Best Fuzz Testing Tools for CircleCI

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Compare the Top Fuzz Testing Tools that integrate with CircleCI as of June 2025

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

What are Fuzz Testing Tools for CircleCI?

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 CircleCI currently available using the table below. This list is updated regularly.

  • 1
    APIFuzzer
    APIFuzzer reads your API description and step-by-step fuzzes the fields to validate if your application can cope with the fuzzed parameters, and it does not require coding. Parse API definition from a local file or remote URL. JSON and YAML file format support. All HTTP methods are supported. Fuzzing of the request body, query string, path parameter, and request header is supported. Relies on random mutations and supports CI integration. Generate JUnit XML test report format. Send a request to an alternative URL. Support HTTP basic auth from the configuration. Save the report of the failed test in JSON format into the pre-configured folder.
    Starting Price: Free
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  • 2
    Mayhem Code Security
    Thousands of autonomously generated tests run every minute to pinpoint vulnerabilities and guide rapid remediation. Mayhem takes the guesswork out of untested code by autonomously generating test suites that produce actionable results. No need to recompile the code, since Mayhem works with dockerized images. Self-learning ML continually runs thousands of tests per second probing for crashes and defects, so developers can focus on features. Continuous testing runs in the background to surface new defects and increase code coverage. Mayhem delivers a copy/paste reproduction and backtrace for every defect, then prioritizes them based on your risk. See all the results, duplicated and prioritized by what you need to fix now. Mayhem fits into your existing build pipeline and development tools, putting actionable results at your developers' fingertips. No matter what language or tools your team uses.
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  • 3
    Code Intelligence

    Code Intelligence

    Code Intelligence

    Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision.
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