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ProcessorFuzz

Tool

ProcessorFuzz is a processor fuzzing tool presented in the paper “ProcessorFuzz: Processor Fuzzing with Control and Status Registers Guidance.” The available evidence describes it as a processor fuzzer built in the context of coverage-based greybox fuzzing and differential testing for hardware, where RTL simulation outputs are compared against ISA simulation outputs to find potential processor bugs.

First seen 5/28/2026
Last seen 6/8/2026
Evidence 57 chunks
Wiki v1

WIKI

Overview

ProcessorFuzz is a processor fuzzing tool introduced in the paper “ProcessorFuzz: Processor Fuzzing with Control and Status Registers Guidance.” The paper positions processor fuzzing as a pre-silicon dynamic verification approach for complex processors, where exhaustive verification is considered unrealistic because processor state spaces are very large and verification resources are limited.

Verification model

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NEIGHBORHOOD

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RELATIONSHIPS

50 connections
Control and Status Registers uses → 100% 11e
ProcessorFuzz monitors CSR transitions to guide fuzzing.
DiFuzzRTL ← compares with 100% 10e
ProcessorFuzz is compared against DIFUZZRTL in terms of bug-finding speed.
Spike ISA simulator uses → 100% 9e
ProcessorFuzz uses the Spike ISA simulator to capture CSR transitions.
ISA Simulation uses → 100% 7e
ProcessorFuzz uses ISA simulation to get feedback and compare with RTL simulation
Coverage-based Greybox Fuzzing implements → 95% 6e
ProcessorFuzz implements coverage-based greybox fuzzing adapted for hardware processors.
differential testing implements → 95% 6e
ProcessorFuzz uses differential testing by comparing ISA simulator output with RTL simulator output.
mutation engine uses → 100% 6e
ProcessorFuzz applies a mutation engine to generate new test inputs from interesting ones.
Transition Unit uses → 100% 4e
ProcessorFuzz employs a Transition Unit to extract and evaluate CSR transitions.
RTL Simulation uses → 100% 4e
ProcessorFuzz uses RTL simulation and trace comparison for bug detection
Verilator uses → 100% 4e
ProcessorFuzz uses Verilator for RTL simulation of processor designs.
CSR-transition coverage implements → 100% 4e
ProcessorFuzz implements the CSR-transition coverage metric to guide fuzzing.
Dromajo uses → 100% 4e
ProcessorFuzz uses Dromajo as a reference model for BlackParrot core verification.
ISA simulation uses → 100% 4e
ProcessorFuzz uses ISA simulation to rapidly evaluate test inputs for coverage.
extended ISA trace log uses → 100% 4e
ProcessorFuzz generates and processes extended ISA trace logs containing CSR values.
Differential Testing implements → 100% 3e
ProcessorFuzz uses differential testing by comparing RTL and ISA simulation outputs.
BOOM evaluates → 100% 3e
ProcessorFuzz is evaluated using the BOOM out-of-order processor.
Transition Map uses → 100% 3e
ProcessorFuzz uses the Transition Map to store and check CSR transitions.
Coverage-based Greybox Fuzzing implements → 95% 3e
ProcessorFuzz uses coverage-guided fuzzing with CSR-transition coverage metric
Physical Memory Protection mentions → 85% 3e
ProcessorFuzz discovered a bug in Dromajo related to Physical Memory Protection checks.
CSR-transition coverage implements → 100% 2e
ProcessorFuzz implements the CSR-transition coverage metric as its core feedback mechanism.
RISC-V Rocket Core evaluates → 100% 2e
ProcessorFuzz is evaluated using the RISC-V Rocket Core processor.
BlackParrot evaluates → 100% 2e
ProcessorFuzz is evaluated using the BlackParrot processor.
Finite State Machine uses → 90% 2e
ProcessorFuzz aims to explore different FSM states of the processor.
Floating-Point Unit Verification evaluates → 90% 2e
ProcessorFuzz can be configured to focus on floating-point unit verification.
Time-to-Exposure uses → 95% 2e
Time-to-Exposure is used as a metric to evaluate ProcessorFuzz
Sadullah Canakci authored by → 100% 2e
ProcessorFuzz is proposed by Sadullah Canakci as part of his dissertation
Processor Fuzzing implements → 98% 2e
ProcessorFuzz is specifically tailored for fuzzing processors
CSR-transition coverage uses → 99% 2e
ProcessorFuzz uses CSR-transition coverage as its feedback metric
seed corpus uses → 100% 2e
ProcessorFuzz populates and uses a seed corpus of assembly programs.
Differential Testing uses → 90% 2e
ProcessorFuzz uses differential testing by comparing ISA and RTL simulation traces
assembly program test input uses → 100% 2e
ProcessorFuzz uses assembly programs as test inputs for fuzzing.
RISC-V uses → 95% 2e
ProcessorFuzz is evaluated on RISC-V processor implementations
Seed Scheduling uses → 85% 2e
ProcessorFuzz uses coverage feedback to guide seed scheduling
RTL simulation uses → 100% 2e
ProcessorFuzz launches RTL simulation for inputs that pass the ISA simulation filter.
Rocket Core evaluates → 100% 2e
ProcessorFuzz was evaluated on the Rocket Core processor.
BOOM Core evaluates → 100% 2e
ProcessorFuzz was evaluated on the BOOM Core processor.
BlackParrot Core evaluates → 100% 2e
ProcessorFuzz was evaluated on the BlackParrot Core processor.
Rocket Core evaluates → 100% 2e
ProcessorFuzz was evaluated using the Rocket Core processor.
Hardware fuzzing uses → 100% 2e
ProcessorFuzz is a hardware fuzzing tool for processor RTL verification.
BOOM Core evaluates → 100% 2e
ProcessorFuzz was evaluated using the BOOM Core processor.
ProcessorFuzz paper ← introduces 100% 2e
The ProcessorFuzz paper introduces the ProcessorFuzz tool as a novel processor fuzzer.
BlackParrot Core evaluates → 100% 2e
ProcessorFuzz was evaluated using the BlackParrot Core processor.
RISC-V ISA uses → 95% 2e
ProcessorFuzz targets RISC-V based processors designed in different HDLs.
mstatus CSR mentions → 100% 2e
ProcessorFuzz monitors mstatus CSR transitions as part of its coverage metric.
fflags CSR mentions → 100% 2e
ProcessorFuzz monitors fflags CSR transitions for floating-point state tracking.
privilege mode mentions → 90% 2e
ProcessorFuzz tracks privilege mode transitions as part of CSR-transition coverage.
pre-silicon verification uses → 95% 2e
ProcessorFuzz targets pre-silicon verification of processor designs.
The paper introduces ProcessorFuzz as a novel processor fuzzing tool.
RFUZZ compares with → 85% 1e
ProcessorFuzz is described as HDL-agnostic in contrast to RFUZZ which is coupled to Chisel HDL.
hardware fuzzing implements → 100% 1e
ProcessorFuzz implements hardware fuzzing for processor verification.

