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Demystify the Fuzzing Methods: A Comprehensive Survey
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-59762-7_8openalex-snapshot
Evolutionary Grammar-Based Fuzzing
inferredcites →https://doi.org/10.1007/978-3-030-70692-0_3openalex-snapshot
WannaCry as a Creeping Crisis
inferredcites →https://doi.org/10.1007/978-3-540-78800-3_24openalex-snapshot
Z3: An Efficient SMT Solver
inferredcites →https://doi.org/10.1007/978-3-642-27660-6_44openalex-snapshot
State Coverage: Software Validation Metrics beyond Code Coverage
inferredcites →https://doi.org/10.1007/s10703-019-00337-wopenalex-snapshot
A survey of challenges for runtime verification from advanced application domains (beyond software)
inferredcites →https://doi.org/10.1016/j.cose.2021.102368openalex-snapshot
FUZZOLIC: Mixing fuzzing and concolic execution
inferredcites →https://doi.org/10.1016/j.jisa.2020.102497openalex-snapshot
AFLPro: Direction sensitive fuzzing
inferredcites →https://doi.org/10.1016/j.jss.2018.06.024openalex-snapshot
Investigating faults missed by test suites achieving high code coverage
inferredcites →https://doi.org/10.1016/j.jss.2022.111379openalex-snapshot
Fuzzing with automatically controlled interleavings to detect concurrency bugs
inferredcites →https://doi.org/10.1109/access.2018.2851237openalex-snapshot
PTfuzz: Guided Fuzzing With Processor Trace Feedback
inferredcites →https://doi.org/10.1109/ase51524.2021.9678671openalex-snapshot
InstruGuard: Find and Fix Instrumentation Errors for Coverage-based Greybox Fuzzing
inferredcites →https://doi.org/10.1109/ase51524.2021.9678810openalex-snapshot
Towards Systematic and Dynamic Task Allocation for Collaborative Parallel Fuzzing
inferredcites →https://doi.org/10.1109/ase51524.2021.9678913openalex-snapshot
Scalable Fuzzing of Program Binaries with E9AFL
inferredcites →https://doi.org/10.1109/cgo.2004.1281665openalex-snapshot
LLVM: a compilation framework for lifelong program analysis & transformation
inferredcites →https://doi.org/10.1109/dsn.2017.27openalex-snapshot
Zipr: Efficient Static Binary Rewriting for Security
inferredcites →https://doi.org/10.1109/icoia.2013.6650258openalex-snapshot
GramFuzz: Fuzzing testing of web browsers based on grammar analysis and structural mutation
inferredcites →https://doi.org/10.1109/icse.2009.5070546openalex-snapshot
Taint-based directed whitebox fuzzing
inferredcites →https://doi.org/10.1109/icse.2015.68openalex-snapshot
A Flexible and Non-intrusive Approach for Computing Complex Structural Coverage Metrics
inferredcites →https://doi.org/10.1109/icse.2019.00081openalex-snapshot
Superion: Grammar-Aware Greybox Fuzzing
inferredcites →https://doi.org/10.1109/icse.2019.00082openalex-snapshot
Grey-Box Concolic Testing on Binary Code
inferredcites →https://doi.org/10.1109/icsess.2018.8663772openalex-snapshot
Survey of Directed Fuzzy Technology
inferredcites →https://doi.org/10.1109/ms.2020.3016773openalex-snapshot
Fuzzing: Challenges and Reflections
