rapid
American Fuzzy Lop
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rapid | American Fuzzy Lop | |
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4 | 21 | |
538 | 2,903 | |
- | - | |
6.4 | 0.0 | |
26 days ago | almost 3 years ago | |
Go | C | |
Mozilla Public License 2.0 | Apache License 2.0 |
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rapid
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Property based testing in Go
You can check the package here, in official GitHub repo. I recently found this amazing testing framework and now I can't imagine developing tests without it. Let's try to refactor our previous example with this package:
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Prefer table driven tests (2019)
Yes, but using quick is just a PITA, I'd recommend using Rapid https://github.com/flyingmutant/rapid instead
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Why Turborepo is migrating from Go to Rust – Vercel
For finite solutions that you can fit in your head maybe, but I'm still sure that fuzzing, coverage, and [advanced testing](https://github.com/flyingmutant/rapid) are ways to go. And nothing beats integration testing if you need to see how application interacts as a whole.
American Fuzzy Lop
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Prefer table driven tests (2019)
There's some efforts to guide test generation for property based testing to make the instruction pointer explore as large a space as possible.
This effort is more mature in the fuzzing community. See eg American Fuzzy Lop https://github.com/google/AFL
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C++ Faker library
What you're describing, just generating random input to test a program, is sometimes called "blind fuzzing" but the state-of-the-art is far beyond that. Maybe try reading through the documentation of e.g. https://github.com/google/AFL to see what a fuzzer does and why just producing random input isn't even scratching the surface.
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Hyperpom: An Apple Silicon Fuzzer for 64-bit ARM Binaries
for general riscv I used to use this https://github.com/google/AFL I dont know if it supports x64 tho.
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How to fuzz java code with jazzar?
Ex ( AFL, WinAFL, HonggFuzz, LibFuzzer, Jazzer )
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One year ago I wrote a buddy memory allocator - project update
I wrote this little fuzz test target in order to fuzz it with afl (under ASan and UBSan):
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Beariish/little: A small, easily embedded language implemented in a single .c file
afl, which is trivial to apply to this program:
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TCL like interpreter suitable for embedded use
I made my own version of a TCL interpreter (well, a very TCL like langauge) derived from "picol" available at https://github.com/howerj/pickle. There are many different re-implementations and derivatives of this interpreter but they all seem very "crashy", this one has been significantly hardened by using a fuzzer on it which ran for months called American Fuzzy Lop https://lcamtuf.coredump.cx/afl/ . It is also more suitable for embedded use whilst still not having arbitrary restrictions like many other implementations.
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What's in your tool belt?
On Linux afl is a very powerful bug-finding tool, and it's a great companion when doing code review. Composes well with ASan and UBSan.
- Afl - American fuzzy lop - a security-oriented fuzzer
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Difficulty of CSCA48 compared to other first year cs/math courses
b-, https://lcamtuf.coredump.cx/afl/
What are some alternatives?
hopper - Coverage-Guided Greybox Distributed Fuzzer
boofuzz - A fork and successor of the Sulley Fuzzing Framework
base32h.rb - Base32H encoder/decoder in Ruby
honggfuzz - Security oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW based)
Cppcheck - static analysis of C/C++ code
HTTP Parser - http request/response parser for c
PHP CPP - Library to build PHP extensions with C++
ZXing - ZXing ("Zebra Crossing") barcode scanning library for Java, Android
AFLplusplus - The fuzzer afl++ is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!
Experimental Boost.DI - C++14 Dependency Injection Library
pdqsort - Pattern-defeating quicksort.
Better Enums - C++ compile-time enum to string, iteration, in a single header file