The Art, Science, and Engineering of Fuzzing: A Survey (2019) - 
Actually, this document is a paper, but it contains more important and essential content than any other book.

Fuzzing for Software Security Testing and Quality Assurance, 2nd Edition (2018)

Fuzzing: Brute Force Vulnerability Discovery, 1st Edition (2007)

Open Source Fuzzing Tools, 1st Edition (2007)

Effective File Format Fuzzing, Black Hat Europe 2016

American fuzzy lop - A security-oriented fuzzer that employs a novel type of compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary. 

WinAFL - A fork of AFL for fuzzing Windows binaries.

libFuzzer - A library for coverage-guided fuzz testing. 

shellphish fuzzer - A Python interface to AFL, allowing for easy injection of testcases and other functionality.

Eclipser - A binary-based fuzz testing tool that improves upon classic coverage-based fuzzing by leveraging a novel technique called grey-box concolic testing.

Jazzer - A coverage-guided, in-process fuzzer for the Java Virtual Machine. It is based on libFuzzer and can be applied directly to compiled applications.

Charm - A system solution that facilitates dynamic analysis of device drivers of mobile systems.

certfuzz - It contains the source code for the CMU CERT Basic Fuzzing Framework (BFF) and the CERT Failure Observation Engine (FOE).

Peach Fuzzer Platform - An automated security testing platform that prevents zero day attacks by finding vulnerabilities in hardware and software systems.

Blackhat USA 2018 AFL workshop training materials - From @wrauner at Samsung Research.

CI Fuzz - A CI/CD-agnostic platform for feedback-based fuzz testing of both native applications and Java web apps.

Ifuzzer: An evolutionary interpreter fuzzer using genetic programming, 2016

Hybrid fuzz testing: Discovering software bugs via fuzzing and symbolic execution, 2012

Call-Flow Aware API Fuzz Testing for Security of Windows Systems, 2008

Feedback-directed random test generation, 2007

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

Dowsing for overflows: a guided fuzzer to find buffer boundary violations, 2013

zzuf - A transparent application input fuzzer.

IFuzzer - An Evolutionary Interpreter Fuzzer Using Genetic Programming.

fuzzilli - A (coverage-)guided Javascript engine fuzzer, written by Samuel Groß.

CodeAlchemist - JavaScript engine fuzzer, written by KAIST SoftSec Lab.

test-each - Repeat tests using different inputs.

gremlins.js - gremlins.js is a monkey testing library written in JavaScript.

dtls-fuzzer - A Java tool which performs protocol state fuzzing of DTLS servers.

T-Fuzz - T-Fuzz leverages a coverage guided fuzzer to generate inputs.

TLS-Attacker - A Java-based framework for analyzing TLS libraries.

DELTA - SDN Security evaluation framework.

boofuzz - Network Protocol Fuzzing for Humans. Documentation is available at http://boofuzz.readthedocs.io/, including nifty quickstart guides.

LL-Fuzzer - An automated NFC fuzzing framework for Android devices.

tlsfuzzer - A SSL and TLS protocol test suite and fuzzer.

TumbleRF - A framework that orchestrates the application of fuzzing techniques to RF systems. 

PULSAR - A method for stateful black-box fuzzing of proprietary network protocols.

SPIKE - A fuzzer development framework like sulley, a predecessor of sulley.

PROTOS - Security testing of protocol implementations.

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

Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing, 2019

Fuzzing File Systems via Two-Dimensional Input Space Exploration, 2019

NEUZZ: Efficient Fuzzing with Neural Program Smoothing, 2019

Razzer: Finding Kernel Race Bugs through Fuzzing, 2019

Angora: Efficient Fuzzing by Principled Search, 2018

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

IEEE Symposium on Security and Privacy (IEEE S&amp;P)

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

What You Corrupt Is Not What You Crash: Challenges in Fuzzing Embedded Devices, 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

The Network and Distributed System Security Symposium (NDSS)

Intriguer: Field-Level Constraint Solving for Hybrid Fuzzing, 2019

Learning to Fuzz from Symbolic Execution with Application to Smart Contracts, 2019

Matryoshka: fuzzing deeply nested branches, 2019

Hawkeye: Towards a Desired Directed Grey-box Fuzzer, 2018

SemFuzz: Semantics-based Automatic Generation of Proof-of-Concept Exploits, 2017

AFL-based Fuzzing for Java with Kelinci, 2017

Designing New Operating Primitives to Improve Fuzzing Performance, 2017

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

SAGE: whitebox fuzzing for security testing, 2012

Taint-based directed whitebox fuzzing, 2009

ACM Conference on Computer and Communications Security (ACM CCS)

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

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

ArXiv (Fuzzing with Artificial Intelligence &amp; Machine Learning)

Repository of FUZZING Resources in December 2024

Select category under fuzzing projects and apps that you are looking to build in December 2024

Last Updated: 1 December 2024

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