Epoch AI 分析:Claude Mythos Preview 公布后高危 CVE 数量升至此前月度纪录 3.5 倍以上
Disclosed CVEs: 3.5× Spike After Claude Mythos
Epoch AI 分析显示,Anthropic 于 2026 年 4 月公布 Claude Mythos Preview 具备自主漏洞发现与利用能力后,CVE 披露量显著跳升:6 月高危及严重级别漏洞数量比此前月度纪录高出 3.5 倍以上。
原文用 21 家机构公开 CVE 数据给出披露量跳升的量化结果,并说明来源与局限,读者可自行评估 AI 参与漏洞发现的可见影响。
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In April 2026, Anthropic announced that its latest internal model (Claude Mythos Preview) was capable of autonomous cybersecurity vulnerability discovery and exploitation. Since then, both Anthropic and OpenAI have launched efforts to use frontier models to harden critical software before malicious actors are able to use the same models for harm.
We show that the number of Common Vulnerabilities and Exposures (CVEs) jumped significantly following these announcements. Compared to the previous monthly record before the Mythos Preview announcement, the number of high- and critical-severity vulnerabilities increased more than 3.5x in June.
Data
Our Cyber Vulnerability Reports hub visualizes data from cve.org, a public repository of CVE reports from software companies and third-party security researchers. We focus our analysis on CVEs reported by 21 notable organizations to avoid capturing noisy submissions from less reputable sources. These notable organizations include:
Microsoft · Google · Apple · Adobe · Oracle · Cisco · IBM · Red Hat · Intel · AMD · NVIDIA · Qualcomm · Samsung · SAP · Amazon (AWS) · VMware (Broadcom) · GitHub (own products) · Linux · Mozilla · Apache · OpenSSL
Assumptions and limitations
Our figures come from publicly disclosed vulnerabilities, which do not include discovered but not publicly disclosed vulnerabilities. Anthropic claims that their Project Glasswing alone has identified over 10,000 high- and critical-severity vulnerabilities.
While some of the increase in observed vulnerability disclosure is almost certainly due to increased feasibility of discovery, the spike may also be caused in part by an increase in the amount of interest in discovering bugs.
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Monthly high- and critical-severity CVEs from 21 notable organizations
来源:Epoch AI:研究、数据与评测 · epoch.ai