Shiba Inu Holders Targeted by Sophisticated Wallet Address Spoofing Scam

Published: 2026-01-07 09:45:28 |

A sophisticated wallet address spoofing scam is targeting Shiba Inu (SHIB) holders as the token’s market activity rises. Security group Shibarium Trustwatch warned attackers monitor wallets with regular SHIB activity, then create counterfeit addresses that match the first and last characters of legitimate addresses. Scammers send tiny “dust” transactions from these spoofed addresses so they appear in victims’ transaction histories on explorers like Etherscan. Because many users copy addresses from recent transactions and visually verify only the start and end, victims can paste the fake address and send funds irreversibly to attackers. The attacks have become more frequent alongside SHIB’s recent price and volume gains; at the time of reporting SHIB traded near $0.00000922. Traders are advised to verify the full wallet address before every transfer, avoid copying addresses from public transaction histories, and use safer options such as address whitelists, QR codes or in-wallet saved contacts to reduce the risk of wallet spoofing and dusting attacks. Primary keywords: Shiba Inu, SHIB, wallet spoofing scam. Secondary keywords: dusting attack, address spoofing, Etherscan, wallet security.

Neutral

The scam increases operational risk for SHIB holders but does not directly affect protocol fundamentals or token supply. In the short term, heightened fraud reports can reduce trader confidence, potentially increasing sell pressure among retail holders who feel vulnerable; this could cause minor, transient bearish moves. However, the scam is an off-chain user-security issue rather than a technical attack on Shiba Inu or Shibarium, so it is unlikely to produce sustained price declines. Traders focused on SHIB may react by tightening withdrawal and transfer practices, which could slightly dampen on-chain activity. Overall, market impact should be limited and temporary if users follow recommended security precautions; therefore the net classification is neutral.