b49ab999e3
* rands: simpler rand_trait code, remove useless test * rands: provide and use proper random_seed() * rands: add missing golden tests * Don't use current_nanos() for seeding * rands: remove RandomSeed trait
libafl-wasm
A brief demo demonstrating libafl's compatibility with WASM, and how to do it.
In this example, the entire LibAFL harness and target are present in a WASM binary, which is then loaded by the example
webpage. To run this example, do cargo make build, then open the example webpage in
your browser (via something like python3 -m http.server). The fuzzer will execute until finding a solution and will
write the fuzzer log to your console.
In a real fuzzing campaign, you would likely need to also create a LibAFL Corpus implementation which was backed by JavaScript, and restart the fuzzing campaign by re-invoking the fuzzer and providing the associated corpora. This is not demonstrated in this barebones example.