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Filtering Email Addresses, Credit Card Numbers and Searching for Bitcoin Artifacts with the Autopsy Digital Forensics Software

  • Patricio DominguesEmail author
  • Miguel Frade
  • João Mota Parreira
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 942)

Abstract

Email addresses and credit card numbers found on digital forensic images are frequently an important asset in a forensic casework. However, the automatic harvesting of these data often yields many false positives. This paper presents the Forensic Enhanced Analysis (FEA) module for the Autopsy digital forensic software. FEA aims to eliminate false positives of email addresses and credit card numbers harvested by Autopsy, thus reducing the workload of the forensic examiner. FEA also harvests potential Bitcoin public addresses and private keys and validates them by looking into Bitcoin’s blockchain for the transactions linked to public addresses. FEA explores the report functionality of Autopsy and allows exports in CSV, HTML and XLS formats. Experimental results over four digital forensic images show that FEA eliminates as many as \(40\%\) of email addresses and \(55\%\) of credit card numbers.

Keywords

Digital forensics Email addresses Credit card numbers Bitcoin 

Notes

Acknowledgements

This work was partially supported by FCT, Instituto de Telecomunicações under project UID/EEA/50008/2013 and CIIC under project UID/CEC/04524/2016.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Patricio Domingues
    • 1
    • 2
    • 3
    Email author
  • Miguel Frade
    • 1
    • 3
  • João Mota Parreira
    • 4
  1. 1.ESTGPolytechnic Institute of LeiriaLeiriaPortugal
  2. 2.Instituto de TelecomunicaçõesCoimbraPortugal
  3. 3.CIIC – Computer Science and Communication Research CentreLeiriaPortugal
  4. 4.Void Software, SALeiriaPortugal

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