inferredcites →https://doi.org/10.1109/secdev.2016.042openalex-snapshot
Auditing Code for Security Vulnerabilities with CodeSonar
inferredcites →https://doi.org/10.1109/sp.2010.37openalex-snapshot
TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection
inferredcites →https://doi.org/10.1109/sp.2016.15openalex-snapshot
LAVA: Large-Scale Automated Vulnerability Addition
inferredcites →https://doi.org/10.1109/sp.2017.23openalex-snapshot
Skyfire: Data-Driven Seed Generation for Fuzzing
inferredcites →https://doi.org/10.1109/sp.2018.00040openalex-snapshot
CollAFL: Path Sensitive Fuzzing
inferredcites →https://doi.org/10.1109/sp.2018.00046openalex-snapshot
Angora: Efficient Fuzzing by Principled Search
inferredcites →https://doi.org/10.1109/sp.2018.00056openalex-snapshot
T-Fuzz: Fuzzing by Program Transformation
inferredcites →https://doi.org/10.1109/sp.2019.00017openalex-snapshot
Razzer: Finding Kernel Race Bugs through Fuzzing
inferredcites →https://doi.org/10.1109/sp.2019.00069openalex-snapshot
Full-Speed Fuzzing: Reducing Fuzzing Overhead through Coverage-Guided Tracing
inferredcites →https://doi.org/10.1109/sp40000.2020.00009openalex-snapshot
RetroWrite: Statically Instrumenting COTS Binaries for Fuzzing and Sanitization
inferredcites →https://doi.org/10.1109/sp40000.2020.00063openalex-snapshot
Pangolin: Incremental Hybrid Fuzzing with Polyhedral Path Abstraction
inferredcites →https://doi.org/10.1109/sp40000.2020.00067openalex-snapshot
Fuzzing JavaScript Engines with Aspect-preserving Mutation
inferredcites →https://doi.org/10.1109/sp40000.2020.00078openalex-snapshot
Krace: Data Race Fuzzing for Kernel File Systems
inferredcites →https://doi.org/10.1109/sp40001.2021.00018openalex-snapshot
DICE: Automatic Emulation of DMA Input Channels for Dynamic Firmware Analysis
inferredcites →https://doi.org/10.1109/sp40001.2021.00071openalex-snapshot
One Engine to Fuzz ’em All: Generic Language Processor Testing with Semantic Validation
inferredcites →https://doi.org/10.1109/sp40001.2021.00109openalex-snapshot
StochFuzz: Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting
inferredcites →https://doi.org/10.1109/sp40001.2021.00114openalex-snapshot
NtFuzz: Enabling Type-Aware Kernel Fuzzing on Windows with Static Binary Analysis
inferredcites →https://doi.org/10.1109/sp46214.2022.9833594openalex-snapshot
PATA: Fuzzing with Path Aware Taint Analysis
inferredcites →https://doi.org/10.1109/sp46214.2022.9833751openalex-snapshot
BEACON: Directed Grey-Box Fuzzing with Provable Path Pruning
inferredcites →https://doi.org/10.1109/tcyb.2020.3013675openalex-snapshot
V-Fuzz: Vulnerability Prediction-Assisted Evolutionary Fuzzing for Binary Programs
inferredcites →https://doi.org/10.1109/tse.2017.2785841openalex-snapshot
Coverage-Based Greybox Fuzzing as Markov Chain
inferredcites →https://doi.org/10.1109/tse.2019.2946563openalex-snapshot
The Art, Science, and Engineering of Fuzzing: A Survey
inferredcites →https://doi.org/10.1109/tse.2021.3121994openalex-snapshot
Automated Use-After-Free Detection and Exploit Mitigation: How Far Have We Gone?
