Document Open Access Logo

Proof-of-Theft: Dynamic Graph-Based Fingerprinting of In-browser Cryptomining (Artifact)

Authors Tanapoom Sermchaiwong , Jiasi Shen

PDF

Artifact Description

Thumbnail PDF
PDF
DARTS.12.1.19.pdf
  • Filesize: 0.56 MB
  • 5 pages

Document Identifiers

Subject Classification

ACM Subject Classification
  • Security and privacy → Web application security
  • Software and its engineering → Dynamic analysis
Keywords
  • software security
  • cryptocurrency
  • malware detection
  • dynamic analysis
  • data-flow graph

Metrics

Artifact

Artifact Evaluation Policy

The artifact has been evaluated as described in the ECOOP 2026 Call for Artifacts and the ACM Artifact Review and Badging Policy.

Abstract

This artifact contains several supporting materials to the paper "Proof-of-Theft: Dynamic Graph-based Fingerprinting of In-browser Cryptomining". We provide code from our experiments implementing the analysis and detection algorithms described in the paper, along with a dataset of collected Wasm binaries, obfuscated Wasm binaries, data-flow graphs, and image rendering of data-flow graphs. The reader will find instructions and materials to reproduce our experiments, and an overview of how to apply our experimental process to other software.

Cite As Get BibTex

Tanapoom Sermchaiwong and Jiasi Shen. Proof-of-Theft: Dynamic Graph-Based Fingerprinting of In-browser Cryptomining (Artifact). In Special Issue of the 40th European Conference on Object-Oriented Programming (ECOOP 2026). Dagstuhl Artifacts Series (DARTS), Volume 12, Issue 1, pp. 19:1-19:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/DARTS.12.1.19

Author Details

Tanapoom Sermchaiwong
  • The Hong Kong University of Science and Technology, China
Jiasi Shen
  • The Hong Kong University of Science and Technology, China

Funding

This work was supported in part by the Hong Kong Research Grants Council (Project No. 26216025) and the Alibaba Group (through the Alibaba Innovative Research Program). The views expressed in this work are those of the authors and do not necessarily reflect the views of the funding agencies.

Acknowledgements

We thank the anonymous reviewers and the other members at the Software Automation Research Group at HKUST for their insightful and helpful comments.

Related Article

  • Tanapoom Sermchaiwong and Jiasi Shen, "Proof-of-Theft: Dynamic Graph-Based Fingerprinting of In-Browser Cryptomining", in 40th European Conference on Object-Oriented Programming (ECOOP 2026), LIPIcs, Vol. 372, pp. 25:1-25:31, 2026. https://doi.org/10.4230/LIPIcs.ECOOP.2026.25

References

  1. Tanapoom Sermchaiwong and Jiasi Shen. Proof-of-theft: Dynamic graph-based fingerprinting of in-browser cryptomining. 40th European Conference on Object-Oriented Programming (ECOOP 2026), 2026. URL: https://doi.org/10.4230/LIPIcs.ECOOP.2026.25.
Any Issues?
X

Feedback on the Current Page

CAPTCHA

Thanks for your feedback!

Feedback submitted to Dagstuhl Publishing

Could not send message

Please try again later or send an E-mail
© 2023-2026 Schloss Dagstuhl – LZI GmbH Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact