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OpenAI's unreleased cyber model finds 948 Linux kernel vulnerabilities via automated pipeline

#openai#linux kernel#cybersecurity#ai agents

OpenAI has detailed a pipeline using an upcoming cybersecurity model that automatically discovered, validated, and patched 948 local privilege escalation vulnerabilities in the Linux kernel, at a cost of $1.2 million in API usage. The process involved scout and analyst agents that narrowed the codebase to 2.8 million lines of high-value targets and produced 2,308 suspected vulnerabilities in 12 hours. This contrasts with human researchers finding about 20 similar vulnerabilities per year, highlighting the scalability of AI-driven security research.

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  1. 量子位量子位

    Linux内核被挖出948个漏洞!OpenAI花120万美元找到的 Jay 2026-11-05 09:54:44 来源: 量子位 被轰成筛子了… Jay 发自 凹非寺 量子位 | 公众号 QbitAI 刚刚,Linux内核, 被GPT挖出了948个漏洞😭 。 对,948个。。。 要知道,这可不是什么犄角旮旯的小软件,这是Linux Kernel,是安卓、是全世界无数云服务器、是几乎所有超算背后共同的心脏。 超过4000万行代码,几十年来全世界最顶尖的一批程序员在上面添砖加瓦。 结果,OpenAI用他们一个还没发布的「网络安全模型」,跑了一条自动化的流水线,从发现漏洞、验证漏洞、写出攻击代码 (Exploit) …… 最终,花费 120万美元 ,揪出了 948个 能让普通用户直接拿到最高管理员 (root) 权限的严重漏洞。。。 太惨了,Linux内核维护者们一觉醒来,发现OpenAI提出了948个补丁建议😭。 要知道,在AI出现之前,顶尖的人类安全研究员,一年能在Linux内核里找到 大约20个 类似的漏洞。 AI用10天,干了人类差不多50年的活。 而且成本还巨低。120万美元听着很多,但其实平均下来,找到并攻破一个漏洞的成本是 1279美元 。 如果按照Pwn2Own这种顶级黑客大赛的历史奖金来算,这948个漏洞的价值,大概在 1890万到6630万美元 之间。 AI黑客军团 所以,OpenAI到底是怎么做到的? 他们用AI Agent,搭建了一支纪律严明、分工明确的AI黑客军团。 核心可分为三步: 1.侦察和分析 (Discovery) 整个Linux内核代码量超过4000万行,如果全量死磕,算力再多也得烧穿。 因此,OpenAI派出了两种AI Agent,打探敌情。 首先是「侦察兵」 (Scout agents) 。它负责通读Linux内核的全部代码,判断哪些部分跟安全有关、容易被攻击。 最后,它从4000多万行代码里,圈出了 280万行 「高价值目标」,大概占总代码量的7%,花掉了3426美元的API额度。 随后「分析师」 (Analyst agents) 进场,拿到「侦察兵」给的地图,开始对这280万行代码进行地毯式扫描,寻找可能的漏洞。 12个小时,它交出了2308个「疑似漏洞」报告,耗资31.6万美元。 2.验证和复现 (Validation)

  2. Techmeme

    OpenAI : OpenAI details a pipeline that used an upcoming cyber model to validate and patch 948 local privilege escalation vulnerabilities in Linux for $1.2M in API costs — Security research that once required a separate, sustained investigation for each finding can increasingly be run as a systematic process.

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