Biased RSA private keys: Origin attribution of GCD-factorable keys

Investor logo

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Informatics. Official publication website can be found on muni.cz.
Authors

JANOVSKÝ Adam NEMEC Matúš ŠVENDA Petr SEKAN Peter MATYÁŠ Václav

Year of publication 2020
Type Article in Proceedings
Conference Computer Security – ESORICS 2020
MU Faculty or unit

Faculty of Informatics

Citation
Web https://link.springer.com/chapter/10.1007%2F978-3-030-59013-0_25
Doi http://dx.doi.org/10.1007/978-3-030-59013-0_25
Keywords Cryptographic library; RSA factorization; Measurement; RSA key classification; Statistical model
Description In 2016, Švenda et al. (USENIX 2016, The Million-key Question) reported that the implementation choices in cryptographic libraries allow for qualified guessing about the origin of public RSA keys. We extend the technique to two new scenarios when not only public but also private keys are available for the origin attribution -- analysis of a source of GCD-factorable keys in IPv4-wide TLS scans and forensic investigation of an unknown source. We learn several representatives of the bias from the private keys to train a model on more than 150 million keys collected from 70 cryptographic libraries, hardware security modules and cryptographic smartcards. Our model not only doubles the number of distinguishable groups of libraries (compared to public keys from Švenda et al.) but also improves more than twice in accuracy w.r.t. random guessing when a single key is classified. For a forensic scenario where at least 10 keys from the same source are available, the correct origin library is correctly identified with average accuracy of 89\% compared to 4\% accuracy of a random guess. The technique was also used to identify libraries producing GCD-factorable TLS keys, showing that only three groups are the probable suspects.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.