awesome-fuzzing
Awesome Fuzzing
https://github.com/iamramahibrah/awesome-fuzzing
Last synced: about 5 hours ago
JSON representation
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Books
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Talks
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Papers
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The Network and Distributed System Security Symposium (NDSS)
- WINNIE : Fuzzing Windows Applications with Harness Synthesis and Fast Cloning, 2021
- Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing, 2021
- PGFUZZ: Policy-Guided Fuzzing for Robotic Vehicles, 2021
- HFL: Hybrid Fuzzing on the Linux Kernel, 2020
- HotFuzz: Discovering Algorithmic Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing, 2020
- HYPER-CUBE: High-Dimensional Hypervisor Fuzzing, 2020
- Not All Coverage Measurements Are Equal: Fuzzing by Coverage Accounting for Input Prioritization, 2020
- CodeAlchemist: Semantics-Aware Code Generation to Find Vulnerabilities in JavaScript Engines, 2019
- PeriScope: An Effective Probing and Fuzzing Framework for the Hardware-OS Boundary, 2019
- REDQUEEN: Fuzzing with Input-to-State Correspondence, 2019
- Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing, 2019
- Life after Speech Recognition: Fuzzing Semantic Misinterpretation for Voice Assistant Applications, 2019
- INSTRIM: Lightweight Instrumentation for Coverage-guided Fuzzing, 2018
- IoTFuzzer: Discovering Memory Corruptions in IoT Through App-based Fuzzing, 2018
- Enhancing Memory Error Detection for Large-Scale Applications and Fuzz Testing, 2018
- Vuzzer: Application-aware evolutionary fuzzing, 2017
- DELTA: A Security Assessment Framework for Software-Defined Networks, 2017
- Driller: Augmenting Fuzzing Through Selective Symbolic Execution, 2016
- Automated Whitebox Fuzz Testing, 2008
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IEEE Symposium on Security and Privacy (IEEE S&P)
- STOCHFUZZ: Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting, 2021
- One Engine to Fuzz 'em All: Generic Language Processor Testing with Semantic Validation, 2021
- NTFUZZ: Enabling Type-Aware Kernel Fuzzing on Windows with Static Binary Analysis, 2021
- DIFUZZRTL: Differential Fuzz Testing to Find CPU Bugs, 2021
- DIANE: Identifying Fuzzing Triggers in Apps to Generate Under-constrained Inputs for IoT Devices, 2021
- Fuzzing JavaScript Engines with Aspect-preserving Mutation, 2020
- IJON: Exploring Deep State Spaces via Fuzzing, 2020
- Krace: Data Race Fuzzing for Kernel File Systems, 2020
- Pangolin:Incremental Hybrid Fuzzing with Polyhedral Path Abstraction, 2020
- RetroWrite: Statically Instrumenting COTS Binaries for Fuzzing and Sanitization, 2020
- T-Fuzz: fuzzing by program transformation, 2018
- Skyfire: Data-Driven Seed Generation for Fuzzing, 2017
- Program-Adaptive Mutational Fuzzing, 2015
- TaintScope: A checksum-aware directed fuzzing tool for automatic software vulnerability detection, 2010
- CollAFL: Path Sensitive Fuzzing, 2018
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USENIX Security
- Breaking Through Binaries: Compiler-quality Instrumentation for Better Binary-only Fuzzing, 2021
- ICSFuzz: Manipulating I/Os and Repurposing Binary Code to Enable Instrumented Fuzzing in ICS Control Applications, 2021
- Android SmartTVs Vulnerability Discovery via Log-Guided Fuzzing, 2021
- Constraint-guided Directed Greybox Fuzzing, 2021
- Nyx: Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types, 2021
- UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers, 2021
- FANS: Fuzzing Android Native System Services via Automated Interface Analysis, 2020
- Analysis of DTLS Implementations Using Protocol State Fuzzing, 2020
- EcoFuzz: Adaptive Energy-Saving Greybox Fuzzing as a Variant of the Adversarial Multi-Armed Bandit, 2020
- Fuzzing Error Handling Code using Context-Sensitive Software Fault Injection, 2020
- FuzzGen: Automatic Fuzzer Generation, 2020
- ParmeSan: Sanitizer-guided Greybox Fuzzing, 2020
- SpecFuzz: Bringing Spectre-type vulnerabilities to the surface, 2020
