Why (Continuous) Fuzzing
Blog post from GitLab
Continuous fuzzing is a crucial component in identifying vulnerabilities within software projects, but integrating it into continuous integration (CI) workflows presents several challenges. Fuzzing involves two main tasks: generating new test cases to explore different code paths and conducting regression tests on previously generated cases. One challenge is the long duration of fuzzing jobs, which contrasts with the need for quick feedback in CI; this can be addressed by running fuzzers asynchronously on platforms like GitLab, allowing them to notify stakeholders of vulnerabilities. Another issue is the resource-intensive nature of fuzzing multiple versions across various targets, which can be mitigated by focusing on the development and stable branches, maintaining a minimized corpus of test cases. Additionally, leveraging valuable test cases from past crashes to preemptively check new merge requests can streamline the process, with GitLab aiding in the management and execution of these regression fuzz tests.
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