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hardware fuzzing

Technique

Hardware fuzzing applies fuzzing-style test generation to hardware verification. In the processor-fuzzing evidence, test inputs are evaluated with RTL simulation and often checked against an ISA-level reference model; coverage feedback can include hardware-specific state signals such as CSR transitions.

First seen 5/28/2026
Last seen 6/5/2026
Evidence 7 chunks
Wiki v2

WIKI

Overview

Hardware fuzzing is fuzzing applied to hardware designs. In the processor-fuzzing setting, the target design is evaluated through RTL simulation, and RTL designs are commonly expressed in hardware description languages such as Verilog or VHDL. Processor fuzzers may run the same generated input on both an RTL simulator and a reference model, such as an ISA simulator. [C1]

How processor-oriented hardware fuzzing works

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NEIGHBORHOOD

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RELATIONSHIPS

9 connections
TheHuzz ← implements 90% 3e
TheHuzz implements hardware fuzzing using multiple coverage metrics.
software fuzzing derived from → 100% 2e
Hardware fuzzing is inspired by and adapted from software fuzzing.
Coverage-based Greybox Fuzzing uses → 90% 2e
Hardware fuzzing adapts Coverage-based Greybox Fuzzing for processor RTL verification.
differential testing uses → 90% 2e
Hardware fuzzing uses differential testing to compare RTL and ISA simulator outputs.
Processor Verification implements → 95% 2e
Hardware fuzzing is used as an approach to processor verification.
TurboFuzz ← implements 100% 2e
TurboFuzz implements hardware fuzzing for processor verification.
ProcessorFuzz ← implements 100% 1e
ProcessorFuzz implements hardware fuzzing for processor verification.
Fuzzing extends → 90% 1e
Hardware fuzzing is an adaptation of software fuzzing techniques applied to hardware verification.
Register-Transfer Level uses → 100% 1e
Hardware fuzzing targets Register-Transfer Level designs.

LINKED ENTITIES

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ProcessorFuzz IMPLEMENTS Extracted graph relationship
software fuzzing DERIVED_FROM Extracted graph relationship
Register-Transfer Level USES Extracted graph relationship
TheHuzz IMPLEMENTS Extracted graph relationship

CITATIONS

7 sources
7 citations — click to expand
[1] C1: In processor-oriented hardware fuzzing, test inputs are evaluated with RTL simulation; RTL designs are commonly written in HDLs such as Verilog or VHDL, and processor fuzzers may compare RTL simulation with an ISA reference model. ProcessorFuzz: Processor Fuzzing with Control and Register Coverage
[2] C2: ProcessorFuzz uses a seed corpus, scheduling and mutation, ISA simulation, transition tracking, RTL simulation, and trace comparison; mismatches are treated as potential bugs requiring confirmation. ProcessorFuzz: Processor Fuzzing with Control and Register Coverage
[3] C3: Many software fuzzers focus on memory-safety failures, while semantic or logic bugs are harder to detect; processor fuzzers use differential testing by comparing RTL simulator behavior with an ISA simulator reference model. ProcessorFuzz: Processor Fuzzing with Control and Register Coverage
[4] C4: ProcessorFuzz proposes CSR-transition coverage; CSRs are ISA system registers that control or hold architectural state, and their transitions guide fuzzing toward distinct processor states. ProcessorFuzz: Processor Fuzzing with Control and Register Coverage
[5] C5: ProcessorFuzz uses ISA simulation in its coverage feedback mechanism to identify interesting inputs rapidly; ISA simulation was reported as 79× faster than RTL simulation for BOOM. ProcessorFuzz: Processor Fuzzing with Control and Register Coverage
[6] C6: ProcessorFuzz was evaluated on three open-source RISC-V processors and was reported to trigger bugs 1.23× faster than DIFUZZRTL, reveal eight new processor bugs, and reveal one reference-model bug. ProcessorFuzz: Processor Fuzzing with Control and Register Coverage
[7] C7: TheHuzz is mentioned in the ProcessorFuzz evidence as having 71% runtime overhead in a comparison of fuzzing-related instrumentation overheads. ProcessorFuzz: Processor Fuzzing with Control and Register Coverage