AI-discovered software bugs may soon trigger fresh disruptions, cyber experts said on October 23. Research shows AI helped double digital flaws found this year. “I think there’s going to be a lot more fire drills for anything that’s internet exposed,” said researcher Patrick Garrity, as global websites face new threats.

WASHINGTON, Oct 23 (Reuters) - Advances in artificial intelligence have uncovered a stream of new software vulnerabilities that are almost ​certain to trigger more disruption along the lines of the outages that percolated across global government websites this week, according to seven cybersecurity professionals who spoke to ‌Reuters.

AI helped drive a doubling of the number of digital flaws discovered year-on-year, according to research due to be published in the coming days by VulnCheck, a Massachusetts-based threat intelligence firm.

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“I think we’re going to have a couple years where every single week it’s going to feel like the sky is falling,” Prince said in an ​interview on Thursday.

The outages that spread across government sites in Europe and elsewhere beginning on Wednesday happened after the discovery of weaknesses in PHP, ⁠a venerable programming language that powers a huge swath of the internet. Operators have been rushing to fix their software in anticipation of mass exploitation and, because some felt they could ​not patch before hackers jumped in, a subset simply yanked their sites offline until they could make them safe.

VulnCheck researcher Patrick Garrity said the scramble to fix PHP came during an already busy ​week in cybersecurity. The week also brought disclosures of vulnerabilities PHP alternative Node.js and streaming program Plex, breaches tied to AI gateway LiteLLM and development platform Railway, and the revelation that the Indian certificate authority eMudhra had used an extraordinarily flimsy cryptographic key that potentially put users across the internet at risk.

“If we just saw four or five things like this, this week, I would expect we’re going to see a lot more,” Garrity said. “I ​think there’s going to be a lot more fire drills for anything that’s internet exposed.”

TIMELINES SHORTENING

The codebases that run modern programs are sprawling and mistakes, or “bugs,” that open up potential avenues ​for exploitation often crop up in unexpected places.

Previously, finding bugs required a baseline level of skill, and taking advantage of those bugs to build digital lockpicks – called “exploits” – could be expected to take weeks or months ‌of work ⁠by an experienced professional.

That would in the past have provided defenders a little breathing room to fix bugs and gently roll out software updates.

AI has effectively thrown those assumptions out the window. Models can find one bug after another by subjecting codebases to round-the-clock scrutiny, and can turn around exploits in hours. Shane Fry, the chief technology officer of Virginia-based RunSafe Security, said the demonstrated performance of AI models over the past few months had effectively laid to rest any doubts over whether they would change the industry.

“What's fundamentally, and unquestionably, changing is the timescale for not only finding ​vulnerabilities, but how quickly adversaries can weaponize ​them,” Fry said.

SCARY MONSTERS

While all the experts ⁠Reuters spoke to agreed that defenders’ timelines were getting shorter, they were split on whether AI would lead to a hacker free-for-all.

Daniel Stenberg, the lead developer of the file transfer tool curl, argued the vulnerabilities found by AI models tended to be exotic bugs that were difficult for ​rogue actors to take advantage of. Ramy Rahman, a senior principal solutions engineer at cybersecurity company ArmorCode, said “more disclosed vulnerabilities do not ​automatically mean more successful attacks."

Prince, of Cloudflare, told Reuters he had seen anecdotal evidence of compromises linked to the PHP vulnerability.

The ​deluge of AI-driven discoveries might rattle the industry, but would be a net positive in the end, he said, comparing it to slaying the monsters in a haunted house.

The confrontation might be scary, he said, but leaving the monsters to lurk ​quietly behind closed doors was far worse.

“The reality is, we’re going to get a lot of this stuff cleaned up,” he said.

Reporting by Raphael Satter and AJ Vicens; editing by Lincoln Feast.

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Reporter covering cybersecurity, surveillance, and disinformation for Reuters. Work has included investigations into state-sponsored espionage, deepfake-driven propaganda, and mercenary hacking.

Cybersecurity correspondent covering cybercrime, nation-state threats, hacks, leaks and intelligence