this post.