syzkaller
by google
syzkaller is an unsupervised coverage-guided kernel fuzzer designed to automatically find bugs in various OS kernels.
syzkaller is an unsupervised coverage-guided kernel fuzzer
Primary Use Case
This tool is primarily used by kernel developers and security researchers to automatically discover vulnerabilities and bugs in operating system kernels such as Linux, Windows, and BSD variants. It helps improve kernel security by fuzz testing kernel interfaces without manual supervision, enabling early detection of critical security flaws.
- Unsupervised coverage-guided fuzzing of OS kernels
- Supports multiple operating systems including Linux, Windows, FreeBSD, NetBSD, OpenBSD, Fuchsia, gVisor, and more
- Extensive documentation and found bugs reports for various OS kernels
- Integration with syzbot for automated bug reporting and triaging
- Open source with active CI and code coverage monitoring
- Written in Go with comprehensive GoDoc documentation
- Apache 2.0 licensed
Installation
- Refer to the installation guide at docs/setup.md for detailed setup instructions
- Clone the repository from https://github.com/google/syzkaller
- Follow OS-specific setup guides for supported kernels (e.g., docs/linux/setup.md for Linux)
- Set up syzbot for automated fuzzing and bug reporting using docs/setup_syzbot.md
- Ensure Go environment is configured as syzkaller is written in Go
Usage
>_ Refer to docs/usage.mdContains detailed instructions on how to run and configure syzkaller for fuzzing
>_ docs/linux/setup.mdSetup instructions specifically for fuzzing the Linux kernel
>_ docs/setup_syzbot.mdInstructions to install and configure syzbot, the automated bug reporting system
- Integrate syzkaller with CI/CD pipelines for continuous kernel fuzzing and early vulnerability detection.
- Leverage syzkaller's automated bug reporting (syzbot) to streamline triage and remediation workflows.
- Use syzkaller findings to proactively patch kernel vulnerabilities before exploitation by adversaries.
- Combine syzkaller fuzzing results with threat modeling to prioritize kernel hardening efforts.
- Employ syzkaller in purple team exercises to simulate kernel-level exploitation scenarios and improve detection capabilities.
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