The SWC-based Security Analysis Tool for Smart Contract Vulnerability Detection

Decentralized finance (DeFi) has exploded in popularity with a billion-dollar market cap. While uncollateralized lending, known as a flash loan, emerged from DeFi, it has become a primary tool used by attackers to drain investment tokens from DeFi networks. The existing countermeasures seem practical, but no comprehensive quantitative analysis framework was available to test them. This paper proposes the Flash loan Attack Analysis (FAA) framework, which aids security practitioners in understanding the DeFi system’s effects on preventative methods when various factors change. The quantitative predictions can help security professionals in identifying hidden dangers and more efficiently adopting countermeasure strategies. The simulation predicts that the existing strategy, fair reserves, can fully protect the platform in a typical market environment; however, in a highly volatile market where the token price drops by 60% in a single hour, it will be broken, causing more than $8 million in damage.

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The SWC-based Security Analysis Tool for Smart Contract Vulnerability Detection

Cited by 3 publications

References 16 publications

Smart Contract Vulnerability detection using Natural Language Processing

Smart Contract Vulnerability detection using Natural Language Processing

SCVHunter: Smart Contract Vulnerability Detection Based on Heterogeneous Graph Attention Network

The Flash Loan Attack Analysis (FAA) Framework—A Case Study of the Warp Finance Exploitation

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