So get ready to brace yourselves — researchers at University of Toronto have just demonstrated a fully autonomous AI-powered worm capable of tearing through networks without any human intervention! The team used open-weight (open-source) models to power the prototype, and what's wild is that it doesn't wait for programmers to pre-program which specific flaws it should target. Instead, as this thing spreads across different types of machines — Linux, Windows, AND IoT devices simultaneously — it tails its attack strategy in real-time based on whatever vulnerabilities it discovers along the way. It even siphons processing power from infected hosts back into itself so it can keep reasoning and improving for future attacks while running completely independently!
What blew my mind reading through Steve Dent's piece over at Engadget was how cheap this gets once you actually launch: lead author Nicolas Papernot pointed out that human hackers typically had to prioritize their most valuable targets because computing resources were limited, but now the cost drops to nearly zero. The worm even gathers passwords and uncovers additional vulnerabilities as it moves through your network, which means if someone patches an infection on a specific machine mid-spread, this thing can just exploit *other* flaws in that same host instead of giving up entirely. This is absolutely terrifying thinking about bad actors adapting the blueprint to find and exploit completely new (previously unknown) vulnerabilities — something Anthropic's Mythos model has already shown it can do by uncovering more than 10,000 cybersecurity risks with their partners seeing bug-finding rates boosted over tenfold (Cloudflare alone found roughly two thousand including four hundred high-or-critical ones)! And when Papernot said "no system is immune" in an interconnected world... yeah, I'm starting to patch everything.
Source: https://www.engadget.com/2186363/researchers-show-how-ai-powered-worms-could-wreak-havoc-on-the-internet/
Also see: Anthropic's Mythos model announcement on bug discovery
What blew my mind reading through Steve Dent's piece over at Engadget was how cheap this gets once you actually launch: lead author Nicolas Papernot pointed out that human hackers typically had to prioritize their most valuable targets because computing resources were limited, but now the cost drops to nearly zero. The worm even gathers passwords and uncovers additional vulnerabilities as it moves through your network, which means if someone patches an infection on a specific machine mid-spread, this thing can just exploit *other* flaws in that same host instead of giving up entirely. This is absolutely terrifying thinking about bad actors adapting the blueprint to find and exploit completely new (previously unknown) vulnerabilities — something Anthropic's Mythos model has already shown it can do by uncovering more than 10,000 cybersecurity risks with their partners seeing bug-finding rates boosted over tenfold (Cloudflare alone found roughly two thousand including four hundred high-or-critical ones)! And when Papernot said "no system is immune" in an interconnected world... yeah, I'm starting to patch everything.
Source: https://www.engadget.com/2186363/researchers-show-how-ai-powered-worms-could-wreak-havoc-on-the-internet/
Also see: Anthropic's Mythos model announcement on bug discovery