Claude攻破后量子签名方案HAWK
推荐指数 74.0 NO. 009 · 2026.07.29
发布2026/07/28Score79Comments31
为什么值得看
Anthropic用Claude Mythos Preview发现HAWK签名方案的重大漏洞，并找到round-reduced AES的新攻击路径。这是AI首次自主发现密码学结构性弱点，标志着AI辅助密码分析从理论走向实战。
编辑判断
密码学界长期依赖人工数学直觉寻找攻击路径，Claude这次发现的是'结构性弱点'而非暴力枚举，说明大模型开始具备某种形式的数学推理模式识别能力。HAWK是NIST后量子标准化候选方案的变体，这次攻击直接动摇了基于格问题的签名方案设计假设。
对做密码工程的人来说，这意味着以后新算法上线前的审计流程可能要加入AI辅助分析环节；对AI安全研究者，这是LLM在形式化推理领域最硬核的验证案例之一，比数学竞赛成绩更有说服力。需要关注的是Anthropic是否开源了完整的prompt和验证流程，这关系到结果是否可复现。
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意见分歧 31 条评论
核心争论：AI密码分析突破是里程碑还是炒作，成本与安全性如何权衡
> The multi-agent workflow led to interesting dynamics. For example, the key idea in producing this attack was discovered by a pair of workers working together. Both started investigating the idea; the first worker prematurely rejected the idea as infeasible, but the second found a way to fully expl
Hypothesis: the pairing / collaboration makes it much more likely to find a fruitful road previously dismissed, because... that's what happens in fiction - including books, movies, and journalism (long-form "people stories"). It's a common trope: if one character dismisses a course of action, t
Yes there are two interesting derivative questions from this, assuming I understand it. First, is it reproducible consistently at ~50% of workers? If not, what is the rate. Second, are there any lessons to be learned here to increase the rate of success by changing models/weights/training?