Differential Fuzzing

Technique

First seen 6/6/2026

Last seen 6/9/2026

Evidence 10 chunks

NEIGHBORHOOD

4 nodes · 5 edges

graph · Differential Fuzzing · depth=1

RELATIONSHIPS

4 connections

DiFuzzRTL ← implements 100% 4e

DIFUZZRTL implements differential fuzzing by comparing RTL simulation results with ISA golden model results.

Mishegos ← implements 100% 2e

Mishegos is described as a differential fuzzer for x86_64 instruction decoders, integrating the sliding mutation approach into a differential fuzzing scheme.

golden model uses → 100% 2e

Differential fuzzing uses a golden model to compare against RTL execution results.

Cross-Checking Execution Results uses → 100% 1e

Differential fuzzing relies on cross-checking execution results to identify discrepancies.