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Detail Analysis

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Date:

Status:

Count:

Contributor:

August 4, 2020

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Verified

1

zerofriction.io

Loss Amount:

371,260

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Recovered Amount:

-

Currency:

Dollars, USDC

KYC By:

Audit By:

None

None

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Website:

Twitter:

No data

Discord:

No data

Telegram:

No data

Medium:

No data

Github:

No data

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Key Indicators

Platform:

Type:

Category:

Method:

Multi-Chain

Protocol

Options

Contract Vulnerabilities

Extended Method:

Logic error, no real-time verification of actual balance

Data Sources:

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Opyn, an on-chain options platform, disclosed that its Ethereum put options were maliciously exploited by external participants. Opyn pointed out that all other Opyn contracts except Ethereum put options are not affected by this vulnerability. The attacker doubled the use of oToken and stole the mortgage assets of the put option seller. According to Opyn statistics, a total of 371,260 USDC has been stolen so far. Because the exercise function exercise() in the Opyn ETH Put smart contract does not perform real-time verification of the trader's ETH. According to the business logic of the Opyn platform, the buyer of the put option transfers the corresponding value of ETH to the seller to obtain the digital asset mortgaged by the seller. The cunning attacker first initiates a disguised transaction to himself, and uses the reusable feature of this ETH to initiate a transfer to the seller user again, thereby defrauding the seller's mortgaged digital assets.

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DISCLAIMER: While Zero Friction LLC has used the best efforts in aggregating and maintaining this database, Zero Friction LLC makes no representations or warranties with respect to the accuracy or completeness, and specifically disclaim any implied warranties of merchantability or fitness for any particular purpose. 

Under no circumstances, shall Zero Friction LLC be liable for any loss of profit or funds, any regulatory or governmental penalties, any legal costs, or any other commercial and non-commercial damages, including but not limited to special, incidental, consequential, or other damages from any or all usage of the dataset or information derived from our database.