PofoliaShared via Pofolia

Applied Sciences· 2026Q2· Review

A Systematic Survey of Smart Contract Fuzzing: Methods, Techniques, and Architectures for Ethereum and Beyond

Luis Alberto López Alvar, Luís de la Torre, Zehua Wang, S. Dormido-Canto

Short summary

A systematic review of 258 publications reveals that coverage-guided greybox fuzzing dominates smart contract vulnerability discovery (51.2% of tools), while LLM-guided fuzzing is the fastest-emerging technique, though most fuzzers explore only a few of eight feedback domains, leaving high-value compositions unexplored.

AI-generated from the title and abstract; the full text is not read.

TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app

The rest is in the Pofolia app

Takeaways, key points and questions to the paper; new summaries every day for your field. Free.

Sign in on the web to open

Field: Information Systems

Information SystemsComputer Science