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Exponential View更新于 10月25日 19:16

Azeem Azhar:AI 正把旧漏洞变成严重问题,互联网将更安全但更封闭

The internet’s Wuhan moment - by Azeem Azhar

AI 导读

Azeem Azhar 认为当前互联网正遭遇密集攻击,AI 让旧漏洞的利用规模和速度大幅提升,PHP2Shell、Node.js 漏洞和微软披露的 AI 智能体集群入侵是同期案例。他引用 Cloudflare 负责人 Matthew Prince 的预测,称五年内 AI 智能体数量将达人类用户的 1000 倍,并判断攻击会先恶化,最终留下的互联网更安全但更不开放。文中还提到 Anthropic 曾暂缓发布 Claude Mythos,而开源模型 GLM 5.3 到 8 月已接近其水平。

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AI 评分 61

文章把近期多起攻击事件串成一条线索,给出互联网将更安全但更封闭的判断,并解释攻击为何先恶化。

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The internet’s Wuhan moment

AI is turning every old bug into a serious problem. The Internet that survives will be safer--but less open. Azeem AzharOct 23, 2026∙ Paid

It is January 2020 all over again. Something is spreading fast. Most people haven’t noticed, and the people who have are worried.

Software, the internet, and cyberspace in general are currently under relentless attack. PHP2Shell was a key plank to fall: PHP runs about 70% of the world’s websites. But the breadth of attacks is more comprehensive than that, and the exploits will keep growing. On the same day, Node.js, a popular JavaScript library, patched a critical flaw, and Microsoft said a Chinese state-aligned group had used a swarm of AI agents to break into accounts.

The attackers have company. AI agents are spreading across the internet. Matthew Prince, who runs Cloudflare, a network company, reckons they will outnumber human users 1,000 to one within five years. My own agents already browse more than I do. The internet was built so that anyone could plug in. Increasingly, that "anyone" is a machine, and some of those machines are hunting.

Mr Prince sums it up: “We’re going to have a couple of years where every single week it’s going to feel like the sky is falling.” He is right. It will get worse before it gets better. And the internet that comes out the other side will be safer, and less open, than the one we built.

Why now?

AI became a serious security player in April, when Anthropic held back Claude Mythos. But capabilities trickle down. By August, an open-weight Chinese model, GLM 5.3, had nearly caught up with Mythos. So are the open models to blame?

Not right now. Plenty of evidence points to closed models being used by bad actors in attacks. Recently, some attackers used a combination of open-weight models and Claude: Claude for thinking and cheaper models for relentless attacks. OpenAI's closed models carried out an attack on Hugging Face in June, during cybersecurity evaluations. They were never told to attack Hugging Face, they breached it to steal information that might help them pass the test.

Told to find vulnerabilities, the models are relentless. Microsoft says one Chinese group used an open-source swarm of AI agents to gain control of cloud accounts in under three hours. It made 2,900 login attempts a minute across more than 2,250 organisations. You can scale them like any software, dozens, hundreds, thousands in parallel. And they don’t analyse vulnerabilities the way humans do—they will look in places we might not. One researcher using AI found PHP2Shell in a week. Wiz, a Google-owned security firm, says a world-class team would once have needed months. And this is why the chart looks like this.

But open-weight models are getting better. They are cheaper to run and they are increasingly available through third parties. But apart from those advantages, open-weight models have another: they can be abliterated.

For members:

Why it gets worse first

Where the next wave of attacks comes from

What the internet becomes

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Exponential View