LLMs are Getting a Lot Better and Faster at Finding and Exploiting Zero-Days
嗯,用户让我用中文总结一下这篇文章,控制在一百个字以内,而且不需要特定的开头。首先,我得仔细阅读文章内容,抓住关键点。 文章主要讲的是Opus 4.6这个模型在发现高危漏洞方面比之前版本更好。它通过像人类研究员一样分析代码,而不是随机输入测试。特别提到它在一些经过长期测试的代码库中发现了之前未被发现的漏洞,甚至有些存在了 decades。 接下来,我需要把这些信息浓缩到100字以内。要突出Opus 4.6的优势、它的方法以及成果。可能还要提到它如何高效地工作,不需要特定工具。 然后,检查是否有遗漏的重要信息,比如零日漏洞(zero-day)和AI的应用。确保语言简洁明了,符合用户的要求。 </think> Opus 4.6显著提升了高危漏洞检测能力,通过模拟人类研究员分析代码的方式,在未经特殊工具辅助的情况下快速发现漏洞。它成功识别了数十年未被发现的零日漏洞,展现了AI在安全领域的潜力。 2026-2-9 12:4:29 Author: www.schneier.com(查看原文) 阅读量:0 收藏

This is amazing:

Opus 4.6 is notably better at finding high-severity vulnerabilities than previous models and a sign of how quickly things are moving. Security teams have been automating vulnerability discovery for years, investing heavily in fuzzing infrastructure and custom harnesses to find bugs at scale. But what stood out in early testing is how quickly Opus 4.6 found vulnerabilities out of the box without task-specific tooling, custom scaffolding, or specialized prompting. Even more interesting is how it found them. Fuzzers work by throwing massive amounts of random inputs at code to see what breaks. Opus 4.6 reads and reasons about code the way a human researcher would—looking at past fixes to find similar bugs that weren’t addressed, spotting patterns that tend to cause problems, or understanding a piece of logic well enough to know exactly what input would break it. When we pointed Opus 4.6 at some of the most well-tested codebases (projects that have had fuzzers running against them for years, accumulating millions of hours of CPU time), Opus 4.6 found high-severity vulnerabilities, some that had gone undetected for decades.

The details of how Claude Opus 4.6 found these zero-days is the interesting part—read the whole blog post.

News article.

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Posted on February 9, 2026 at 7:04 AM0 Comments

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文章来源: https://www.schneier.com/blog/archives/2026/02/llms-are-getting-a-lot-better-and-faster-at-finding-and-exploiting-zero-days.html
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