Trader loss 4,556 ETH (~$12.25M) for address-poisoning scam — Warning to Ethereum traders
One crypto holder lose 4,556 ETH (about $12.25M) after e copy bad address from poisoned transaction history for one address‑poisoning attack. ScamSniffer tok say scammers dey make millions of lookalike vanity addresses and dem dey send dust or zero‑value transactions so the bad addresses go show for victim recent history. The victim suppose send money go 0x6D90CC8Ce83B6D0ACf634ED45d4bCc37eDdD2E48 but by mistake im use 0x6d9052b2DF589De00324127fe2707eb34e592e48; blockchain transfers no fit reverse. Security firms (Cyvers, Immunefi) and researchers (Citi) warn say these industrial‑scale poisoning attempts dey happen every day — ScamSniffer estimate over 1 million poisoning attempts per day for Ethereum. Network activity climb to record 2.8 million daily ETH transactions in January 2026, wey analysts talk partly reflect scam traffic. Report mention similar big incidents: December 2025 loss of about $50M USDT via poisoning script, Saga EVM pause after $7M drain, and Chainalysis data show $17B stolen in 2025 with impersonation scams up 1,400% year‑over‑year. Key trader takeaways: no dey copy addresses from transaction histories; use verified address books, ENS, QR/address whitelisting, or hardware wallets; always send small test transfer first; and monitor wallets for dust transactions. These precautions reduce counterparty risk from address‑impersonation and protect against irreversible loss.
Bearish
Dis waka increase di risk we ETH holders an traders dey feel because e show say social engineering an address impersonation get weakness we fit cause irreversible big loss. For short term, some selling pressure fit rise as cautious traders reduce on‑chain exposure or move funds go cold storage an custodial services, wey go create downward pressure on ETH. Increase for scam activity an higher on‑chain spam fit also raise gas usage an add friction to regular transactions, wey fit discourage speculative activity. For long term, direct price impact suppose limited if platforms an wallets adopt stronger mitigations (address whitelisting, ENS verification, UX changes to prevent copying transaction‑history addresses). But if impersonation scams remain high an repeated high‑value losses continue (including December’s ~50M USDT an recent protocol exploits) market confidence fit suffer an new user adoption fit slow, keeping small negative bias for ETH until systemic defenses improve.