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AFL++ vs Fuzzinator

AFL++

github.com

Fuzzinator

fuzzinator.readthedocs.io

Side by side

FigureAFL++Fuzzinator
Price from€1,666.67/moFree
Free planYesYes
Free trial——
Open source——
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
AndroidYes—
Self-hostedYes—
Plans published21
Spec score · Fuzz Testing Software8.9 (#1)7.8 (#13)
PurposeAFL++ is a coverage-guided fuzzer that mutates input and checks whether it reaches a new path in the target binary.Fuzzinator automates fuzzing tasks including running test generators against software under test, saving unique issues, reducing failing test cases, updating targets, and scheduling fuzz jobs.

Plans

AFL++

  • AGPL-3.0-or-laterFree
  • Commercial license€20,000 a year

AFL++ pricing →

Fuzzinator

  • FuzzinatorFree

Fuzzinator pricing →

In their own words

AFL++

AFL++ is a coverage-guided fuzzer that changes input and checks whether a target binary reaches a new execution path. Its afl-cc compiler supports LTO, LLVM and GCC_PLUGIN instrumentation. The project also lists collision-free coverage, AFLfast++ power schedules, MOpt mutators, laf-intel and redqueen. Documentation covers source-available software, binary-only targets, network services and GUI programs, with build options for source-only, binary-only or combined distributions. A Docker image supports x86_64 and arm64; its example mounts target source at /src. On Linux, the installation guide recommends LLVM 18 or newer and gives LLVM 14 as the minimum. macOS build guidance covers x86_64 and arm64, but afl-clang-lto, afl-gcc-fast and qemu_mode do not work there. Fuzzing can strain hardware, consume substantial memory or disk, and create heavy filesystem activity. AFL++ is available free under AGPL terms; modified versions offered as network services must provide users the corresponding source. A commercial license is listed at €20,000 a year.

Visit github.com

Fuzzinator

Fuzzinator is a free, open-source framework for automating fuzzing jobs against software under test. It runs test generators, stores distinct issues, reduces failing test cases, updates targets and schedules jobs across targets and generators without overloading the workstation. Configuration files and Python snippets let users customize workflows; built-in components handle common scenarios.

Its interfaces include an interactive Web UI, an interactive Text UI for Linux and Mac OS X, and a line-based dump mode for consoles on every platform. Issues and execution statistics are stored in MongoDB, with the documented default URI set to mongodb://localhost/fuzzinator. Reporting to trackers such as Bugzilla or GitHub is optional and must be configured. The framework includes only an example random content generator, so users may need external generators or custom components. Documented requirements are Python 3.10 or later and MongoDB 3.6 or later; Java SE 7 is optional for the Picireny reducer. The documentation lists Linux, macOS and Windows among tested platforms.

Visit fuzzinator.readthedocs.io