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Head-to-head · Fuzz Testing Software

AFL++ vs Jazzer

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score AFL++ #4 in Fuzz Testing Software 8.7/10 Free plan Free plan✓ 3 of 3 features Visit AFL++
Jazzer #7 in Fuzz Testing Software 8.2/10 Free plan Free plan✓ 3 of 3 features Visit Jazzer

AFL++ leads on 0 checks, Jazzer on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAFL++ · 8.7/10
  • Free planboth

AFL++ scores higher on our rubric for fuzz testing software: 8.7 against 8.2 out of 10; our editors rank them #4 and #7.

AFL++ is the better fit for general-purpose native and binary fuzzing. Jazzer is the better fit for JVM application and library fuzzing.

  • AFL++ fits best

    General-purpose native and binary fuzzing

  • Jazzer fits best

    JVM application and library fuzzing

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Side by side

Feature AFL++ 8.7/10 Visit ↗ Jazzer 8.2/10 Visit ↗
At a glance
Editor score 8.7 8.2
Ranking #4 in Fuzz Testing Software #7 in Fuzz Testing Software
Best for General-purpose native and binary fuzzing JVM application and library fuzzing
Pricing model Free Free
Starting price Free plan Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Self-hosted
Platforms Linux, macOS, Android, Windows Windows, macOS, Linux
Support Community, Docs Docs, Community
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features AFL++ 3/3 · Jazzer 3/3
Coverage guidance ✓ ✓
Crash triage ✓ ✓
CI/CD support ✓ ✓
Specs
Input generation methods mutation mutation, generation
Target types source-code targets, binary-only targets, file inputs, stdin inputs, Android native libraries, Win32 PE binaries JVM applications, Java, Kotlin, Scala, Clojure, JNI/native libraries
Execution mode Local Local
Supported languages C, C++, Python, Rust Java, Kotlin, Scala, Clojure
Our review
Pros
  • 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
  • Coverage-guided fuzzing with automatic input generation and mutation
  • JUnit 5, Maven, Gradle, and Bazel integrations
  • Crash reproduction, minimization, sanitizers, and OSS-Fuzz support
Cons
  • 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
  • Primarily focused on JVM ecosystems
  • Execution is local rather than hosted
  • Closed-source usage requires contacting Code Intelligence
Our verdict

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…

Read the review →

Jazzer is an open-source, coverage-guided, in-process fuzzer for the Java Virtual Machine. It is suited to developers and security teams testing JVM applications and libraries written in Java, Kotlin, Scala, or Clojure, including targets…

Read the review →
  1. AFL++Fuzz Testing Software 8.7Free plan
  2. JazzerFuzz Testing Software 8.2Free plan

Strengths and trade-offs

  • AFL++ — 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
  • Jazzer — where it wins

    • Coverage-guided fuzzing with automatic input generation and mutation
    • JUnit 5, Maven, Gradle, and Bazel integrations
    • Crash reproduction, minimization, sanitizers, and OSS-Fuzz support

    Where it doesn't

    • Primarily focused on JVM ecosystems
    • Execution is local rather than hosted
    • Closed-source usage requires contacting Code Intelligence

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update