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Study Finds Flash Loan Attacks Drained $1.2B From DeFi Between 2020 and 2024

A study reported by Decrypt found that flash loan attacks drained $1.2 billion from DeFi between 2020 and 2024. Researchers scanned more than 20 billion transactions and found the attacks grew more sophisticated and less predictable over the period. Decrypt reported the study's findings on October 6, 2026.

A study reported by Decrypt found that flash loan attacks drained $1.2 billion from DeFi between 2020 and 2024. Researchers scanned more than 20 billion transactions and found the attacks grew more sophisticated and less predictable over the period. Decrypt reported the study's findings on October 6, 2026.

Key facts

  • A study found flash loan attacks drained $1.2 billion from DeFi between 2020 and 2024
  • Researchers scanned more than 20 billion transactions for the study
  • The study found the attacks grew more sophisticated and less predictable over the 2020-2024 period
  • Decrypt reported the study's findings on October 6, 2026
  • The study was conducted by the University of Winchester
  • The precise total drained by flash loan attacks from DeFi was $1.211 billion
  • The study highlights an urgent need for enhanced security measures and regulatory frameworks to protect DeFi users from evolving threats

Sources · 3 sources

  1. CB

    Crypto BriefingArticle ·

    Flash loan attacks drained $1.211 billion from DeFi, University of Winchester study finds The study highlights the urgent need for enhanced security measures and regulatory frameworks to protect DeFi users from evolving threats. The post Flash loan attacks drained $1.211 billion from DeFi, University of Winchester study finds appeared first on Crypto Briefing .

    Open source
  2. DE

    Decrypt@DecryptMediaPost on X ·

    Flash Loan Attacks Drained $1.2B From DeFi Between 2020 and 2024: Study https://t.co/77d9YboCS5

    Open source
  3. DE

    DecryptArticle ·

    Flash Loan Attacks Drained $1.2B From DeFi Between 2020 and 2024: Study Attacks grew more sophisticated and less predictable over the period, according to researchers who scanned more than 20 billion transactions.

    Open source