OpenAI GPT–6 Astra breaks Enigma message that has resisted solution since 2005

原始链接: https://www.cryptocellar.org/bgac/the-mvueh-break.html

2026年9月15日,卡特·莱弗(Carter Leffer)成功验证了对一份1941年7月10日的“不可破解”恩尼格玛电文(MVUEH)的解密。这一突破完全由人工智能模型GPT-6 Astra实现,该模型独立地将该电文识别为有价值的破解目标,推测出其与另一条相关电文(SIPVX)的联系,并自主开发了密码分析软件。 解密显示,MVUEH的密钥极其复杂,采用了独特的转子顺序,并在第72个字符处出现了罕见的左侧转子进位。该人工智能还展示了先进的研究能力,通过识别包括德国联邦档案馆特定卷宗(RS 3–3/20a 和 RS 3–3/63b)在内的冷门档案来辅助分析,而这些记录并未被参考网站索引。 该人工智能表现出的速度与精密程度,仅用两天就完成了人类水平数月的研究与密码分析工作,令研究人员感到惊叹。这一里程碑代表了人工智能在历史密码分析应用上的重大进步,展现了其将档案调查与自动化解密相结合的前所未有的能力。

OpenAI 的 GPT-6 Astra 最近破解了一条自 2005 年发布在“Crypto Cellar”网站上以来一直未被解读的恩尼格玛(Enigma)密码。这条消息来自 1941 年苏联入侵期间的党卫队“骷髅”师(SS-Totenkopf Division),由于使用了非标准密钥,且在第 72 个字符处包含罕见的转子翻转,因此难以破解。 尽管文章称 Astra 在被引导寻找未解密码后“完全独立”地取得了这一突破,但该成就引发了 Hacker News 上的激烈辩论。怀疑论者认为,这一成功与其说是“智能”的体现,不如说是模型利用其在历史密码学方面的海量训练数据,并自动化使用开源恩尼格玛模拟工具的能力。 另一些人则为这一结果辩护,指出该模型成功识别出最有希望攻克的报文,并展现了综合复杂工作流程的高水平能力——实际上起到了一种高速研究协作伙伴的作用。被破解的消息证实了一项关于行军路线的战术请求,结尾署名为一名叫“Waschbusch”的德国军官。这场讨论凸显了在人工智能“智能”定义与高级模式匹配及工具辅助自动化之间持续存在的争议。
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原文

On 15 September 2026, Carter Leffer contacted me to request validation of a break of the German Army Enigma message MVUEH of 10 July 1941. The message, which was sent by a radio station with the tactical callsign 2ny, was received by the radio station of the SS-Totenkopf Quartiermeister, Ib. Ib received the message at 17:30 on 10 July 1941 and logged the message as Nr. 172 in its log of incoming messages for July 1941. Since 2005, the message has resisted all attempts to break it.

On 9 June 2017, Alex Shovkoplyas succeeded in breaking another unbroken message from this day, Nr. 173, SIPVX. However, the Enigma key he recovered for the message differed slightly from the daily Enigma key for 10 July 1941 used for all other messages from this day. The SIPVX key used the same wheel order, 512, as the daily key, but the plug connections (Stecker) and ring setting (Ringstellung) differed. However, the new key did not allow us to break the MVUEH message.

After Carter Leffer sent the MVUEH break details, it was immediately clear he had found the correct key and plaintext. The MVUEH key turns out to be completely different from the other keys from 10 July 1941; even the wheel order differs: 253 instead of 512 for the other two keys. More surprising is that the plaintext is almost identical to the plaintext for message Nr. 173, SIPVX. The two messages differ in length by twelve letters. MVUEH is 82 letters long, while SIPVX has 94 letters. This difference is due to a mistake when enciphering the word Bitte in MVUEH, which resulted in Btte, and to the sender’s signature, Waschbusch, being repeated in the SIPVX message.

An analysis of the break revealed that the transcription of the MVUEH ciphertext from the original message form contained several errors, and the break revealed that the Enigma’s left-hand wheel makes a turnover at the 72nd letter. A turnover of the Enigma’s left-hand wheel, which rarely occurs, is known to complicate a break. These factors may have prevented an earlier break.

However, the most astonishing thing about this break is that the GPT–6 Astra did it entirely on its own. Carter Leffer only directed GPT–6 Astra to see if it could break any of the unbroken Enigma messages published on the Crypto Cellar Research web page. After analysing the unbroken messages on the website, it decided that the most promising message was Nr. 172, MVUEH and it also quickly suspected that the plaintext of Nr. 173, SIPVX, might be related to the plaintext of the unbroken MVUEH message. After trying many different approaches, GPT–6 Astra focused on using the repeated place name ROSENOW ROSENOW as a crib. After developing the necessary Python and C++ software for an Enigma simulator and an Enigma Bombe, GPT–6 Astra started a thorough break with the ROSENOW crib, which in the end resulted in the correct key and plaintext for the MVUEH message being found.

We are still analysing the GPT–6 Astra logs to see exactly how it executed the break. And we are discovering amazing details. In July 2026, I made the following announcement on the webpage with the 1941 Message List:

Note: In July 2026, research in the German Bundesarchiv revealed several
collections of radio messages, both enciphered and in cleartext. One of
these message collections was from SS-Totenkopf Division’s logistics
command, Nachschubführer. Many of these messages were sent to the Ib
(Quartiermeister) radio station and are identical to those in this list.
Others are new, but most likely related. These new messages are added to
the 1941 Message List in bold, with the indicator NF (Nachschubführer)
after the message number, indicating that these message numbers belong
to the NF numbering. All NF messages are outgoing; hence, the message
numbers are in blue.

It appears that GPT–6 Astra discovered this note about the collections of radio messages at the German Bundesarchiv, because in one of the logs we find the following:

  1. Original-source access lead. The completed evidence pass traced the received corpus to a private collection and found concrete Bundesarchiv radio-message volumes, including RS 3–3/20a and RS 3–3/63b. Catalogue records have been inspected; the original received no.172 image remains unlocated, and the available archive viewer has not yet exposed the relevant scans in this environment. No correspondence has been sent.

The file references GPT–6 Astra mentions, RS 3–3/20a and RS 3–3/63b, are correct, but they are not available on the Crypto Cellar Research website. GPT–6 Astra mentions a private collection, but it is not clear what this is, whether it has succeeded in accessing the Bundesarchiv’s digitised collections or whether it has found these files elsewhere. What is clear, though, is that GPT–6 Astra is behaving like a very professional cryptanalyst and archive researcher. What it has achieved in two days would take a human researcher weeks or even months. Personally, I spent several weeks researching the Bundesarchiv files GPT–6 Astra refers to.

The AI break of the Enigma message MVUEH is simply amazing, and as an old cryptanalyst, I am still in awe.

Updated: 19 September 2026 at 08:41 UTC

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