LINKED ENTITIES

28 links
ProcessorFuzz: Processor Fuzzing with Control and Status Registers Guidance INTRODUCES Extracted graph relationship
CSR-transition coverage IMPLEMENTS Extracted graph relationship
Coverage-based Greybox Fuzzing IMPLEMENTS Extracted graph relationship
differential testing IMPLEMENTS Extracted graph relationship
ISA simulation USES Extracted graph relationship
RTL simulation USES Extracted graph relationship
Spike ISA simulator USES Extracted graph relationship
Verilator USES Extracted graph relationship
mutation engine USES Extracted graph relationship
seed corpus USES Extracted graph relationship
Transition Unit USES Extracted graph relationship
Transition Map USES Extracted graph relationship
extended ISA trace log USES Extracted graph relationship
assembly program test input USES Extracted graph relationship
Control and Status Registers USES Extracted graph relationship
Rocket Core EVALUATES Extracted graph relationship
BOOM Core EVALUATES Extracted graph relationship
BlackParrot Core EVALUATES Extracted graph relationship
DiFuzzRTL COMPARES_WITH Extracted graph relationship
Dromajo USES Extracted graph relationship
RISC-V ISA USES Extracted graph relationship
mstatus CSR MENTIONS Extracted graph relationship
fflags CSR MENTIONS Extracted graph relationship
mcause CSR MENTIONS Extracted graph relationship
medeleg CSR MENTIONS Extracted graph relationship
privilege mode MENTIONS Extracted graph relationship
Physical Memory Protection MENTIONS Extracted graph relationship
pre-silicon verification USES Extracted graph relationship

CITATIONS

7 sources
7 citations — click to expand
[1] ProcessorFuzz is presented in the paper “ProcessorFuzz: Processor Fuzzing with Control and Status Registers Guidance.” ProcessorFuzz: Processor Fuzzing with Control and
[2] The paper motivates processor fuzzing as part of dynamic processor verification, noting that exhaustive verification is unrealistic for complex processors and that pre-silicon bug discovery is valuable. ProcessorFuzz: Processor Fuzzing with Control and
[3] Hardware-domain differential testing compares RTL-simulation results against ISA-simulation results, and a difference indicates a potential processor bug. ProcessorFuzz: Processor Fuzzing with Control and
[4] The paper criticizes DIFUZZRTL-style register coverage as potentially misleading when datapath registers with little control over processor FSM state are treated as interesting coverage. ProcessorFuzz: Processor Fuzzing with Control and
[5] ProcessorFuzz uses Control and Status Register guidance, and the paper lists CSRs not monitored by ProcessorFuzz with reasons for exclusion. ProcessorFuzz: Processor Fuzzing with Control and
[6] The table of CSRs not monitored by ProcessorFuzz excludes some CSRs because they hold constant values during testing, some because the testing infrastructure lacks relevant support, and some because they mainly assist designers in analyzing bugs rather than revealing the fundamental issue. ProcessorFuzz: Processor Fuzzing with Control and
[7] The excerpt reports eight new bugs found in three processor designs and one new bug in a reference model. ProcessorFuzz: Processor Fuzzing with Control and