WasmRef-Isabelle: A Verified Monadic Interpreter and Industrial Fuzzing Oracle for WebAssembly

Author:

Watt Conrad1ORCID,Trela Maja2ORCID,Lammich Peter3ORCID,Märkl Florian4ORCID

Affiliation:

1. University of Cambridge, UK

2. University of Cambridge, UK / Jane Street, UK

3. University of Twente, Netherlands

4. TU Munich, Germany

Abstract

We present WasmRef-Isabelle, a monadic interpreter for WebAssembly written in Isabelle/HOL and proven correct with respect to the WasmCert-Isabelle mechanisation of WebAssembly. WasmRef-Isabelle has been adopted and deployed as a fuzzing oracle in the continuous integration infrastructure of Wasmtime, a widely used WebAssembly implementation. Previous efforts to fuzz Wasmtime against WebAssembly's official OCaml reference interpreter were abandoned by Wasmtime's developers after the reference interpreter exhibited unacceptable performance characteristics, which its maintainers decided not to fix in order to preserve the interpreter's close definitional correspondence with the official specification. With WasmRef-Isabelle, we achieve the best of both worlds - an interpreter fast enough to be useable as a fuzzing oracle that also maintains a close correspondence with the specification through a mechanised proof of correctness. We verify the correctness of WasmRef-Isabelle through a two-step refinement proof in Isabelle/HOL. We demonstrate that WasmRef-Isabelle significantly outperforms the official reference interpreter, has performance comparable to a Rust debug build of the industry WebAssembly interpreter Wasmi, and competes with unverified oracles on fuzzing throughput when deployed in Wasmtime's fuzzing infrastructure. We also present several new extensions to WasmCert-Isabelle which enhance WasmRef-Isabelle's utility as a fuzzing oracle: we add support for a number of upcoming WebAssembly features, and fully mechanise the numeric semantics of WebAssembly's integer operations.

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

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