Crypto cybersecurity firm Trugard and onchain trust protocol Webacy have developed an artificial intelligence-based system for detecting crypto wallet address poisoning.
According to a May 21 announcement shared with Cointelegraph, the new tool is part of Webacy’s crypto decisioning tools and “leverages a supervised machine learning model trained on live transaction data in conjunction with onchain analytics, feature engineering and behavioral context.”
The new tool purportedly has a success score of 97%, tested across known attack cases. “Address poisoning is one of the most underreported yet costly scams in crypto, and it preys on the simplest assumption: That what you see is what you get,” said Webacy co-founder Maika Isogawa.
Address poisoning detection infographic. Source: Trugard and Webacy
Crypto address poisoning is a scam where attackers send small amounts of cryptocurrency from a wallet address that closely resembles a target’s real address, often with the same starting and ending characters. The goal is to trick the user into accidentally copying and reusing the attacker’s address in future transactions, resulting in lost funds.
The technique exploits how users often rely on partial address matching or clipboard history when sending crypto. A January 2025 study found that over 270 million poisoning attempts occurred on BNB Chain and Ethereum between July 1, 2022, and June 30, 2024. Of those, 6,000 attempts were successful, leading to losses over $83 million.