inferredcites →https://doi.org/10.1109/tse.2022.3219520openalex-snapshot
UltraFuzz: Towards Resource-Saving in Distributed Fuzzing
inferredcites →https://doi.org/10.1145/1379022.1375607openalex-snapshot
Grammar-based whitebox fuzzing
inferredcites →https://doi.org/10.1145/1993316.1993532openalex-snapshot
Finding and understanding bugs in C compilers
inferredcites →https://doi.org/10.1145/1995376.1995394openalex-snapshot
Satisfiability modulo theories
inferredcites →https://doi.org/10.1145/2024569.2024572openalex-snapshot
Anywhere, any-time binary instrumentation
inferredcites →https://doi.org/10.1145/2090147.2094081openalex-snapshot
SAGE: Whitebox Fuzzing for Security Testing
inferredcites →https://doi.org/10.1145/2408776.2408795openalex-snapshot
Symbolic execution for software testing
inferredcites →https://doi.org/10.1145/3182657openalex-snapshot
A Survey of Symbolic Execution Techniques
inferredcites →https://doi.org/10.1145/3238147.3238214openalex-snapshot
An automated approach to estimating code coverage measures via execution logs
inferredcites →https://doi.org/10.1145/3293882.3339002openalex-snapshot
JQF: coverage-guided property-based testing in Java
inferredcites →https://doi.org/10.1145/3324884.3418930openalex-snapshot
Generating highly-structured input data by combining search-based testing and grammar-based fuzzing
inferredcites →https://doi.org/10.1145/3372297.3417260openalex-snapshot
SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback
inferredcites →https://doi.org/10.1145/3385412.3385972openalex-snapshot
Binary rewriting without control flow recovery
inferredcites →https://doi.org/10.1145/3444370.3444570openalex-snapshot
A Survey of Hybrid Fuzzing based on Symbolic Execution
inferredcites →https://doi.org/10.1145/3448976openalex-snapshot
A Survey of Software Log Instrumentation
inferredcites →https://doi.org/10.1145/3460120.3484543openalex-snapshot
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference
inferredcites →https://doi.org/10.1145/3460120.3484787openalex-snapshot
Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing
inferredcites →https://doi.org/10.1145/3460319.3464814openalex-snapshot
Gramatron: effective grammar-aware fuzzing
inferredcites →https://doi.org/10.1145/3460319.3469079openalex-snapshot
C4: the C compiler concurrency checker
inferredcites →https://doi.org/10.1145/3477014openalex-snapshot
Rtkaller: State-aware Task Generation for RTOS Fuzzing
inferredcites →https://doi.org/10.1145/3533767.3534226openalex-snapshot
PrIntFuzz: fuzzing Linux drivers via automated virtual device simulation
inferredcites →https://doi.org/10.1145/3551349.3561161openalex-snapshot
Efficient Greybox Fuzzing to Detect Memory Errors
inferredcites →https://doi.org/10.1145/3578245.3584851openalex-snapshot
Towards Solving the Challenge of Minimal Overhead Monitoring
inferredcites →https://doi.org/10.1371/journal.pone.0237749openalex-snapshot
A systematic review of fuzzing based on machine learning techniques
inferredcites →https://doi.org/10.14722/ndss.2014.23229openalex-snapshot
Avatar: A Framework to Support Dynamic Security Analysis of Embedded Systems’ Firmwares
inferredcites →https://doi.org/10.14722/ndss.2016.23368openalex-snapshot
Driller: Augmenting Fuzzing Through Selective Symbolic Execution
inferredcites →https://doi.org/10.14722/ndss.2017.23404openalex-snapshot
VUzzer: Application-aware Evolutionary Fuzzing
inferredcites →https://doi.org/10.14722/ndss.2018.23159openalex-snapshot
IoTFuzzer: Discovering Memory Corruptions in IoT Through App-based Fuzzing
inferredcites →https://doi.org/10.14722/ndss.2019.23371openalex-snapshot
REDQUEEN: Fuzzing with Input-to-State Correspondence
inferredcites →https://doi.org/10.14722/ndss.2019.23412openalex-snapshot
NAUTILUS: Fishing for Deep Bugs with Grammars
inferredcites →https://doi.org/10.14722/ndss.2020.24422openalex-snapshot
Not All Coverage Measurements Are Equal: Fuzzing by Coverage Accounting for Input Prioritization
inferredcites →https://doi.org/10.14722/ndss.2022.24296openalex-snapshot
Context-Sensitive and Directional Concurrency Fuzzing for Data-Race Detection
inferredcites →https://doi.org/10.1609/aaai.v33i01.33011044openalex-snapshot
