Key-Recovery Attacks on Round-Reduced Twinkle
Twinkle is a family of low-latency cryptographic primitives that includes the authenticated encryption scheme Twinkle-AE and the pointer authentication scheme Twinkle-PA. Both schemes are built on the low-latency Pseudo-Random Function (PRF) called Twinkle. The state-of-the-art analysis presented at SAC 2025 showed that, for Twinkle-AE variants with higher confidentiality than integrity, an adversary can recover the 512-/1024-bit authentication key K ′ using 𝒪 ( 2 t ) queries, where t ∈ { 64 , 128 } . These attacks exploit weaknesses in the use of the universal hash function within the WC-MAC construction, rather than in the underlying PRF. In this paper, we fill this gap by performing the first key recovery attacks on Twinkle using two approaches: cube-attack-like and differential-linear cryptanalysis. By leveraging critical algebraic and structural properties of the underlying permutation Twinkle-P, we obtain a 3-round algebraic key-recovery on Twinkle using multiple 9 -dimensional cubes with time complexity 2 102.32 . To further improve the key recovery attacks, we extend conditional differential–linear approximations to obtain key-recovery attacks on Twinkle for up to 5 rounds. Additionally, we present improved 5- and 6-round differential-linear distinguishers of Twinkle-P. We emphasize that our attacks do not pose a threat to the full-round Twinkle.
Authors
- Jian Guo (ORCID: https://orcid.org/0000-0001-8847-6748)
- 王世昌
- Yiran Yao (ORCID: https://orcid.org/0009-0009-0347-8230)
- Huina Li (ORCID: https://orcid.org/0000-0002-7355-3832)
- Xiaobin Yu (ORCID: https://orcid.org/0009-0009-9492-1452)
Institutions
- Nanyang Technological University (SG)
- Chinese Academy of Sciences (CN)
- Institute of Information Engineering (CN)
- University of Chinese Academy of Sciences (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- IACR Communications in Cryptology
- Published
- 2026-10-26
- DOI
- https://doi.org/10.62056/a6hevu7sf
- Primary Topic
- Cryptographic Implementations and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Ministry of Education of the People's Republic of China
- Tsinghua University