That being said, we wanted to highlight an example of how fuzzing can be applied to a typical (albeit, toy) API to find logic bugs, and figured SQL Injection would be something that resonated with most (all?) developers.
That being said, we wanted to highlight an example of how fuzzing can be applied to a typical (albeit, toy) API to find logic bugs, and figured SQL Injection would be something that resonated with most (all?) developers.
EDIT: I tried using fuzz testing to find the famous issue with integer overflows in binary search [1], but even when restricting the relevant type to uint8, a couple of minutes of fuzzing when running on gitpod.io didn't detect an issue. Repo is https://github.com/DylanSp/fuzzing-for-binary-search-overflo... if anyone wants to play around with it and see if they can get fuzzing to detect a problem. (Go doesn't panic on overflows; a different approach to creating the slice to search might reveal a logic error)
[1] https://ai.googleblog.com/2006/06/extra-extra-read-all-about...