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Toward Automated Discovery of Asymmetric Mempool DoS in Blockchains

  • Yibo Wang
  • , Yuzhe Tang
  • , Kai Li
  • , Wanning Ding
    • Syracuse University

    Research output: Contribution to journal › Article › peer-review

    Abstract

    In blockchains, mempool controls transaction flow before consensus, denial of whose service hurts the health and security of blockchain networks. This paper presents mpfuzz, the first mempool fuzzer to find asymmetric DoS bugs by exploring the space of symbolized mempool states and optimistically estimating the promisingness of an intermediate state in reaching bug oracles. Compared to the baseline blockchain fuzzers, mpfuzz achieves a >100× speedup in finding known DETER exploits. Running mpfuzz on major Ethereum clients leads to discovering new mempool vulnerabilities, which exhibit a wide variety of sophisticated patterns, including stealthy mempool eviction and mempool locking. Rule-based mitigation schemes are proposed against all newly discovered vulnerabilities.

    Original languageEnglish
    Pages (from-to)2475-2487
    Number of pages13
    JournalIEEE Transactions on Software Engineering
    Volume52
    Issue number8
    DOIs
    StatePublished - 1 Aug 2026

    Keywords

    • Stateful fuzzing
    • asymmetric DoS
    • blockchain mempool
    • economics of security
    • symbolized fuzzing

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