An automated crypto trading bot named Lobstar Wilde, developed by Nik Pash, has sparked controversy after “accidentally” transferring all memecoin holdings worth approximately $250,000 to a X user claiming they needed money for their uncle’s medical treatment. Initially, the bot was provided with a wallet containing $50,000 worth of SOL for autonomous trading. However, when responding to a request for 4 SOL, the bot sent 5% of its total Lobstar token supply. The recipient quickly sold 53 million tokens, earning about $40,000 due to low liquidity, even though the token’s value later surged to over $420,000.
The incident has sparked debate about the risks of AI agents in digital asset management, especially amid the volatile wave of AI memecoins. Nevertheless, the bot continues to operate, even rewarding tokens to users who complete real-world challenges.
Disclaimer: The information on this page may come from third parties and does not represent the views or opinions of Gate. The content displayed on this page is for reference only and does not constitute any financial, investment, or legal advice. Gate does not guarantee the accuracy or completeness of the information and shall not be liable for any losses arising from the use of this information. Virtual asset investments carry high risks and are subject to significant price volatility. You may lose all of your invested principal. Please fully understand the relevant risks and make prudent decisions based on your own financial situation and risk tolerance. For details, please refer to
Disclaimer.
Related Articles
JPMorgan: DeFi Security Exploits and Stagnant TVL Limit Institutional Adoption
Gate News message, April 23 — JPMorgan analysts led by managing director Nikolaos Panigirtzoglou said that persistent decentralized finance (DeFi) exploits and weak growth continue to limit institutional interest in the sector. The recent Kelp DAO hack wiped approximately $20 billion from DeFi's tot
GateNews5h ago
U.S. Treasury Sanctions Cambodian Senator Over Crypto Scam Network
## Overview
The U.S. Treasury Department sanctioned Cambodian Senator Kok An and 28 entities associated with him on Thursday, according to the Treasury's Office of Foreign Assets Control (OFAC). The action targets what officials describe as a massive crypto scam operation in Southeast Asia.
## The
CryptoFrontier6h ago
Aave Freezes rsETH Reserves Across Five Networks Following KelpDAO Exploit
Gate News message, April 23 — Aave has frozen rsETH reserves across Ethereum Core, Arbitrum, Base, Mantle, and Linea as the recovery effort accelerates following the April 18 KelpDAO exploit that drained 116,500 rsETH, valued at approximately $292 million, from Kelp's cross-chain bridge.
Multiple D
GateNews8h ago
JPMorgan: DeFi hackers are increasingly common, and interest in compression mechanisms to address TVL stagnation is drawing capital into USDT
JPMorgan Chase’s report believes that DeFi continues to face ongoing vulnerabilities, cross-chain bridge and oracle attacks are frequent, causing TVL to stagnate and weakening institutional investors’ willingness to invest, with capital shifting to USDT that is traceable and can be frozen. The KelpDAO and Rhea Finance attacks reveal risk-management risks; centralized stablecoins and custodial solutions are more favored. In the long run, improving this will require going beyond insurance and governance. DeFi will not be able to return to the 2021 era of high TVL, and stablecoins will become even more concentrated.
ChainNewsAbmedia8h ago
Circle Chief Economist Proposes Raising USDC Rates on Aave Amid KelpDAO Fallout
Gate News message, April 23 — Gordon Liao, Circle's chief economist, has proposed raising USDC lending parameters on Aave v3 Ethereum Core this week following a $292 million KelpDAO rsETH exploit that triggered a liquidity crisis across the protocol. Liao's Request for Comment suggests increasing "S
GateNews8h ago
Major CEX Upgrades Fraud Detection System with Machine Learning and Rule Engine, Cuts Response Time to Hours
Gate News message, April 23 — A major centralized exchange announced an overhaul of its anti-fraud system by integrating machine learning models with rule-based engines, implementing a dual-track strategy where models handle long-term defense and rules enable rapid response. The unified framework
GateNews9h ago