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Towards Automated Discovery of Asymmetric Mempool DoS in Blockchains

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

Research output: Contribution to journalArticlepeer-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
JournalIEEE Transactions on Software Engineering
DOIs
StateAccepted/In press - 2026

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