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FPTracer follows laundering across Ethereum DeFi, bridges and mixers

Original title: Tracing Money Laundering Across DeFi, Bridges, and Mixers on Ethereum

arXiv cs.CRby Huan Xing ()1 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

On 20 cases it recalled 98.6% of known laundering addresses and reported 30 extra bridge uses.

Researchers describe FPTracer, which rebuilds asset paths inside Ethereum transactions, classifies likely cross-chain bridge intent without a pre-collected bridge list, and uses upstream laundering evidence to look past mixers. They argue existing tracers misread complex DeFi flows, miss cross-chain intent, and treat mixers as final exits. On real-world cases the authors report high recall of known addresses and destinations, every known bridge use in the set, additional bridge uses, and possible Tornado Cash withdrawal-side activity.

Unconfirmed: Post-mixer activity is described as potential and only corroborated by public reports where available.

Key facts
  • Evaluation used 20 real-world laundering cases.
  • Known-address recall was 98.6% and destination recall was 94.2%.
  • The authors report 30 bridge uses they say were previously unreported.
  • Tornado Cash use was identified in 18 cases, with possible withdrawal-side flows.
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From the original article

1 min read at arxiv.org

Illicit actors exploit Ethereum's deep liquidity and diverse on-chain services to launder criminal proceeds by combining decentralized finance (DeFi) protocols, cross-chain bridges, and mixers in multi-stage processes.

arXiv cs.CR

By Huan Xing · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.