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing
inferredcites →https://doi.org/10.5555/1077276.1077279openalex-snapshot
Search-based software test data generation: a survey
inferredcites →https://doi.org/10.5555/2337223.2337279openalex-snapshot
BugRedux: reproducing field failures for in-house debugging
inferredcites →https://doi.org/10.5555/3489212.3489358openalex-snapshot
Fuzzing Error Handling Code using Context-Sensitive Software Fault Injection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-98208-8_15openalex-snapshot
CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs Towards CWE Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-99447-0_3openalex-snapshot
Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview
inferred← citeshttps://doi.org/10.1007/978-981-92-4349-5_34openalex-snapshot
Research on a Multi-dimensional Sharding-Based Remote Sensing Spatiotemporal Information Database Middleware
inferred← citeshttps://doi.org/10.1007/978-981-95-1365-9_28openalex-snapshot
Fuzz, Query, Learn: Security Challenges of Shadow Model Attacks on Cloud-Hosted Models
inferred← citeshttps://doi.org/10.1007/978-981-96-4285-4_28openalex-snapshot
MADFuzz: A Study on Automatic Exploitation of Smart Contract Vulnerabilities Using Multi-agent Reinforcement Learning-Guided Fuzzing
inferred← citeshttps://doi.org/10.1007/978-981-96-4836-8_14openalex-snapshot
FSFuzzer: A High-Performance Greybox Fuzzer for Stateful Network Protocol
inferred← citeshttps://doi.org/10.1007/s10515-026-00597-xopenalex-snapshot
BlindSpotFuzz: testing autonomous driving systems through blind-spot-guided fuzzing
inferred← citeshttps://doi.org/10.1007/s10515-026-00657-2openalex-snapshot
SymDict: A novel hybrid fuzzing method based on symbolic dictionaries
inferred← citeshttps://doi.org/10.1007/s11219-024-09673-5openalex-snapshot
Differential testing solidity compiler through deep contract manipulation and mutation
inferred← citeshttps://doi.org/10.1007/s11219-025-09707-6openalex-snapshot
AutoFuzz: automatic fuzzer-sanitizer scheduling with multi-armed bandit
inferred← citeshttps://doi.org/10.1007/s11227-025-07371-yopenalex-snapshot
Systematic exploration of fuzzing in IoT: techniques, vulnerabilities, and open challenges
inferred← citeshttps://doi.org/10.1007/s11227-026-08328-5openalex-snapshot
A smart contract vulnerability detection method based on deep semantic feature fusion
inferred← citeshttps://doi.org/10.1007/s11390-026-5439-yopenalex-snapshot
WOWAF: Enhanced Dynamic Binary Analysis Framework Targeting Windows-on-Windows 64-Bit Environments
inferred← citeshttps://doi.org/10.1007/s43926-026-00302-0openalex-snapshot
Protocol guided mutation fuzzing to automatically discover vulnerability in commercial IoT devices
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103903openalex-snapshot
Vulnerability detection through machine learning-based fuzzing: A systematic review
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104473openalex-snapshot
Privacy preservation techniques through data lifecycle: A comprehensive literature survey
inferred← citeshttps://doi.org/10.1016/j.csi.2025.104011openalex-snapshot
Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107651openalex-snapshot
Improving seed quality with historical fuzzing results
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115336openalex-snapshot
CLMDA:Cross language vulnerability detection based on multimodal learning and domain adaptation
inferred← citeshttps://doi.org/10.1049/ell2.13136openalex-snapshot
Identifying exploitable memory objects for out‐of‐bound write vulnerabilities
inferred← citeshttps://doi.org/10.1049/ntw2.70027openalex-snapshot
GeniFuzz: Optimisation of Generative Protocol Fuzzing Based on Large Language Models
inferred← citeshttps://doi.org/10.1088/1742-6596/2858/1/012029openalex-snapshot
LPBFuzz: Binary program fuzzing with enhanced coverage of low-frequency program branches
inferred← citeshttps://doi.org/10.1109/access.2024.3421989openalex-snapshot
A Coverage-Guided Fuzzing Method for Automatic Software Vulnerability Detection Using Reinforcement Learning-Enabled Multi-Level Input Mutation
