DeepTx: Real-Time Transaction Risk Analysis via Multi-Modal Features and LLM Reasoning

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Liu, Yixuan, Li, Xinlei, Li, Yi
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917038619885568
author Liu, Yixuan
Li, Xinlei
Li, Yi
author_facet Liu, Yixuan
Li, Xinlei
Li, Yi
contents Phishing attacks in Web3 ecosystems are increasingly sophisticated, exploiting deceptive contract logic, malicious frontend scripts, and token approval patterns. We present DeepTx, a real-time transaction analysis system that detects such threats before user confirmation. DeepTx simulates pending transactions, extracts behavior, context, and UI features, and uses multiple large language models (LLMs) to reason about transaction intent. A consensus mechanism with self-reflection ensures robust and explainable decisions. Evaluated on our phishing dataset, DeepTx achieves high precision and recall (demo video: https://youtu.be/4OfK9KCEXUM).
format Preprint
id arxiv_https___arxiv_org_abs_2510_18438
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle DeepTx: Real-Time Transaction Risk Analysis via Multi-Modal Features and LLM Reasoning
Liu, Yixuan
Li, Xinlei
Li, Yi
Cryptography and Security
Phishing attacks in Web3 ecosystems are increasingly sophisticated, exploiting deceptive contract logic, malicious frontend scripts, and token approval patterns. We present DeepTx, a real-time transaction analysis system that detects such threats before user confirmation. DeepTx simulates pending transactions, extracts behavior, context, and UI features, and uses multiple large language models (LLMs) to reason about transaction intent. A consensus mechanism with self-reflection ensures robust and explainable decisions. Evaluated on our phishing dataset, DeepTx achieves high precision and recall (demo video: https://youtu.be/4OfK9KCEXUM).
title DeepTx: Real-Time Transaction Risk Analysis via Multi-Modal Features and LLM Reasoning
topic Cryptography and Security
url https://arxiv.org/abs/2510.18438