Best Fuzz Testing Tools for CircleCI

Find and compare the best Fuzz Testing tools for CircleCI in 2024

Use the comparison tool below to compare the top Fuzz Testing tools for CircleCI on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    APIFuzzer Reviews
    APIFuzzer is a tool that reads your API description, and fuzzes each field step-by-step to determine if your application will be able to handle the fuzzed parameter. It does not require any coding. Parse API definitions from a remote URL or local file. Support for JSON and YAML files. All HTTP methods can be used. Support for fuzzing the request body, path parameter, query string and request header. Supports CI integration and relies on random mutations. Create JUnit XML format for test reports. Send a request using an alternative URL. Support HTTP basic authentication from the configuration. Save the JSON formatted report of the failed tests into the preconfigured folder.
  • 2
    Code Intelligence Reviews
    Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.
  • 3
    Mayhem Code Security Reviews
    Thousands of tests are generated automatically every minute in order to identify vulnerabilities and guide rapid remediation. Mayhem automates the generation of test suites to produce actionable results. Mayhem uses dockerized images, so there is no need to recompile code. Self-learning ML continuously runs thousands of tests every second, probing for defects and crashes. Developers can then focus on features. Continuous testing is run in the background, highlighting new defects and increasing code coverage. Mayhem provides a copy/paste replication and backtrace of every defect. It then prioritizes these based on the risk. All results are duplicated, and sorted by urgency. Mayhem integrates with your existing build pipelines and development tools to provide developers with actionable results. No matter what tools or language your team uses.
  • 4
    Defensics Reviews
    Defensics, a versatile, automated blackbox fuzzer, allows organizations to quickly and effectively identify and fix security flaws in software. Identify flaws and zero-day vulnerabilities in protocols and services. The generational fuzzer uses an intelligent, targeted approach for negative testing. Advanced protocol template and file fuzzers allow users to create their own test cases. The SDK allows experts to use the Defensics framework for their own test cases. Defensics can be run without the need for source code because it is a black-box fuzzer. Defensics allows users to secure their cyber supply chain and ensure interoperability, robustness and security of software and devices, before introducing them into IT and lab environments. Fuzzing techniques that are properly executed can be a cost-effective and efficient way to find vulnerabilities. They can cover more code paths and iterations than manual analysis.
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