inferred← citeshttps://doi.org/10.1109/access.2025.3571205openalex-snapshot
From LLMs to Randomness: Analyzing Program Input Efficacy With Resource and Language Metrics
inferred← citeshttps://doi.org/10.1109/access.2025.3575691openalex-snapshot
Bare-Metal Firmware Fuzzing: A Survey of Techniques and Approaches
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00396openalex-snapshot
Testing Autonomous Driving Systems Through Blind-Spot Guided Fuzzing
inferred← citeshttps://doi.org/10.1109/ast66626.2025.00021openalex-snapshot
Bringing Light into the Darkness: Leveraging Hidden Markov Models for Blackbox Fuzzing
inferred← citeshttps://doi.org/10.1109/cascon66301.2025.00044openalex-snapshot
Securing LLM-Generated Embedded Firmware Through AI Agent-Driven Validation and Patching
inferred← citeshttps://doi.org/10.1109/case59546.2024.10711585openalex-snapshot
Automatic Fuzzing of Asset Administration Shells as Digital Twins for Industry 4.0
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11582580openalex-snapshot
FusionSeed: Seed Generation for Protocol Fuzzing via Knowledge Fusion and PCSG-Guided LLM
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132499openalex-snapshot
DROIDFUZZ: Proprietary Driver Fuzzing for Embedded Android Devices
inferred← citeshttps://doi.org/10.1109/hpcc64274.2024.00161openalex-snapshot
Speed is Not All You Need When Fuzzing Stateful Network Servers
inferred← citeshttps://doi.org/10.1109/icbctis66509.2025.11387615openalex-snapshot
Subsystem Integration and Stability Evaluation Methods for Industrial Control Software Crowdsourcing Testing Platforms
inferred← citeshttps://doi.org/10.1109/icccbda69573.2026.11676517openalex-snapshot
Can LLMs Replace Static Analysis? an Empirical Study on Vulnerability Detection in IIoT Software
inferred← citeshttps://doi.org/10.1109/icse-companion66252.2025.00079openalex-snapshot
CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
inferred← citeshttps://doi.org/10.1109/icse-nier66352.2025.00013openalex-snapshot
A Unit Proofing Framework for Code-level Verification: A Research Agenda
inferred← citeshttps://doi.org/10.1109/icsme58944.2024.00036openalex-snapshot
Exploring the Adoption of Fuzz Testing in Open-Source Software: A Case Study of the Go Community
inferred← citeshttps://doi.org/10.1109/issrew67781.2025.00044openalex-snapshot
Case Study: Applying Fuzzing to REST APIs in a Large-Scale Industrial Setting
inferred← citeshttps://doi.org/10.1109/iwcmc61514.2024.10592348openalex-snapshot
Exploring the Frontiers of Firmware Fuzzing: μAFL’s Application on Cortex M4 and Unix Programs
inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3569291openalex-snapshot
A Holistic Review of Fuzzing for Vulnerability Assessment in Industrial Network Protocols
inferred← citeshttps://doi.org/10.1109/qrs62785.2024.00059openalex-snapshot
RumFuzz: Coverage-guided Greybox Fuzzing with Reasonable Use of Memory
inferred← citeshttps://doi.org/10.1109/spw72489.2026.00010openalex-snapshot
PickleFuzzer: A Case Study in Fuzzing for Discrepancies Between Python Pickle Implementations
inferred← citeshttps://doi.org/10.1109/sse67621.2025.00028openalex-snapshot
On the Challenges of Fuzzing Techniques via Large Language Models
inferred← citeshttps://doi.org/10.1109/tcad.2024.3447220openalex-snapshot
ECG: Augmenting Embedded Operating System Fuzzing via LLM-Based Corpus Generation
inferred← citeshttps://doi.org/10.1109/tnse.2026.3692491openalex-snapshot
ECVchecker: Practical Detecting External Call Vulnerabilities in Solidity Smart Contracts With Semantic-Aware Symbolic Analysis
inferred← citeshttps://doi.org/10.1109/tse.2025.3611956openalex-snapshot
Finding Correctness Issues on Ethereum Verkle Tries via Preimage-Aware Differential Testing
inferred← citeshttps://doi.org/10.1117/12.3032933openalex-snapshot
CWEInject: build fuzzer benchmark through bug templates
inferred← citeshttps://doi.org/10.1145/3626232.3658642openalex-snapshot
IoTFuzzSentry: Hunting Bugs In The IoT Wilderness In Operational Phase Using Payload Fuzzing
inferred← citeshttps://doi.org/10.1145/3643741openalex-snapshot
Evaluating Directed Fuzzers: Are We Heading in the Right Direction?