- FuzzGuard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning, 2020
- Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer, 2020
- GREYONE: Data Flow Sensitive Fuzzing, 2020
- Fuzzification: Anti-Fuzzing Techniques, 2019
- AntiFuzz: Impeding Fuzzing Audits of Binary Executables, 2019
- Charm: Facilitating Dynamic Analysis of Device Drivers of Mobile Systems, 2018
- MoonShine: Optimizing OS Fuzzer Seed Selection with Trace Distillation, 2018
- QSYM : A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing, 2018
- OSS-Fuzz - Google's continuous fuzzing service for open source software, 2017
- kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels, 2017
- Protocol State Fuzzing of TLS Implementations, 2015
- Optimizing Seed Selection for Fuzzing, 2014
- Fuzzing with Code Fragments, 2012
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ACM Conference on Computer and Communications Security (ACM CCS)
- T-Reqs: HTTP Request Smuggling with Differential Fuzzing, 2021
- V-SHUTTLE: Scalable and Semantics-Aware Hypervisor Fuzzing, 2021
- Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing, 2021
- HyperFuzzer: An Efficient Hybrid Fuzzer For Virtual CPUs, 2021
- Regression Greybox Fuzzing, 2021
- Hardware Support to Improve Fuzzing Performance and Precision, 2021
- SNIPUZZ: Black-box Fuzzing of IoT Firmware via Message Snippet Inference, 2021
- FREEDOM: Engineering a State-of-the-Art DOM Fuzzer, 2020
- Learning to Fuzz from Symbolic Execution with Application to Smart Contracts, 2019
- Matryoshka: fuzzing deeply nested branches, 2019
- Evaluating Fuzz Testing, 2018
- Hawkeye: Towards a Desired Directed Grey-box Fuzzer, 2018
- SlowFuzz: Automated Domain-Independent Detection of Algorithmic Complexity Vulnerabilities, 2017
- DIFUZE: Interface Aware Fuzzing for Kernel Drivers, 2017
- Systematic Fuzzing and Testing of TLS Libraries, 2016
- Coverage-based Greybox Fuzzing as Markov Chain, 2016
- eFuzz: A Fuzzer for DLMS/COSEM Electricity Meters, 2016
- Scheduling Black-box Mutational Fuzzing, 2013
- Taming compiler fuzzers, 2013
- SAGE: whitebox fuzzing for security testing, 2012
- Designing New Operating Primitives to Improve Fuzzing Performance, 2017
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ArXiv (Fuzzing with Artificial Intelligence & Machine Learning)
- MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing, 2020
- A Review of Machine Learning Applications in Fuzzing, 2019
- Evolutionary Fuzzing of Android OS Vendor System Services, 2019
- MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation, 2019
- Coverage-Guided Fuzzing for Deep Neural Networks, 2018
- DLFuzz: Differential Fuzzing Testing of Deep Learning Systems, 2018
- TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing, 2018
- NEUZZ: Efficient Fuzzing with Neural Program Learning, 2018
- EnFuzz: From Ensemble Learning to Ensemble Fuzzing, 2018
- REST-ler: Automatic Intelligent REST API Fuzzing, 2018
- Deep Reinforcement Fuzzing, 2018
- Not all bytes are equal: Neural byte sieve for fuzzing, 2017
- Faster Fuzzing: Reinitialization with Deep Neural Models, 2017
- Learn&Fuzz: Machine Learning for Input Fuzzing, 2017
- Complementing Model Learning with Mutation-Based Fuzzing, 2016
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The others
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Tools
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Platform
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Driver
- Peach Fuzzer Platform - An automated security testing platform that prevents zero day attacks by finding vulnerabilities in hardware and software systems.
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Programming Languages
Sub Categories
USENIX Security
26
ACM Conference on Computer and Communications Security (ACM CCS)
21
The Network and Distributed System Security Symposium (NDSS)
19
ArXiv (Fuzzing with Artificial Intelligence & Machine Learning)
15
IEEE Symposium on Security and Privacy (IEEE S&P)
15
Driver
2
Network protocol
2
The others
1
Web, JavaScript
1