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AFL++

AFL++: A broad, free fuzzer for native code, binaries, libraries, and file-processing tools. Ranked #4 of 25 in Fuzz Testing Software by our editors (8.7/10); pricing: Free plan; best for general-purpose native and binary fuzzing.

8.7/10Editor score
AFL++8.7 Visit AFL++

At a glance

  • Editor score
    8.7 / 10
  • Pricing
    Free plan
  • Best for
    General-purpose native and binary fuzzing
  • Free plan
    Yes
  • Paid from
    Free
  • Input generation methods
    mutation
  • Founded
    2019
  • Facts checked
    20 Sep 2026
AFL++ screenshot
  • Where it wins

    • Supports source and binary-only fuzzing across four platforms
    • Combines persistent execution, custom mutators, and parallel fuzzing
    • Includes crash triage, minimization, dictionaries, and CI support
  • Where it doesn't

    • Local execution puts setup and operations on the user
    • Its primary focus is native programs and selected binary targets
    • Mutation-based input generation may not suit every testing strategy

Our verdict on AFL++

AFL++ is an open-source, coverage-guided fuzzer for developers and security researchers testing programs and libraries. It targets file-processing programs, command-line tools, native libraries, and selected binary targets. Supported target types include source-code targets, binary-only targets, file inputs, stdin inputs, Android native libraries, and Win32 PE binaries. AFL++ covers Linux, macOS, Android, and Windows, with language support for C, C++, Python, and Rust.

Its main strength is breadth within native and binary fuzzing. Source targets can use LLVM or GCC-plugin instrumentation, while QEMU, FRIDA, Unicorn, and related modes support binary-only targets. Persistent execution and in-memory test-case delivery can support faster target cycles, while custom mutators in C/C++ and Python extend input-generation workflows. User-supplied and automatically generated dictionaries add another way to shape mutation campaigns. Parallel fuzzing with corpus synchronization supports distributed work across fuzzing processes.

AFL++ also covers the operational parts of a fuzzing workflow: it collects crashes and hangs, supports crash exploration and test-case minimization, and provides a Docker image for installation and execution. Its CI/CD support fits teams that want fuzzing in development workflows, while local execution makes it a tool for environments where users manage the runtime themselves. Choose AFL++ for a free, open-source option with wide instrumentation and target coverage. An alternative may fit better when the priority is a hosted service, a managed interface, or testing approaches beyond mutation-focused native and binary targets.

Your product? Our editors can test AFL++ in depth and publish a review, labelled as paid · from $149/mo →

AFL++ pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on github.com

AFL++ fact sheet

Free planYes
Paid fromFree
Input generation methodsmutation
Target typessource-code targets, binary-only targets, file inputs, stdin inputs, Android native libraries, Win32 PE binaries
Coverage guidanceYes
Crash triageYes
Execution modeLocal
Supported languagesC, C++, Python, Rust
CI/CD supportYes
DeploymentSelf-hosted
PlatformsLinux, macOS, Android, Windows
SupportCommunity, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
PricingFree plan
Websitegithub.com
Facts checked20 Sep 2026

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AFL++ vs the competition

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Also Ranked In

AFL++ is ranked in 4 of our directories.

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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used AFL++ for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

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Featured on iTechGuides

Featured on iTechGuides — AFL++ 8.7/10

AFL++ is listed in our Fuzz Testing Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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