Black Duck Coverity vs Fuzzinator

Black Duck Coverity is a paid static analysis solution for finding security vulnerabilities and code quality defects in source code before software ships. It analyzes code without executing it, scanning across files and libraries in entire codebases. Black Duck lists support for 22 programming languages and more than 250 frameworks, along with standards including MISRA, AUTOSAR, ISO 26262, PCI DSS, CERT C/C++/Java, DISA STIG, OWASP Top 10, and CWE Top 25. Coverity is TÜV SÜD certified for IEC 61508-3 support-tool requirements and qualified for use up to ASIL D under ISO 26262 and Level A under DO-178C. The Code Sight IDE plug-in offers real-time results, issue summaries, and code fixes. IDE, SCM, and CI integrations can trigger scans on commits and pull requests; listed connections include GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, and others. Deployment can be fully air-gapped on premises, including Kubernetes clusters. Pricing is customized to team size and codebase and supplied by quote.

Fuzzinator is a free, open-source framework for automating fuzzing jobs against software under test. It runs test generators, stores distinct issues, reduces failing test cases, updates targets and schedules jobs across targets and generators without overloading the workstation. Configuration files and Python snippets let users customize workflows; built-in components handle common scenarios.

Its interfaces include an interactive Web UI, an interactive Text UI for Linux and Mac OS X, and a line-based dump mode for consoles on every platform. Issues and execution statistics are stored in MongoDB, with the documented default URI set to mongodb://localhost/fuzzinator. Reporting to trackers such as Bugzilla or GitHub is optional and must be configured. The framework includes only an example random content generator, so users may need external generators or custom components. Documented requirements are Python 3.10 or later and MongoDB 3.6 or later; Java SE 7 is optional for the Picireny reducer. The documentation lists Linux, macOS and Windows among tested platforms.