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“Uncle Injured by Lobster” Scam Leads to $440,000 Loss: Are AI Agents Really This Easy to Exploit?

On February 22, 2026, Lobstar Wilde, an autonomous AI trading agent on Solana, mistakenly transferred 52.4 million LOBSTAR tokens (worth approximately $440,000) to a stranger’s wallet after a user’s social media plea: “My uncle got tetanus from a lobster bite and needs 4 SOL for treatment.” The agent, created by an OpenAI employee three days earlier with $50,000 in SOL, intended to send only 52,439 tokens—equivalent to 4 SOL—but misread decimal places, resulting in a transfer three orders of magnitude larger. The incident exposed critical vulnerabilities in AI agents managing on-chain assets: irreversible execution, susceptibility to social engineering, and flawed state management. After a session restart due to a tool error, the agent reconstructed its identity from logs but failed to verify its actual wallet balance, leading to the erroneous transaction. This case highlights broader risks as AI agents gain autonomy in Web3 and Web4.0 ecosystems: lack of rollback mechanisms, near-zero-cost attack surfaces, and internal state synchronization failures. Proposals to improve safety include multi-signature approvals for large transfers, mandatory state verification after resets, and human oversight layers. The event underscores the need for robust infrastructure before AI agents can safely participate in decentralized economies.

marsbitHace 12 hora(s)

“Uncle Injured by Lobster” Scam Leads to $440,000 Loss: Are AI Agents Really This Easy to Exploit?

marsbitHace 12 hora(s)

When Depth Becomes an Illusion: Polymarket Faces 'Order Attack' Stress Test

A sophisticated "order attack" is exploiting a critical vulnerability in Polymarket's hybrid off-chain matching/on-chain settlement system. For less than $0.10 in gas fees on Polygon, an attacker can initiate a trade and then, in the brief window before on-chain execution, drain their wallet via a high-gas transfer. This causes the initial trade to fail on-chain due to insufficient funds. However, Polymarket's off-chain system responds by forcibly removing all the legitimate market maker orders that were matched with the failed transaction. This attack has two primary profit methods. First, attackers clear the order book of competitors, create a liquidity vacuum, and then place their own orders with artificially wide spreads to monopolize trading. Second, they "hunt" automated trading bots: after a trade is matched off-chain, a bot hedges its new position, but the attacker then forces the original trade to fail on-chain. This leaves the bot with an unhedged, risky position, which the attacker exploits for profit. One identified attacker address, created in February 2026, reportedly profited over $16,000 in a single day by targeting just 7 markets. The attack severely undermines market maker confidence, threatens the platform's liquidity, and exposes a fundamental design flaw. While the community has developed monitoring tools, Polymarket team has not yet issued an official fix.

比推Ayer 04:52

When Depth Becomes an Illusion: Polymarket Faces 'Order Attack' Stress Test

比推Ayer 04:52

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