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The Guardian Technology更新于 10月25日 18:56

Guardian:安全专家警告 AI 驱动黑客进入新阶段,PHP 漏洞引发“黑色十月

‘Black October’: cybersecurity experts sound the alarm over new era of AI-enabled hacking

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《卫报》报道,研究人员用 AI 在 PHP 中发现一处存在数十年的严重漏洞,可能影响约 70% 的网站,政府和私营站点临时下线打补丁,NSA 发布告警。Anthropic 的 Jason Clinton 称未来几个月将出现“漏洞海啸”,Cloudflare 的 Matthew Prince 称公告后 2 小时内利用尝试从数千升至数十万、现已达数百万,Sam Altman 表示“不再认为我们能修补所有 bug”。

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多位安全高管就 AI 加速发现和利用漏洞给出具体时间判断,读者可据此理解基础设施修补压力从何而来。

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Leaders in cybersecurity are sounding the alarm after the discovery of a major vulnerability this week. They are predicting that artificial intelligence tools will expose more fundamental weaknesses in global internet infrastructure in the months to come.

“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. 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.

The next few months will see a “vulnerability tsunami”, according to Jason Clinton, Anthropic’s deputy chief information security officer. “There won’t be enough time to patch critical infrastructure,” Clinton said in a post on X on Thursday evening. Marc Benioff, the Salesforce CEO, agreed and called it a “code red”.

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. “It’s going to feel like the sky is falling. It’s going to feel like there’s nothing we can do.

“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.

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. Some experts estimated 70% of all the sites on the internet were at risk of 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.

Attempts to exploit the PHP vulnerability have already begun.

After the vulnerabilities were announced, government and private websites across the US and UK temporarily took down their sites to patch the bugs. The US National Security Agency (NSA) issued an alert recommending any site that runs on PHP implement the patches immediately. Malicious cyberactors may seek to further exploit these bugs to access servers without authorization, the NSA said.

“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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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.

“That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now,” he wrote.

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”.

“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.

来源

The Guardian Technology