Sure! Some of the classes of bugs that remain low-hanging fruit for languages like Python include slowness, hangs, panics, race conditions, assert failures, excessive resource consumption and other Denial of Service attacks.

Other use cases include using fuzzing to compare implementations of libs that require the same functionality, detecting invariant violations, testing implementations that are meant to work together (i.e. serialize(deserialize(x)) == x).

In general fuzzing C/C++ libraries for memory bugs is the most commonly described use-case, but I think there are tons of fuzzing use cases that haven't been thoroughly explored yet.