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When organized crime applies academic results: a forensic analysis of an in-card listening device

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Abstract

This paper describes the forensic analysis of what the authors believe to be the most sophisticated smart card fraud encountered to date. In 2010, Murdoch et al. (IEEE Symposium on Security and Privacy, pp 433–446, 2010) described a man-in-the-middle attack against EMV cards. Murdoch et al. (IEEE Symposium on Security and Privacy, pp 433–446, 2010) demonstrated the attack using a general purpose FPGA board, noting that “miniaturization is mostly a mechanical challenge, and well within the expertise of criminal gangs”. This indeed happened in 2011, when about 40 sophisticated card forgeries surfaced in the field. These forgeries are remarkable in that they embed two chips wired top-to-tail. The first chip is clipped from a genuine stolen card. The second chip plays the role of the man-in-the-middle and communicates directly with the point of sale terminal. The entire assembly is embedded in the plastic body of yet another stolen card. The forensic analysis relied on X-ray chip imaging, side-channel analysis, protocol analysis, and microscopic optical inspections.

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Notes

  1. Whenever a command is executed by a card, the card returns two status bytes called SW1 and SW2. These bytes encode a success or a failure cause.

  2. X denotes the number of further PIN verifications remaining before lock-up.

  3. For our purposes, the issuer can be thought of as the bank.

  4. International Mobile Subscriber Identity.

  5. Permanent Account Number (partially anonymized here).

  6. Precise date removed for privacy reasons.

  7. Card Verification Value.

  8. See http://code.google.com/p/cardpeek/downloads/list.

  9. Payment System Environment.

  10. Directory Definition File.

  11. Command: 00 A4 04 00 14.

  12. Carte Bancaire.

  13. Short File Identifier.

  14. Command: 00 B2 xx 0C Le, where xx is incremented as records are being read.

  15. Command: 00 A4 04 00 07.

  16. Command: 80 A8 00 00 02 followed by a GetResponse command: 00 C0 00 00 20.

  17. Command: 00 88 00 00 04.

  18. Command: 80 CA 9F 17 04.

  19. Command: 00 20 00 80 08.

  20. Command: 80 CA 9F 36 05.

  21. Command: 80 CA 9F 13 05.

  22. These can potentially be efficient against yet unknown future forms of fraud.

References

  1. EMVCo. http://www.emvco.com/specifications.aspx

  2. EMVCo. EMV Specification (Book 1), version 4.2 (2008). http://www.emvco.com/download_agreement.aspx?id=652

  3. EMVCo. EMV Specification (Book 2), version 4.2 (2008). http://www.emvco.com/download_agreement.aspx?id=653

  4. EMVCo. EMV Specification (Book 3), version 4.2 (2008). http://www.emvco.com/download_agreement.aspx?id=654

  5. French prosecution case number 1116791060

  6. Mayes, K., Markantonakis, K., Chen, C.: Smart card platform fingerprinting. Glob. J. Adv. Card Technol., 78–82 (2006)

  7. Murdoch, S.J., Drimer, S., Anderson, R., Bond, M.: Chip and pin is broken. In: 2010 IEEE Symposium on Security and Privacy, pp. 433–446. IEEE, New York (2010)

  8. Rivest, R.L., Shamir, A.: How to reuse a “write-once” memory. Inf. Control 55(1), 1–19 (1982)

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  9. Souvignet, T., Frinken, J.: Differential power analysis as a digital forensic tool. Foren. Sci. Int. 230(1), 127–136 (2013)

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Author information

Authors and Affiliations

  1. Computer Science Department, École normale supérieure, 45 rue d’Ulm, 75230, Paris Cedex 05, France

    Houda Ferradi, Rémi Géraud & David Naccache

  2. Centre Microélectronique de Provence, CEA-TEC PACA, 880 Route de Mimet, 13541, Gardanne, France

    Assia Tria

Authors
  1. Houda Ferradi
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  2. Rémi Géraud
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  3. David Naccache
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  4. Assia Tria
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Correspondence to Rémi Géraud.

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Ferradi, H., Géraud, R., Naccache, D. et al. When organized crime applies academic results: a forensic analysis of an in-card listening device. J Cryptogr Eng 6, 49–59 (2016). https://doi.org/10.1007/s13389-015-0112-3

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  • DOI: https://doi.org/10.1007/s13389-015-0112-3

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