# google/fuzzer-test-suite

Set of tests for fuzzing engines

Repository: https://github.com/google/fuzzer-test-suite
Canonical: https://ross.abutalabs.com/products/fuzzer-test-suite
Language: C
License: Apache-2.0
License Family: permissive
Archived: true
Last push: 2021-08-25T17:25:26+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3617, "days_push": 1834, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1471, forks 275 (observed 2026-08-28T04:04:49.284411+00:00)

## What it is
A suite of fuzzing benchmarks derived from real-life C/C++ libraries with interesting bugs and hard-to-reach code paths, designed to evaluate fuzzing engines like libFuzzer and AFL. It is now largely superseded by Google's FuzzBench.

## Use cases
- benchmark a new fuzzing engine against realistic targets
- compare libFuzzer and AFL performance
- find hard-to-reach code paths in real libraries
- evaluate bug-finding tools on known difficult bugs
- set up a fuzzing regression test suite

## When to choose
- you need realistic, historically meaningful fuzzing benchmarks
- you are researching or developing a fuzzer and want comparable baselines
- you want reproducible targets with known bugs

## When to avoid
- you want an actively maintained benchmarking service - use FuzzBench instead
- you need to fuzz your own application rather than benchmark fuzzers
- you need non-C/C++ targets

## Facets
- artifact type: dataset
- maturity: maintenance
- function: fuzzing, benchmarking, testing
- domain: testing, security, developer-tools
- platform: cpp, c
- tags: fuzzing-benchmarks, libfuzzer, afl, coverage-guided-fuzzing, superseded-by-fuzzbench, linux

## Member repositories
- google/fuzzer-test-suite (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:49.284411+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:34:46.232921+00:00, confidence not recorded.
  - readme: https://github.com/google/fuzzer-test-suite (fetched 2026-08-28T04:04:49.284411+00:00, sha ef9cadd4b02d)
- Data as of 2026-08-30T08:39:29.467469+00:00.