Dissecting Payload-based Transaction Phishing on Ethereum
Zhuo Chen, Yufeng Hu, Bowen He, Dong Luo, Lei Wu, Yajin Zhou

TL;DR
This paper provides the first comprehensive analysis of payload-based transaction phishing on Ethereum, including dataset creation, categorization, detection methods, large-scale detection, and real-world impact mitigation.
Contribution
It introduces the first ground-truth dataset for PTXPHISH, proposes a high-accuracy detection approach, and reports large-scale phishing incidents with mitigation efforts.
Findings
Over 130,000 phishing transactions detected
Losses exceeding $341.9 million from PTXPHISH
Detection accuracy over 99% on the dataset
Abstract
In recent years, a more advanced form of phishing has arisen on Ethereum, surpassing early-stage, simple transaction phishing. This new form, which we refer to as payload-based transaction phishing (PTXPHISH), manipulates smart contract interactions through the execution of malicious payloads to deceive users. PTXPHISH has rapidly emerged as a significant threat, leading to incidents that caused losses exceeding $70 million in 2023 reports. Despite its substantial impact, no previous studies have systematically explored PTXPHISH In this paper, we present the first comprehensive study of the PTXPHISH on Ethereum. Firstly, we conduct a long-term data collection and put considerable effort into establishing the first ground-truth PTXPHISH dataset, consisting of 5,000 phishing transactions. Based on the dataset, we dissect PTXPHISH, categorizing phishing tactics into four primary…
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Taxonomy
TopicsSpam and Phishing Detection · Internet Traffic Analysis and Secure E-voting · Advanced Malware Detection Techniques
