syzkaller
syzkaller: A focused open-source choice for coverage-guided operating-system kernel fuzzing. Ranked #8 of 25 in Fuzz Testing Software by our editors (8.1/10); pricing: Open source; best for operating-system kernel fuzzing.
At a glance
- Editor score8.1 / 10
- PricingOpen source
- Best forOperating-system kernel fuzzing
- Paid fromFree
- Input generation methodsgeneration, mutation
- Facts checked20 Sep 2026

Where it wins
- Generates and mutates syscall programs with coverage guidance
- Runs against virtual machines or physical devices
- Reproduces, minimizes, stores, and deduplicates kernel crashes
Where it doesn't
- Focused on operating-system kernels rather than general application fuzzing
- Requires teams able to build and instrument target kernels
- Local execution may demand kernel and device infrastructure
Our verdict on syzkaller
syzkaller is an open-source, unsupervised coverage-guided fuzzer for operating-system kernels. It generates and mutates syscall programs, executes them through virtual machines or physical devices, collects kernel code coverage, and detects crashes. Its intended audience is kernel developers and security researchers who can build and instrument target kernels. Supported kernel targets include FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows, giving it a specialized reach across several operating-system environments.
Its main strength is the depth of its kernel-focused workflow. syzkaller combines generation and mutation with coverage guidance, then adds crash storage, crash-type deduplication, automatic reproduction, and reproducing-program minimization. It can also generate C and syzkaller reproducers. This creates a connected path from syscall exploration to a smaller, repeatable failure case. With local execution and CI/CD support, it fits teams that need kernel fuzzing as part of an engineering workflow rather than as a one-off input-generation task.
The trade-off is its narrow scope and infrastructure expectations. syzkaller is designed for operating-system kernels and syscall interfaces, so teams looking for broad application, API, or file-format fuzzing should choose a more general-purpose tool. Its execution model also centers on virtual machines or physical devices and requires target kernels that can be built and instrumented. Choose syzkaller when kernel coverage, crash triage, reproduction, and minimization are central requirements; do not choose it when the primary target lies outside operating-system kernels.
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syzkaller pricing
syzkaller fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Input generation methods | generation, mutation |
| Target types | operating-system kernels and syscall interfaces: FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, Windows |
| Coverage guidance | Yes |
| Crash triage | Yes |
| Execution mode | Local |
| Supported languages | Not verified |
| CI/CD support | Yes |
| Deployment | Self-hosted |
| Platforms | Linux, Windows, macOS |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Open source |
| Website | github.com |
| Facts checked | 20 Sep 2026 |
Alternatives to syzkaller
- MayhemMayhem brings broad hybrid fuzz testing, triage, and regression coverage to CI workflows.9.4
- OSS-FuzzA cloud-based continuous fuzzing service for qualifying open-source projects.9.2
- ClusterFuzzA broad, self-managed fuzzing platform for continuous security and stability testing.8.9
See all syzkaller alternatives →
syzkaller vs the competition
- syzkaller vs Mayhem
- syzkaller vs OSS-Fuzz
- syzkaller vs ClusterFuzz
- syzkaller vs AFL++
- syzkaller vs EvoMaster
- syzkaller vs FuzzForge
Compare syzkaller with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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