Poisoning transfers
countPoisoning transfers detected on the latest complete day: zero-value, dust and counterfeit-token transfers from lookalike addresses.
How many lookalike-address poisoning transfers hit wallets each day, and how much was later sent to the poisoned addresses?
Lookalike addresses planted in wallet histories with zero-value and dust transfers, and the funds victims later send to them.
The dashboard as it will open in Vantage. Each figure is named here and arrives with its receipt; until its data is published, its place stays empty.
Poisoning transfers and the wallets they target, per day and chain.
Poisoning transfers detected on the latest complete day: zero-value, dust and counterfeit-token transfers from lookalike addresses.
Distinct wallets that received at least one poisoning transfer on the latest complete day.
Lookalike addresses first seen sending poisoning transfers on the latest complete day.
Poisoning transfers as a share of all stablecoin transfers on the selected chain on the latest complete day.
Poisoning transfers per day, split by method: zero-value transferFrom, dust transfer and counterfeit token.
Payments sent to lookalike addresses and how they were set up.
Value victims sent to lookalike addresses they were poisoned with, over the selected period.
Distinct victims who sent funds to a lookalike address in the selected period.
Value sent to lookalike addresses per day, per chain, valued at the block of each payment.
The largest payments to lookalikes with chain, token, amount, the poisoning transfer and how many characters matched.
Address poisoning plants a fake address in a wallet's history that starts and ends with the same characters as one the wallet really pays. The attacker sends a zero-value or tiny transfer, or a counterfeit token, so the lookalike appears next to genuine payments; a victim who later copies an address from that history sends funds to the attacker. This dashboard counts those poisoning transfers each day and the payments that fell for them.
A poisoning transfer is matched to its target by comparing the lookalike's first and last characters with the victim's recent real counterparties. The losses figure counts only later transfers from a victim to a lookalike it was poisoned with, so each one links to both the poisoning transfer and the mistaken payment.
Every figure will be read at a block, kept with its source and its exact read, and open a receipt anyone can re-check.
How receipts work →Read from chain state and history
An attacker creates an address that looks like one you use, with the same opening and closing characters, and makes it appear in your transaction history through a tiny or zero-value transfer. If you later copy that address from your history, the payment goes to the attacker.
A zero-value or dust transfer from an address that resembles one of your counterparties is the usual sign of address poisoning. It cannot move your funds by itself; the risk is copying that address later. Many tokens let anyone trigger a zero-value transfer that appears to come from you.
No. The poisoning transfer only adds a lookalike entry to your history; funds move only if you send to that address yourself. That is why the losses figure counts only payments from a victim to the exact lookalike it was poisoned with.
USDT moves in large amounts between repeat counterparties on Tron, Ethereum and BNB Chain, which gives attackers many histories to copy, and on chains with low fees poisoning transfers are cheap to send in bulk.
They run vanity address generators that try key pairs until one matches the wanted first and last characters. Each extra character makes the search much harder, so lookalikes match the ends of an address, never the middle, which is where a careful check catches them.
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