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This project is a comprehensive software fuzzing knowledge base and technical guide designed for discovering software bugs and vulnerabilities. It serves as a resource for implementing coverage-guided, structure-aware, and hybrid fuzzing across various targets, including compiled binaries and hardware kernels. The resource provides specialized guidance on using grammars and defined data formats to generate syntactically valid inputs for complex APIs. It also details methods for combining grey-box fuzzing with symbolic execution to reach deep execution paths and utilizes binary instrumentation
Syzkaller is an unsupervised, coverage-guided kernel fuzzer that automatically generates and mutates system call sequences to find bugs in operating system kernels. It operates without human intervention, using a closed feedback loop of input generation, execution, crash detection, and corpus refinement to continuously explore kernel code paths. The fuzzer distinguishes itself by supporting multiple operating system kernels, including Linux, FreeBSD, and Windows, through per-platform syscall harnesses that abstract system call interfaces behind a common driver. It uses declarative description
NTFUZZ: Enabling Type-Aware Kernel Fuzzing on Windows with Static Binary Analysis (IEEE S&P '21)
The main features of softsec-kaist/ntfuzz are: Kernel Fuzzing Tools.
Projects with overlapping indexed features include: google/fuzzing — This project is a comprehensive software fuzzing knowledge base and technical guide designed for discovering software… google/syzkaller — Syzkaller is an unsupervised, coverage-guided kernel fuzzer that automatically generates and mutates system call… kernelslacker/trinity — Linux system call fuzzer. rub-syssec/kafl — Blazing fast x86-64 VM kernel fuzzing framework with performant VM reloads for Linux, MacOS and Windows. softsec-kaist/imf — Inferred Model-based Fuzzer. sslab-gatech/hydra — Hydra: an Extensible Fuzzing Framework for Finding Semantic Bugs in File Systems.
