AI Protocol Hack
What happened
On March 1, 2024, a wallet-drainer phishing operation stole about 113.1 million ALI and about 161,597 PUSH from one ALI holder, worth roughly $4.3-4.4 million. The victim had signed a malicious Uniswap Permit2 PermitBatch message. The drainer used that signature in a single transaction (0xc943ea893065cc7deac1a42d1670da1a9ebeb9fc1807bf3d835224dd499417cc) to move the tokens from 0x7653C9364bB800E1136aa0634c4629eBe76A744E to three phishing-labelled addresses, including 0x2ee9a1751b6c8034961cb192bf3a8b9110621edb.
Scam Sniffer flagged the theft, and ZachXBT coordinated with the AI Protocol team on an emergency community vote to burn roughly 110 million of the stolen ALI before the attacker could sell it. The burn stopped the attacker from profiting on those tokens, but it did not return anything to the victim.
How it happened
- The victim signed an off-chain Uniswap Permit2
PermitBatchmessage that granted a phishing-controlled spender access to the wallet's ALI and PUSH. - At 02:07 UTC on March 1, 2024, a phishing-labelled address submitted the signed permits and transfers in one batched
execTransactioncall (tx0xc943ea89...17cc). - Permit2 recorded the approvals, and about 113.1M ALI and 161,597 PUSH moved from the victim to three phishing-labelled addresses.
- ZachXBT coordinated with the AI Protocol team, and the community voted to burn about 110 million of the stolen ALI, so the attacker could not cash them out.
Protocol details
Evidence
- report @zachxbt incident report twitter.com
- report @The_AI_Protocol incident report twitter.com
- report @realScamSniffer incident report twitter.com
- transaction Etherscan transaction 0xc943ea89...17cc etherscan.io
- address etherscan.io address 0x2ee9…1edb etherscan.io
- address etherscan.io address 0x7653…744E etherscan.io
- analysis "The AI Protocol" burns tokens after holder suffers $4.3 million theft web3isgoinggreat.com
- analysis AI Protocol community votes to burn approximately 110 million ALI tokens stolen by hackers bitget.com
Understand the attack patterns
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