[{"data":1,"prerenderedAt":760},["ShallowReactive",2],{"/en-us/blog/fuzz-testing":3,"navigation-en-us":36,"banner-en-us":464,"footer-en-us":481,"Sam Kerr":726,"next-steps-en-us":739,"footer-source-/en-us/blog/fuzz-testing/":754},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":26,"_id":29,"_type":30,"title":31,"_source":32,"_file":33,"_stem":34,"_extension":35},"/en-us/blog/fuzz-testing","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 recent acquisitions introduce fuzz testing to GitLab","Learn more about fuzz testing and GitLab's recent acquisitions in the space.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749681436/Blog/Hero%20Images/peaches2.jpg","https://about.gitlab.com/blog/fuzz-testing","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"How recent acquisitions introduce fuzz testing to GitLab\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Sam Kerr\"}],\n        \"datePublished\": \"2020-07-17\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Sam Kerr","2020-07-17","\n\n{::options parse_block_html=\"true\" /}\n\nGitLab recently acquired two of the leading companies in the fuzz testing space - [Peach Tech](http://peach.tech/) and\n[Fuzzit](https://fuzzit.dev/)! These two companies bring amazing technology into GitLab. Read on the learn more about the technology and how you can easily integrate fuzz testing into your workflow.\n\n## What is fuzz testing?\nFuzz testing is a powerful way to test your apps to find security issues and\nflaws in business logic that traditional QA methods miss. Fuzz testing works by passing\nrandomly generated inputs to your app, and assesses the results.\n\nWhen the app being tested crashes or behaves in an unexpected way, this is\ncalled a \"fault.\" When a fault is discovered, that means there is a way for a user to provide a\nsimilar, but potentially malicious, input to your app in a production environment to crash or\nexploit it. Discovering faults lets you track down bugs in your code that\nyou wouldn't find otherwise and lets you fix them before an attacker can exploit these weaknesses.\n\nThere are a few different methods for fuzz testing. The two primary\nmethods are what we call \"coverage-guided\" fuzz testing and \"behavioral\"\nfuzz testing. Fuzzit and Peach Tech bring these to Gitlab, respectively. Both methods approach fuzz testing differently.\nCoverage-guided fuzz testing leverages the [source code](/solutions/source-code-management/) and instrumented versions\nof the app to be able to observe the app as it is running and dynamically make\nnew tests during a fuzz testing session to exercise new parts of the app to find bugs. Behavioral fuzzing\ntakes a specification of how the app is _supposed_\nto work and tries random inputs to test how it actually works - which usually\nwill find bugs and security issues. Coverage-guided fuzzing and behavioral fuzzing have unique\nadvantages and disadvantages, which is why GitLab aims to offer our users both options\nso you can choose the right one (or both!) for your use case.\n\n## What makes GitLab’s fuzz testing special?\nTraditionally, fuzz testing has been difficult to set up and hard get results from.\nSome of the challenges with fuzz testing include assembling complex testing harnesses to run the fuzz tests and sorting through large amounts of results, including false positives. These challenges can make it time consuming and challenging to get meaningful results from fuzz testing.\nBringing Peach Tech and Fuzzit fuzz testing techniques into the existing GitLab\nworkflow means users can take advantage of the powerful benefits of fuzz\ntesting without any of the traditional difficulties associated with fuzz testing.\nBy bringing these two technologies into GitLab, we will make it easy for users to integrate fuzz testing into their workflows and present results in a meaningful and actionable way.\n\n![Preview of fuzz testing results in an MR](https://about.gitlab.com/images/blogimages/fuzzing_image.png){: .shadow}\nPreview of fuzz testing results in an MR.\n{: .note.text-center}\n\nGitLab will make fuzz testing part of our existing workflow\nso users do not need to use an external tool or interface. Instead, users simply include\na CI job template to use the fuzz testing engines from Fuzzit and Peach Tech. Results will appear inline for developers, alongside the\nother build and test outputs they use today.\n\n## What about open source?\nOpen source is near and dear to our hearts at GitLab. We recently [moved several\nfeatures](/blog/new-features-to-core/) to\nour open source offering. We’ll continue supporting open source\nwith fuzz testing as well. We have published several of our fuzz testing\nengines as open source, so they are accessible to any user and everyone can contribute. This will\ninclude several of the language-specific coverage-guided [fuzz testing engines](https://gitlab.com/groups/gitlab-org/security-products/analyzers/fuzzers)\nas well as [Peach Tech Community Edition](https://gitlab.com/peachtech/peach-fuzzer-community). In the future, we will consider what\nnew fuzz testing pieces we can open source to the community as we build new\ncapabilities for different use cases. One area we are considering is what we\ncan do as we eventually move into [protocol fuzz testing](https://gitlab.com/gitlab-org/gitlab/-/issues/229275). Watch this space!\n\n## When can I get it?\nGitLab will release the minimal version of fuzz testing [later this year](/direction/maturity/#secure)\nas part of GitLab Ultimate. This release will enable behavioral-guided fuzz testing of\nweb APIs that follow the [OpenAPI](https://swagger.io/specification/) specification standard. We will also be\nenabling coverage-guided fuzz testing on apps written in a variety of languages,\nstarting with Go.\n\n## What’s next?\nGitLab is excited to add fuzz testing to the already large suite of\n[application security scanners](/topics/devsecops/) in GitLab’s [Secure stage](/stages-devops-lifecycle/secure/)\nand make it part of\nthe GitLab workflow that developers use already. This makes it easy to shift security\nleft and take advantage of the benefits of fuzz testing.\n\nAs we mature our fuzz testing offering, we will make\nintegrating fuzz testing results into new parts of the workflow a priority. So GitLab developers\ncan directly view fuzz testing results and fix any issues they find. We will also focus on enabling advanced\nconfiguration options for users who want to customize their fuzz tests.\nFinally, we will be expanding fuzz testing to address\nadditional use cases, beyond just web apps and APIs. You can read more about\nour plans for maturing fuzz testing on our [direction page](/direction/secure/dynamic-analysis/fuzz-testing/).\n\nCover image by [Ian Baldwin](https://unsplash.com/@ianebaldwin) on [Unsplash](https://unsplash.com/photos/f7FwHomDgzg)\n{: .note}\n","news",[23,24,25],"features","open source","security",{"slug":27,"featured":6,"template":28},"fuzz-testing","BlogPost","content:en-us:blog:fuzz-testing.yml","yaml","Fuzz Testing","content","en-us/blog/fuzz-testing.yml","en-us/blog/fuzz-testing","yml",{"_path":37,"_dir":38,"_draft":6,"_partial":6,"_locale":7,"data":39,"_id":460,"_type":30,"title":461,"_source":32,"_file":462,"_stem":463,"_extension":35},"/shared/en-us/main-navigation","en-us",{"logo":40,"freeTrial":45,"sales":50,"login":55,"items":60,"search":391,"minimal":422,"duo":441,"pricingDeployment":450},{"config":41},{"href":42,"dataGaName":43,"dataGaLocation":44},"/","gitlab logo","header",{"text":46,"config":47},"Get free 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