Google DeepMind: AI discovers two weaknesses in legacy 1024-bit RSA systems
Original headlineGoogle DeepMind：AI 发现旧版 1024 位 RSA 系统两处弱点
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Google DeepMind said its human-guided AI agents found two significant weaknesses in legacy 1024-bit RSA cryptography, lowering the expected computational cost of breaking such systems. One result involves forging digital signatures, while a new algorithm reduces the average cost of factoring each additional key when many keys of the same size are attacked in bulk. The findings apply only to the deprecated 1024-bit RSA standard; modern protocols using 2048-bit or longer keys remain secure, according to DeepMind science vice president Pushmeet Kohli. The result matters because it shows AI-assisted search can sharpen classical cryptanalysis without threatening current encryption deployments. What to watch next is whether the techniques generalize to larger key sizes or inform the eventual migration away from RSA altogether.
Muhabbit's AI wrote this summary in its own words from TechFlow's report and translated it from Chinese. It can get details wrong, so check the source.
Named in this story
RSA, Google DeepMind, Pushmeet Kohli