Web3 anti-scam sleuth uncovers phishing attack that drained $4.2m using a malicious opcode

nexninja
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An unknown consumer misplaced $4.2 million price of aEthWETH and aEthUNI tokens on Jan. 22.

In keeping with an X crypto researcher underneath the deal with @realscamsniffer, an unidentified particular person has misplaced aEthWETH and aEthUNI amounting to $4.2 million after verifying transactions with a falsified ERC-20 permission signature.

The sufferer signed approvals for a number of transactions with an ERC-20 authorization that used an opcode contract to bypass safety warnings that created new addresses for every signature earlier than the transaction had been executed, which redirected victims’ funds from the sufferer to the brand new unauthorized deal with.

Opcode malware within the context of cryptocurrency hacks refers to malicious software program that exploits the operation codes used within the scripting languages of varied cryptocurrency platforms. For example, they may redirect cryptocurrency to the attacker’s deal with, permit the attacker to spend different customers’ funds, or freeze property inside a sensible contract.

The X consumer warned that merchants should be cautious when signing and approving transactions, paying specific consideration to warnings from Web3 pockets apps. Moreover, researchers advocate a course of often known as do your personal analysis, or DYOR, in the case of all issues crypto, which suggests taking duty and information about types of phishing and scams of all shapes and stripes.

In November 2023, a Uniswap consumer who created a liquidity pool lost greater than $700,000 in seconds after an inflow of MEV bots, possible attributable to a configuration error. The transaction attracted the eye of MEV bots, which was centered on maximizing income by shuffling transactions in a block.

In keeping with an annual report by the crypto sleuth @realscamsniffer, customers lost nearly $295 million to phishing assaults in 2023, with phishing taking the cake as probably the most generally used type of rip-off by hackers within the area.


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