Google DeepMind says AI agents found two weaknesses in legacy 1024-bit RSA

Nov 6, 2026
Google DeepMind says AI agents under human supervision found faster methods for attacking legacy 1024 bit RSA systems. Modern 2048 bit RSA is not affected by the specific findings.

Google DeepMind says AI agents under human supervision found two faster methods for attacking legacy 1024 bit RSA systems, according to OfficeChai. The research was led by Dj Dvijotham and Abhradeep Thakurta with Nadia Heninger of UC San Diego and Inria and Emmanuel Thomé of Inria.

One result concerns RSA signatures and how much protection padding provides when an attacker controls parts of the signed block. The agents also found an algorithm that DeepMind estimates is about 1,600 times faster than the best previous method for a case involving a 32 byte fingerprint and 1024 bit keys.

The second result improves the process for factoring multiple RSA keys of the same size. DeepMind estimates the method reduces the average cost of factoring each additional 1024 bit key by about 30 times. The company said modern 2048 bit RSA systems are not affected by these specific methods.

DeepMind announced the results in a thread on X, RuntimeWire reported, and said cryptographic standards need to be stress-tested continuously, according to PANews.

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