SpinalFuzz

Tool

SpinalFuzz is a coverage-guided fuzzing tool for SpinalHDL hardware designs. The available evidence identifies it as a 2022 European Test Symposium work by Katharina Ruep and Daniel Große, and describes it as automating input-corpus and fuzzer-harness generation.

First seen 5/26/2026

Last seen 5/29/2026

Evidence 2 chunks

Wiki v1

WIKI

Overview

SpinalFuzz is a tool for applying coverage-guided fuzzing to SpinalHDL designs. It is identified in the literature as “SpinalFuzz: Coverage-Guided Fuzzing for SpinalHDL Designs,” authored by Katharina Ruep and Daniel Große and published in the 2022 European Test Symposium.

Purpose and scope

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RELATIONSHIPS

3 connections

Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing ← mentions 90% 2e

The paper mentions SpinalFuzz as a related fuzzing tool for SpinalHDL designs.

SpinalHDL uses → 90% 2e

SpinalFuzz is a fuzzer targeting SpinalHDL designs.

Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing ← compares with 70% 1e

The paper mentions SpinalFuzz as a related fuzzing approach for SpinalHDL designs.

CITATIONS

4 sources

4 citations — click to collapse

[1] SpinalFuzz is a coverage-guided fuzzing tool for SpinalHDL designs. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing

[2] SpinalFuzz was authored by Katharina Ruep and Daniel Große and published in 2022 in the European Test Symposium. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing

[3] SpinalFuzz automates generation of the input corpus and fuzzer harness. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing

[4] SpinalFuzz is cited as one of the relatively few proposed fuzzing approaches for hardware verification. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing