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Grey-Box Fuzzing

Technique ☆ WATCH ⎘ SHARE

First seen 6/19/2026

Last seen 7/20/2026

Evidence 16 chunks

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NEIGHBORHOOD

4 nodes · 5 edges

graph · Grey-Box Fuzzing · depth=1

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RELATIONSHIPS

7 connections

Code Coverage uses → 95% 2e evidence

Greybox fuzzing uses code coverage as feedback to guide mutation of test inputs.

Black-Box Fuzzing extends → 90% 2e evidence

Greybox fuzzing lies between whitebox and blackbox fuzzing, extending blackbox with lightweight analysis.

JQF ← implements 95% 2e evidence

JQF is a greybox fuzzing framework that instruments JVM bytecode for collecting code coverage.

SiliFuzz: Fuzzing CPUs by Proxy ← compares with 85% 1e evidence

The paper contrasts SiliFuzz with greybox fuzzing applied to RTL models.

Coverage-Guided Mutation-Based Fuzzing implements → 95% 1e evidence

Greybox fuzzing is another name for coverage-guided mutation-based fuzzing.

Coverage-based Greybox Fuzzing ← extends 100% 1e evidence

CGF is a specialization of greybox fuzzing that uses code coverage as feedback.

AFL ← implements 98% 1e evidence

AFL is classified as a grey-box fuzzer.