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Sina TechUpdated Nov 5 07:58

OpenAI's automated vulnerability pipeline discovers 1,724 Linux kernel vulnerabilities

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OpenAI's automated vulnerability research pipeline identified 2,308 candidate Linux kernel vulnerabilities, dynamically reproduced and confirmed 1,724 vulnerabilities, and generated 948 local privilege escalation (LPE) exploits. The pipeline consists of five stages: vulnerability discovery, dynamic verification, exploitability assessment, patch generation, and human review; the full second scan cost approximately $1.21 million in API credits. Estimated by bug bounty standards, these 948 exploits are worth between $18.9 million and $66.3 million, 16 to 55 times the pipeline cost; the agent used 10 entirely new exploitation techniques, which third-party kernel vulnerability experts have verified as novel methods, and OpenAI is submitting the vulnerability information and corresponding patches to Linux kernel maintainers.

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The original text presents the five-stage workflow and cost-benefit comparison of the automated vulnerability research pipeline, offering insight into the practical output of agents in security research.

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OpenAI自动化漏洞研究链路共识别出2308个Linux内核漏洞候选样本,通过动态复现确认1724个漏洞,并生成948个本地提权(LPE)利用程序,这类漏洞可让无权限用户获取root最高权限。

该链路分为五个阶段:漏洞发现、动态验证、可利用性评估、补丁生成、人工复核。第二次扫描的全流程成本约121万美元API点数,产出948个独立本地提权漏洞。

若按漏洞赏金标准估算,这948个利用程序价值区间为1890万至6630万美元,是链路成本的16至55倍。智能体使用了10种全新漏洞利用技术,已经第三方内核漏洞专家核验确认为新方法。OpenAI正向Linux内核维护人员提交漏洞信息与对应补丁。 news_keyword_pub,usstock, 正文下iframe 正文下iframe 总声明 总声明 文末二维码 start 文末二维码 start

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Sina Tech