go-fuzz
deepstate
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go-fuzz | deepstate | |
---|---|---|
10 | 3 | |
4,705 | 807 | |
- | 0.6% | |
5.2 | 6.0 | |
3 months ago | 8 months ago | |
Go | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
go-fuzz
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Fuzzing in Go
I used this method successfully for my qjson package . It accepts as input a human readable json. It detected a condition I forgot to check in a few minutes. I used the go fuzzer go-fuzz from Dmitry Vyukov. Check the impressive list of trophies at the end of the README. These are bugs found by the fuzzer.
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Go Fuzz Testing – The Basics
It does instrumented fuzzing. The older https://github.com/dvyukov/go-fuzz would rewrite your sources to inject the instrumentation and pass the rewritten sources to the compiler, but it didn't really work with Go modules. This is something that probably makes sense to integrate with the compiler toolchain, same as `go test`'s coverage testing.
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naive question regarding Fuzz testing de/serialisation
And another Go-Fuzz
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Go Fuzzing
Anyone seen good articles on converting go-fuzz tests to native fuzzing? Specifics on the new corpus format and a converter from go-fuzz would be really useful.
It’s great to hear that the fuzzer is built on go-fuzz so hopefully the conversion process won’t be too bad: https://github.com/dvyukov/go-fuzz/issues/329
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Go: Fuzzing Is Beta Ready
> it shows the limitations of the language that you can't just build this inside the language.
Not sure why you'd make that assumption. https://github.com/dvyukov/go-fuzz
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goccy/go-json: A super fast JSON library fully compatible with encoding/json
Rather than explore the specific issues my tests found, I started playing with running https://github.com/dvyukov/go-fuzz against go-json which seems to have fairly quickly found some issues. I've opened https://github.com/goccy/go-json/issues/174 to start the conversation about how you want to proceed here.
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Fuzz Test Proposal just accepted
You can check the go-fuzz's trophies here.
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SQLFuzz made easy to load huge amount of test data into SQL databases
Maybe you can add support for using a fuzzer like https://github.com/dvyukov/go-fuzz or https://github.com/google/gofuzz
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proposal: testing: add fuzz test support
I recently stumbled upon go-fuzz (that is also linked in the proposal). I'm amazed how fuzzing has made the go toolchain stronger and integrated this technique into some of our CI/CD pipelines for continuous testing. Having native fuzzy testing support (not just in go) would be great.
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Add experimental fuzz test support for Go 1.17
Go tests and benchmarks are so easy to write and run: just add TestFoo and BenchmarkFoo functions to a bar_test.go file, and "go test" does the rest. It's currently doable, but it requires a 3rd party library (go-fuzz) and a bit of fluffing around. This will make fuzz testing an equally first-class citizen with standard Go tooling (just add FuzzFoo), and as such we'll probably see a lot more people testing with fuzzing.
I used go-fuzz in GoAWK and it found several bugs (see https://benhoyt.com/writings/goawk/#fuzz-testing), and almost everyone who's done fuzz testing has similar reports. Certainly go-fuzz has found many, many bugs in Go itself: https://github.com/dvyukov/go-fuzz#trophies
For what it's worth, I wrote an article for LWN about the upcoming support for built-in fuzzing in Go: https://lwn.net/Articles/829242/ (of course, if you want full details, read the full proposal).
deepstate
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FuzzTest: a C++ testing framework for writing and executing fuzz tests, property-based tests executed using coverage-guided fuzzing under the hood
Nice fuzzing facilities, similar to traif of bits deepstate but based only to libfuzzer. The API looks similar as well.
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Go: Fuzzing Is Beta Ready
DeepState [1] is a tool that lets you write Google Test-style unit tests, as well as property tests, in either C or C++, and plug in fuzzers and symbolic executors. That is, DeepState bridges this gap between fuzz testing and property testing.
[1] https://github.com/trailofbits/deepstate
- DeepState – common interface to symbolic execution and fuzzing engines
What are some alternatives?
gofuzz - Fuzz testing for go.
fuzztest
gotests - Automatically generate Go test boilerplate from your source code.
honggfuzz - Security oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW based)
realize - Realize is the #1 Golang Task Runner which enhance your workflow by automating the most common tasks and using the best performing Golang live reloading.
Tavor - A generic fuzzing and delta-debugging framework
gomate.io - Behavior-driven development tool for GoLang
go-json - Fast JSON encoder/decoder compatible with encoding/json for Go
gopter - GOlang Property TestER
httpexpect - End-to-end HTTP and REST API testing for Go.
mat - Print mail to stdout
Fake - Fake data generator for Go (Golang)