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STIMSMITH

Mutation-Analysis-Guided Fuzzing

Technique
First seen 7/20/2026
Last seen 7/20/2026
Evidence 9 chunks

NEIGHBORHOOD

9 nodes · 15 edges
graph · Mutation-Analysis-Guided Fuzzing · depth=1

RELATIONSHIPS

9 connections
Guiding Greybox Fuzzing with Mutation Testing ← introduces 100% 2e
The paper proposes and develops mutation-analysis-guided fuzzing as a new technique.
Mu2 ← implements 100% 2e
Mu2 implements mutation-analysis-guided fuzzing by incorporating mutation analysis into the greybox fuzzing loop.
Mutation Score uses → 100% 2e
Mutation-analysis-guided fuzzing uses mutation score to guide the fuzzing loop, saving inputs that increase mutation score.
Program Mutant uses → 100% 2e
Mutation-analysis-guided fuzzing runs inputs through program mutants to compute a mutation score and guide corpus selection.
Mutant Pruning uses → 100% 2e
Mutation-analysis-guided fuzzing uses mutant pruning to improve performance by reducing the number of mutants executed per iteration.
Fuzzing Corpus uses → 100% 2e
Mutation-analysis-guided fuzzing saves inputs to a fuzzing corpus when they increase mutation score.
Fuzzing Oracle uses → 100% 2e
Mutation-analysis-guided fuzzing uses a fuzzing oracle (differential or implicit) to determine when a mutant is killed.
Guiding Greybox Fuzzing with Mutation Testing ← evaluates 100% 2e
The paper develops and evaluates mutation-analysis-guided fuzzing against coverage-only fuzzing baselines.
Coverage-Guided Greybox Fuzzing extends → 100% 2e
Mutation-analysis-guided fuzzing extends coverage-guided greybox fuzzing by also saving inputs that improve mutation score.