Leaders in cybersecurity are sounding the alarm after the discovery of a major vulnerability this week.
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Leaders → sound → vulnerability
They are predicting that artificial intelligence tools will expose more fundamental weaknesses in global internet infrastructure in the months to come.
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tools → predict → months
“I no longer think we’re going to be able to patch all bugs,” said Sam Altman on Thursday evening, joining the chorus of executives.
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Altman → think → executives
In the midst of what’s being called “Black October”, for which researchers used AI to help identify critical flaws in a coding language that is used across millions of websites and may have been unpatched for years, tech executives are warning about the ways AI will be used both to identify and exploit security vulnerabilities at an unprecedented scale and pace.
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AI → call → scale
The next few months will see a “vulnerability tsunami”, according to Jason Clinton, Anthropic’s deputy chief information security officer.
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months → see → Clinton
“There won’t be enough time to patch critical infrastructure,” Clinton said in a post on X on Thursday evening.
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Clinton → patch → evening
Marc Benioff, the Salesforce CEO, agreed and called it a “code red”.
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Benioff → agree → it
AI is uniquely able to find and identify security flaws in a way and at a pace that will feel catastrophic because the security community will not be able to move quickly enough to address them, said Matthew Prince, the Cloudflare CEO.
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Prince → find → them
“It’s going to feel like the sky is falling.
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sky → go → ?
It’s going to feel like there’s nothing we can do.
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we → go → ?
“The next two years are going to be incredibly, incredibly, incredibly fraught with new tools that have infinite patience to go look for vulnerabilities across the Internet,” he wrote in a post on X.
While cybersecurity experts have been warning about a “vulnpocalypse”, or the ability for AI to more easily identify security bugs for months, it wasn’t until “Black October” that researchers were able to use AI to find a flaw as fundamental and critical as the one announced on 21 October.
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researchers → go → October
Massive bugs were found in a programming language called PHP, which may have left the millions of websites that run on it vulnerable to hackers for years.
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that → find → years
Some experts estimated 70% of all the sites on the internet were at risk of hacking.
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% → estimate → hacking
However, in the same way AI will be used to aid in identifying security vulnerabilities at an unprecedented pace, tech leaders worry it’ll also be used by malicious actors to exploit those bugs at an unprecedented pace.
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it → use → pace
Attempts to exploit the PHP vulnerability have already begun.
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Attempts → exploit → vulnerability
After the vulnerabilities were announced, government and private websites across the US and UK temporarily took down their sites to patch the bugs.
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websites → announce → bugs
The US National Security Agency (NSA) issued an alert recommending any site that runs on PHP implement the patches immediately.
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that → issue → patches
Malicious cyberactors may seek to further exploit these bugs to access servers without authorization, the NSA said.
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NSA → seek → authorization
“Such an access vector could help attackers steal sensitive data, disrupt services or move deeper into a network,” the warning read.
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warning → help → network
In a post on X, Prince said CloudFlare, a security provider, had seen evidence of thousands of people trying to exploit the PHP flaws in the 10 hours before it was announced.
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it → say → hours
“That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now,” he wrote.
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he → jump → hours
In a blogpost, researchers at AI security platform Wiz said that this was “among the most severe vulnerabilities discovered in PHP, and arguably in software history”.
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this → say → history
“The underlying flaws had been present for decades, but demonstrating their exploitability required an exceptionally complex chain of steps, at the edge of what human researchers could practically achieve,” they wrote.
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they → underlie → what
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