Best Fuzz Testing Tools for NetBSD

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Compare the Top Fuzz Testing Tools that integrate with NetBSD as of July 2025

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This a list of Fuzz Testing tools that integrate with NetBSD. Use the filters on the left to add additional filters for products that have integrations with NetBSD. View the products that work with NetBSD in the table below.

What are Fuzz Testing Tools for NetBSD?

Fuzz testing tools are automated software tools used to detect bugs and vulnerabilities in computer systems. They generate large amounts of random input data to test the robustness of a system. These tools are commonly used in software development to enhance the quality and security of a product. Fuzz testing tools can be applied to various types of systems, including web applications, mobile apps, and operating systems. They have become an essential part of the testing process in modern software development due to their ability to uncover hidden flaws that traditional testing methods may miss. Compare and read user reviews of the best Fuzz Testing tools for NetBSD currently available using the table below. This list is updated regularly.

  • 1
    american fuzzy lop
    American fuzzy lop is 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. This substantially improves the functional coverage for the fuzzed code. The compact synthesized corpora produced by the tool are also useful for seeding other, more labor or resource-intensive testing regimes down the road. Compared to other instrumented fuzzers, afl-fuzz is designed to be practical, it has a modest performance overhead, uses a variety of highly effective fuzzing strategies and effort minimization tricks, requires essentially no configuration, and seamlessly handles complex, real-world use cases, say, common image parsing or file compression libraries. It's an instrumentation-guided genetic fuzzer capable of synthesizing complex file semantics in a wide range of non-trivial targets.
    Starting Price: Free
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  • 2
    Honggfuzz
    Honggfuzz is a security-oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW-based). It’s multi-process and multi-threaded, there’s no need to run multiple copies of your fuzzer, as Honggfuzz can unlock the potential of all your available CPU cores with a single running instance. The file corpus is automatically shared and improved between all fuzzed processes. It’s blazingly fast when the persistent fuzzing mode is used. A simple/empty LLVMFuzzerTestOneInput function can be tested with up to 1mo iteration per second on a relatively modern CPU. Has a solid track record of uncovered security bugs, the only (to date) vulnerability in OpenSSL with the critical score mark was discovered by Honggfuzz. As opposed to other fuzzers, it will discover and report hijacked/ignored signals from crashes (intercepted and potentially hidden by a fuzzed program).
    Starting Price: Free
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  • 3
    syzkaller
    syzkaller is an unsupervised coverage-guided kernel fuzzer. Supports FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows. Initially, syzkaller was developed with Linux kernel fuzzing in mind, but now it's being extended to support other OS kernels as well. Once syzkaller detects a kernel crash in one of the VMs, it will automatically start the process of reproducing this crash. By default, it will use 4 VMs to reproduce the crash and then minimize the program that caused it. This may stop the fuzzing, since all of the VMs might be busy reproducing detected crashes. The process of reproducing one crash may take from a few minutes up to an hour depending on whether the crash is easily reproducible or non-reproducible at all.
    Starting Price: Free
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