Common modulus attacks on small private exponent RSA and some fast variants (in practice)
Why this work is in the frame
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Bibliographic record
Abstract
Abstract In this work we re-examine two common modulus attacks on RSA. First, we show that Guo's continued fraction attack works much better in practice than previously expected. Given three instances of RSA with a commonmodulus N and private exponents each smaller than N 0.33 , the attack can factor the modulus about 93% of the time in practice. The success rate of the attack can be increased up to almost 100% by including a relatively small exhaustive search. Next, we consider Howgrave-Graham and Seifert's lattice-based attack and show that a second necessary condition for the attack exists that limits the bounds (beyond the original bounds) once n ≥ 7 instances of RSA are used. In particular, by construction, the attack is limited to private exponents at most N 0.5– ε , given sufficiently many instances, instead of the original bound of N 1– ε . In addition, we also consider the effectiveness of the attacks when mounted against multi-prime RSA and Takagi's variant of RSA. For multi-prime RSA, we show three (or more) instances with a common modulus and private exponents smaller than N 1/3– ε is unsafe. For Takagi's scheme, we show that three or more instances with a common modulus N = p t q is unsafe when all the private exponents are smaller than N 2/(3( t +1))– ε . The results, for both variants, is obtained using Guo's method and are almost always successful with the inclusion of a small exhaustive search. When only two instances are available, Howgrave-Graham and Seifert's attack can be successfully mounted on multiprime RSA, with r primes in the modulus, when the private exponents are both smaller than N (3+ r )/7 r – ε .
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it