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ECTester: Reverse-engineering side-channel countermeasures of ECC implementations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00141400" target="_blank" >RIV/00216224:14330/25:00141400 - isvavai.cz</a>

  • Result on the web

    <a href="https://tches.iacr.org/index.php/TCHES/article/view/12411" target="_blank" >https://tches.iacr.org/index.php/TCHES/article/view/12411</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.46586/tches.v2025.i4.290-316" target="_blank" >10.46586/tches.v2025.i4.290-316</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    ECTester: Reverse-engineering side-channel countermeasures of ECC implementations

  • Original language description

    Developers implementing elliptic curve cryptography (ECC) face a wide range of implementation choices created by decades of research into elliptic curves. The literature on elliptic curves offers a plethora of curve models, scalar multipliers, and addition formulas, but this comes with the price of enabling attacks to also use the rich structure of these techniques. Navigating through this area is not an easy task and developers often obscure their choices, especially in black-box hardware implementations. Since side-channel attackers rely on the knowledge of the implementation details, reverse engineering becomes a crucial part of attacks. This work presents ECTester --- a tool for testing black-box ECC implementations. Through various test suites, ectester observes the behavior of the target implementation against known attacks but also non-standard inputs and elliptic curve parameters. We analyze popular ECC libraries and smartcards and show that some libraries and most smartcards do not check the order of the input points and improperly handle the infinity point. Based on these observations, we design new techniques for reverse engineering scalar randomization countermeasures that are able to distinguish between group scalar randomization, additive, multiplicative or Euclidean splitting. Our techniques do not require side-channel measurements; they only require the ability to set custom domain parameters, and are able to extract not only the size but also the exact value of the random mask used. Using the techniques, we successfully reverse-engineered the countermeasures on 13 cryptographic smartcards from 5 major manufacturers -- all but one we tested on. Finally, we discuss what mitigations can be applied to prevent such reverse engineering, and whether it is possible at all.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/VJ02010010" target="_blank" >VJ02010010: Tools for AI-enhanced Security Verification of Cryptographic Devices</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IACR Transactions on Cryptographic Hardware and Embedded Systems

  • ISBN

  • ISSN

    2569-2925

  • e-ISSN

  • Number of pages

    27

  • Pages from-to

    290-316

  • Publisher name

    Ruhr-University of Bochum

  • Place of publication

    Německo

  • Event location

    Kuala Lumpur, Malaysia

  • Event date

    Sep 14, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article