Ross ROSS = Recommend OSS · open-source software intelligence for agents

Jackalope

Binary, coverage-guided fuzzer for Windows, macOS, Linux and Android observed · 2026-08-28

github.com/googleprojectzero/Jackalope · C++ · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 99
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2087
  • days_rel: n/a
  • days_push: 8
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1380 stars · 157 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Jackalope is a customizable, coverage-guided fuzzer for black-box binaries built on the TinyInst instrumentation library by Google Project Zero. It supports distributed fuzzing across machines, custom mutators including a grammar-based mutation engine, and runs on Windows, macOS, Linux, and Android.

Use cases

  • fuzz a closed-source Windows binary for memory corruption bugs
  • fuzz macOS applications without source code
  • run a distributed fuzzing campaign across multiple machines
  • write custom mutators for a proprietary file format
  • grammar-based fuzzing of a parser accepting structured input
  • fuzz an Android native library
  • fuzz a Linux target built with SanitizerCoverage

When to choose

  • you need to fuzz black-box binaries on Windows or macOS where few alternatives exist
  • you want a fuzzer that is easy to customize with custom mutators, instrumentation, or sample delivery
  • you need to parallelize fuzzing across threads or multiple machines
  • you are doing vulnerability research on closed-source targets

When to avoid

  • you have source code and just want a mature off-the-shelf fuzzer like AFL++ or libFuzzer
  • you need advanced built-in mutation strategies out of the box
  • you want a low-effort setup without writing or configuring custom components for unusual targets

Facets

library · maturity active

fuzzing security penetration-testing vulnerability-scanning security developer-tools testing windows cpp coverage-guided-fuzzing binary-fuzzer tinyinst black-box-fuzzing grammar-based-mutation distributed-fuzzing vulnerability-research macos linux android

1 source

Member repositories

RepositoryRoleHealth v2
googleprojectzero/Jackalopemain77
googleprojectzero/TinyInstsdk77

For agents

markdown · JSON · MCP: product_card(name="googleprojectzero/Jackalope")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem