Paper 2026/757

Integral Distinguishers and a 4-Round Key-Recovery Attack on Kuznyechik Without Initial Key Whitening

Nitish Kumar, Indian Institute of Technology Jodhpur
Ranit Dutta, Indian Institute of Technology Jodhpur
Bimal Mandal, Indian Institute of Technology Jodhpur
Abstract

Kuznyechik is a 128-bit block cipher standardized in GOST~R~34.12--2015. In this paper We study Kuznyechik from the viewpoint of integral cryptanalysis, i.e., we track how structured multisets of chosen plaintexts propagate through the round functions. Starting from a first-order structure of $2^8$ plaintexts (one byte takes all $256$ values while the remaining bytes are fixed), we obtain a 2-round distinguisher: after two rounds, every byte position is balanced, meaning that the XOR-sum over the $256$ texts equals zero. Next, in the setting without initial key-whitening, we extend this distinguisher to three rounds by applying one inverse round to the original structure to construct a new input set. Finally, we turn the 3-round balanced property into a 4-round key-recovery attack by partially inverting the last round and filtering last-round key-byte guesses using the balanced test; multiple independent structures remove false candidates.

Metadata
Available format(s)
PDF
Category
Attacks and cryptanalysis
Publication info
Preprint.
Keywords
KuznyechikIntegral cryptanalysisKey recovery
Contact author(s)
p23ma0010 @ iitj ac in
p22ma207 @ iitj ac in
bimalmandal @ iitj ac in
History
2026-04-21: approved
2026-04-17: received
See all versions
Short URL
https://ia.cr/2026/757
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/757,
      author = {Nitish Kumar and Ranit Dutta and Bimal Mandal},
      title = {Integral Distinguishers and a 4-Round Key-Recovery Attack on Kuznyechik Without Initial Key Whitening},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/757},
      year = {2026},
      url = {https://eprint.iacr.org/2026/757}
}
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.