inferred← citeshttps://doi.org/10.1145/3650212.3680351openalex-snapshot
Tacoma: Enhanced Browser Fuzzing with Fine-Grained Semantic Alignment
inferred← citeshttps://doi.org/10.1145/3664476.3664493openalex-snapshot
Investigating HTTP Covert Channels Through Fuzz Testing
inferred← citeshttps://doi.org/10.1145/3698062.3698063openalex-snapshot
Race Directed Fuzzing for More Effective Concurrency Testing
inferred← citeshttps://doi.org/10.1145/3708821.3736220openalex-snapshot
Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub
inferred← citeshttps://doi.org/10.1145/3719027.3765055openalex-snapshot
A Qualitative Analysis of Fuzzer Usability and Challenges
inferred← citeshttps://doi.org/10.1145/3728877openalex-snapshot
FreeWavm: Enhanced WebAssembly Runtime Fuzzing Guided by Parse Tree Mutation and Snapshot
inferred← citeshttps://doi.org/10.1145/3744916.3764561openalex-snapshot
Generator Solving for Symbolic Execution
inferred← citeshttps://doi.org/10.1145/3744916.3773212openalex-snapshot
Fuzzing Java Optimizing Compilers with Complex Inter-Class Structures Guided by Heterogeneous Program Graphs
inferred← citeshttps://doi.org/10.1145/3832105openalex-snapshot
RPCSpecter: Detecting Blockchain RPC Bugs through a Specification-Driven, Constraint-Aware Fuzzing Approach
inferred← citeshttps://doi.org/10.1145/3832205openalex-snapshot
Fuzzing the Boundary between Models and Code in Hybrid AI-Enabled Systems
inferred← citeshttps://doi.org/10.1155/int/7931792openalex-snapshot
DocFuzz: A Directed Fuzzing Method Based on a Feedback Mechanism Mutator
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4963553/v1openalex-snapshot
Systematic Review of Fuzzing in IoT: Evaluating Techniques, Vulnerabilities, and Research Gaps
inferred← citeshttps://doi.org/10.3390/electronics14050856openalex-snapshot
IoTBenchSL: A Streamlined Framework for the Efficient Production of Standardized IoT Benchmarks with Automated Pipeline Validation
inferred← citeshttps://doi.org/10.3390/electronics14234550openalex-snapshot
LLM-Boofuzz: Generation-Based Black-Box Fuzzing for Network Protocols via LLMs
inferred← citeshttps://doi.org/10.47000/tjmcs.1826864openalex-snapshot
Biometric Fusion Strategies for Enhancing Access Control in Critical Infrastructures
inferred← citeshttps://doi.org/10.5753/cibse.2026.42439openalex-snapshot
A Survey of Fuzzing Tools for JavaScript Engines
inferred← citeshttps://doi.org/10.70675/e3673de3zafa5z48c8z8ff3z3af2366dd23copenalex-snapshot
Hybrid security solutions for IoT devices
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