fuzzcheck-rs
openapi-fuzzer
fuzzcheck-rs | openapi-fuzzer | |
---|---|---|
10 | 4 | |
441 | 549 | |
0.2% | 0.0% | |
4.2 | 6.8 | |
27 days ago | about 1 year ago | |
Rust | Rust | |
MIT License | GNU Affero General Public License v3.0 |
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fuzzcheck-rs
- Fuzzcheck-rs: Structure-aware, in-process, coverage-guided fuzzing engine for Ru
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The sad state of property-based testing libraries
Agreed. A while back I played around with fuzzcheck [1], which let's you write coverage-guided, structure-aware property tests, but the generation is smarter than just slamming a fuzzer's `&[u8]` input into `Arbitrary`. It also supports shrinking, which is nice. Don't know that I would recommend it though. It seemed difficult to write your own `Mutator`s. It also looks somewhat unmaintained nowadays, but I think the direction is worth exploring.
[1]: https://github.com/loiclec/fuzzcheck-rs/
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Fuzzcheck (a structure-aware Rust fuzzer)
Fuzzcheck is a structure-aware fuzzer for rust. "Fuzzing" means feeding large amounts of data into a program and checking for crashes (Fuzzcheck also checks to make sure that all the properties your program should uphold – e.g. a sorting algorithm applied to a list of n items should always return a list of n items – are upheld). Fuzzcheck is an "evolutionary" fuzzer – this means that it generates a set of random inputs, sees what percentage of the program is executed for each input, and keeps inputs which have high levels of percentage of program executed. It then "mutates" these inputs – whereas fuzzers such as AFL/Hongfuzz/etc mutate raw bytes in place (e.g. they swap bytes at different positions, or insert a random byte at a given position to generate inputs similar to the chosen "high coverage" inputs), Fuzzcheck works directly on the Rust types (so it might swap the order of two items in a vec, or randomly insert a new item). It's a really powerful tool for finding lots of bugs.
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fuzzcheck 0.9 release - run coverage-guided fuzz tests alongside your regular unit tests + code coverage visualiser + new online guide and improved documentation
If you want help with Win support (issues/8) maybe post it here to get it added to TWIR.
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What's everyone working on this week (43/2021)?
I am working on a code coverage viewer for my fuzzer (fuzzcheck). I described what I've done so far in this issue and I am hoping to release the first version within two weeks.
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What's everyone working on this week (31/2021)?
The implications for my fuzzer, fuzzcheck, are huge! Compiling fuzz tests is a lot easier. There should be no more need to create a separate fuzz folder, fuzz tests can be regular #[test] functions, private implementation details can be fuzz-tested as well, rust-analyser works as expected, documentation can be easily generated, etc. I can also attach a human-readable coverage report to every test case :)
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What's everyone working on this week (30/2021)?
Since I graduated, I have had a lot more time to work on fuzzcheck. I am trying to flesh it out, test it, and document it for a new release. It has always felt a bit rushed/experimental and now I am hoping to make it into something solid. I have also played with an egui interface for it, to visualise the tested code coverage, understand how the fuzzer’s decisions are made, and also to interactively tweak the fuzzer’s behaviour. It's a lot of work but it's slowly all coming together! :)
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What's your favourite under-rated Rust crate and why?
fuzzcheck-rs is really cool. It combines property-testing with fuzzing, getting the nice, structured nature of the former, and the coverage-driven search of the latter, but it works by mutating the structure directly instead of going through a bit string. So if you have a binary tree, going from A(B, C) to A(C, B) can be a single mutation away if that makes sense in your use case, instead of being arbitrarily far away in the bitstring approach.
- Fuzzcheck: Structure and coverage guided fuzzing for Rust
openapi-fuzzer
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Hey Rustaceans! Got a question? Ask here! (32/2022)!
Hi, I'm working on a fuzzer, that fuzzes APIs based on OpenAPI specification. I'd like to implement shrinking. It means that when an interesting input (for the API) is found, I'd like to create the smallest possible input that still causes the same behaviour of the API. I'd like to implement a payload generation via proptest, because it already has the shrinking ability. I'm having issues implementing the JSON object as a proptest strategy. Here is what I tried so far. I explained it in a detail in stackoverflow question but it did not reach many people. Thanks for your help!
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Show HN: OpenAPI fuzzer – fuzzing APIs based on OpenAPI specification
Thanks for the report. However, without more information I'm not able to help you. What is your setup? How did you run it? could you please share the specification file? Also, let's probably move this discussion to GitHub issues: https://github.com/matusf/openapi-fuzzer/issues
What are some alternatives?
uivonim - Fork of the Veonim Neovim GUI
cats - CATS is a REST API Fuzzer and negative testing tool for OpenAPI endpoints. CATS automatically generates, runs and reports tests with minimum configuration and no coding effort. Tests are self-healing and do not require maintenance.
rs_pbrt - Rust crate to implement a counterpart to the PBRT book's (3rd edition) C++ code. See also https://www.rs-pbrt.org/about ...
restler-fuzzer - RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.
sonyflake-rs - 🃏 A distributed unique ID generator inspired by Twitter's Snowflake.
openapi-yup-generator - CLI tool for generating yup definitions from openapi3.yaml