Ark VS AFLplusplus

This results in two websites: - the documentation of the language on the "main" website, https://arkscript-lang.dev ; - the technical documentation (+ modules) on doxygen: https://arkscript-lang.dev/impl/

1: https://github.com/ArkScript-lang/Ark 2: https://github.com/AFLplusplus/AFLplusplus

# Documentation: https://docs.brew.sh/Formula-Cookbook # https://rubydoc.brew.sh/Formula # PLEASE REMOVE ALL GENERATED COMMENTS BEFORE SUBMITTING YOUR PULL REQUEST! class ArkscriptAT330 < Formula desc "" homepage "" license "" head "https://github.com/ArkScript-lang/Ark.git" depends_on "cmake" => :build def install # ENV.deparallelize # if your formula fails when building in parallel system "cmake", "-S", ".", "-B", "build", *std_cmake_args system "cmake", "--build", "build" system "cmake", "--install", "build" end test do # `test do` will create, run in and delete a temporary directory. # # This test will fail and we won't accept that! For Homebrew/homebrew-core # this will need to be a test that verifies the functionality of the # software. Run the test with `brew test [email protected]`. Options passed # to `brew install` such as `--HEAD` also need to be provided to `brew test`. # # The installed folder is not in the path, so use the entire path to any # executables being tested: `system "#{bin}/program", "do", "something"`. system "false" end end

Lately, I've been working on optimizations for my language, ArkScript, and finally take some time to add tail-call optimization to my compiler.

A nice and bigger example would be this one, a snake game: https://github.com/ArkScript-lang/Ark/blob/dev/examples/games/snake/snake.ark

Still working on ArkScript after releasing the 3.1.0, improving the standard library, adding modules, and working on performance improvements + adding parallel builtins soon!

Until recently, when we wanted to create new releases for ArkScript, we had to build the language on all the system we support (currently Windows and Linux), build the modules (http, console, random, etc), test everything on each operating system, and then package the needed files and directory in ZIPs. We had to go to GitHub, create a new release, add the correct tag (and not mix it with the title as they are different things!), grep the latest changelog, and add our artifacts.

It could be cool to see some explanation of CFG representations or GIMPLE/LLVM here. GCC/Clang can print those out as text, or just compile to that code and not go lower if you ask them to. There are some interesting things you can do with bytecode, like Rellic, AFL++, or optview2. It seems a bit reductive imo to go straight from high-level code to disassembly without at all examining any layers in between. Especially if we use something like Polygeist or CIR.

Honestly, I wouldn't bother writing your own fuzzer, and just use one of the existing solutions, like afl++. Contrary to popular belief, good fuzzers do not just generate random bytes; the way they generate data depends on a genetic algorithm based on the code paths taken by the program. AFL++ can also fuzz regular binaries that weren't instrumented, but according to the documentation it is much less effective.

Be outside the loop? At least that's how they do it in their example https://github.com/AFLplusplus/AFLplusplus/blob/stable/instrumentation/README.persistent_mode.md

I use fuzzers, as every programmer should, and do not commit unless my compiler can be fuzzed for at least 24 hours without any crashes (if I were selling the software, I'd increase that period). I use AFL++ in LTO mode and comby-decomposer with a crappy script I made to collect crash test cases. I am also interested in afl-compiler-fuzzer, but have not yet tried it. Later, I'd like to try my hand at making a test generator that reaches codegen more often (no compile errors in the random source code). I use afl-tmin to minimize test cases, but the result is always illegible without manual work, and usually has extra junk the minimizer is incapable of deleting. Something like C-Reduce would be useful here.

1: https://github.com/ArkScript-lang/Ark 2: https://github.com/AFLplusplus/AFLplusplus

Frelatage is a coverage-based Python fuzzing library which can be used to fuzz python code. The development of Frelatage was inspired by various other fuzzers, including AFL/AFL++, Atheris and PyFuzzer.The main purpose of the project is to take advantage of the best features of these fuzzers and gather them together into a new tool in order to efficiently fuzz python applications.

I personally have not gone over any books over the topic so I cannot recommend books. However, there is a popular fuzzer known as AFL++ that specifies its technical workings and has a tutorial on its usage in the documentation. You can find it here. I found using the tool helped me gain a good understanding of the topic.

With AFL++ you can even determine exactly where the fork happens:

https://github.com/AFLplusplus/AFLplusplus/blob/stable/instr...