[{"data":1,"prerenderedAt":707},["ShallowReactive",2],{"/en-us/blog/arctic-engine-fuzz-testing-blog/":3,"navigation-en-us":38,"banner-en-us":454,"footer-en-us":469,"Huldra":680,"next-steps-en-us":692},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":28,"_id":31,"_type":32,"title":33,"_source":34,"_file":35,"_stem":36,"_extension":37},"/en-us/blog/arctic-engine-fuzz-testing-blog","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"How Arctic Engine uses GitLab's fuzz testing","Using GitLab's fuzz testing, we discovered and fixed various real defects that could crash our software. Now we can detect vulnerabilities before merging the code.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749681504/Blog/Hero%20Images/arcticengine.png","https://about.gitlab.com/blog/arctic-engine-fuzz-testing-blog","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"How Arctic Engine uses GitLab's fuzz testing\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Huldra\"}],\n        \"datePublished\": \"2020-08-19\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Huldra","2020-08-19","\n\n{::options parse_block_html=\"true\" /}\n\n\n\n## About Arctic Engine\n\n[Arctic Engine](https://gitlab.com/huldra/arctic) is an open-source, free game\nengine released under the [MIT license](https://opensource.org/licenses/MIT).\nArctic Engine is implemented in C++ and focuses on simplicity. Being a C++\nprogrammer and making games should not be joyless, disillusioning, and\ndiscouraging. In the '80s and '90s, a programmer could make games alone, and\nit was fun. Arctic Engine aims at making game development in C++ fun again.\n\n## Testing can be fun\n\nTesting the game engine is very important since games are usually no more\nrobust and performant than the underlying middleware or game engine. Writing\ntests by hand is time-consuming and disillusioning, and it may drain the fun\nfrom the development process. So, to my shame, I avoided writing tests in every\nway I could. For instance, I used static analyzers to detect bugs. The problem\nwith static analyzers was the lack of motivation to fix potential issues. You\nmay be unsure whether a bug is really there, and it can sometimes be hard to\nfind a way to trigger it.\n\nThe other possibility was fuzz testing. I heard about fuzzing but didn't try it\nearlier because I thought it was hard to integrate with the project. I could\nnot be more wrong. It's amazing how little effort it takes to get fuzz testing\nup and running with GitLab.\n\n## Fuzz testing and what it exposed\n\nThanks to [Sam Kerr](https://gitlab.com/stkerr) for proving me wrong about\nfuzzing by [actually fuzzing](https://gitlab.com/huldra/arctic/-/commit/946382569d88c3af7f4a7ea075c3c3cb18d3b06b)\nthe sound loader code. Arctic Engine allows loading a sound from a WAV file in\nmemory. To fuzz the loader's code, you create a small CPP file with a single\nfunction like this:\n\n```cpp\nextern \"C\" int LLVMFuzzerTestOneInput(const uint8_t * data, size_t size) {\n    std::shared_ptr\u003Carctic::SoundInstance> result = arctic::LoadWav(data, size);\n    return 0;\n}\n```\n\nThen you add ``-fsanitize=fuzzer`` flag to the CMakeLists.txt file and a few\nlines to the `.gitlab-ci.yml` file, and the fuzzing begins! You may want to\ndrop in a few WAV files to the corpus folder to help the fuzzer and speed up\nthe process, but that's optional. Ok, it was a little harder than that with the\nArctic Engine because it would output a message and quit upon processing\nunsupported file formats. Still, handling file loading errors this way was a\nbad idea, and I finally had a reason to fix it.\n\nThe fuzzer started crashing Arctic Engine: first, it triggered a signed integer\noverflow, a division by zero, and a buffer overrun. And then, the wave loader\ngot out-of-memory while trying to resample a tiny WAV file with a sampling rate\nof 1 sample per second to 44100 samples per second. Wow.\n\nWhat I liked about fuzzing is that fuzzer actually crashes your program and\nprovides you the input so you can reproduce the crash. And once you've set up\nthe test harness, the entire testing process is fully automated, saving you\ntime and effort. It's like having a personal QA team, you commit your code, and\nin a few minutes, you already have it tests-covered.\n\nThen I fuzzed the CSV and the TGA file parsers and expected to find some bugs\nin the CSV and none in the TGA. What can I say? You may not find bugs where you\nexpect them to be and find bugs where you thought there were none. The TGA\nloader crashed immediately with a buffer overrun. It did not account for files\ncontaining only a valid header but no actual image data after it.\n\n## Plans\n\nI will add a simple HTTP web server and some multiplayer network interaction\ncode to the Arctic Engine. I was putting it off for quite a while now because I\nthought testing would be a pain. Now that I know how easy it is to apply\nGitLab's fuzz testing to any data processing code, I'm very optimistic and\nsomewhat challenged. Like \"Can I make it withstand the fuzzer from the first try?\".\nIt makes writing code fun for me once again.\n\n## Further reading\n\n- [GitLab's coverage-guided fuzz testing documentation](https://docs.gitlab.com/ee/user/application_security/coverage_fuzzing/#coverage-guided-fuzz-testing)\n- [GitLab's Fuzzing 101 playlist](https://www.youtube.com/playlist?list=PL05JrBw4t0KoYzW1CR-g1rMc9Xgmnhjfe)\n\n### About the guest author\n\nHuldra is a senior videogame programmer by day maintainer of the [Arctic Engine](https://gitlab.com/huldra/arctic) by night. 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