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Preimage Attacks on Step-Reduced SM3 Hash Function

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Information Security and Cryptology - ICISC 2011 (ICISC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7259))

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Abstract

This paper proposes a preimage attack on SM3 hash function reduced to 30 steps. SM3 is an iterated hash function based on the Merkle-Damgård design. It is a hash function used in applications such as the electronic certification service system in China. Our cryptanalysis is based on the Meet-in-the-Middle (MITM) attack. We utilize several techniques such as initial structure, partial matching and message compensation to improve the standard MITM preimage attack. Moreover, we use some observations on the SM3 hash function to optimize the computation complexity. Overall, a preimage of 30 steps SM3 hash function can be computed with a complexity of 2249 SM3 compression function computation, and requires a memory of 216. As far as we know, this is yet the first preimage result on the SM3 hash function.

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Authors and Affiliations

  1. State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, P.R. China

    Jian Zou, Wenling Wu, Shuang Wu, Bozhan Su & Le Dong

  2. Graduate University of Chinese Academy of Sciences, Beijing, 100049, P.R. China

    Jian Zou

Authors
  1. Jian Zou
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  2. Wenling Wu
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  3. Shuang Wu
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  4. Bozhan Su
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  5. Le Dong
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Editor information

Editors and Affiliations

  1. (A06) 6503 School of Computer Science and Engineering, Pusan National University, San-30, JangJeon-Dong, 609-735, GeumJeong-Gu, Busan, South Korea

    Howon Kim

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Zou, J., Wu, W., Wu, S., Su, B., Dong, L. (2012). Preimage Attacks on Step-Reduced SM3 Hash Function. In: Kim, H. (eds) Information Security and Cryptology - ICISC 2011. ICISC 2011. Lecture Notes in Computer Science, vol 7259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31912-9_25

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  • DOI: https://doi.org/10.1007/978-3-642-31912-9_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31911-2

  • Online ISBN: 978-3-642-31912-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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