base32h-tests
American Fuzzy Lop
base32h-tests | American Fuzzy Lop | |
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1 | 21 | |
1 | 2,903 | |
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10.0 | 0.0 | |
over 3 years ago | almost 3 years ago | |
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GNU General Public License v3.0 or later | Apache License 2.0 |
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base32h-tests
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Prefer table driven tests (2019)
I'm fond of taking this a step further and actually offloading the test cases to a separate language-agnostic file, then have implementations' test harnesses read cases from that file. The Ruby gem for Base32H¹ does exactly this to test the encoder/decoder logic, pulling the test cases from CSV files in a separate repo² included as a Git submodule. One of these days I need to port the other reference implementations over to using the tests repo, but once that's done I'll be able to update the test cases in one place and they'll automatically work everywhere.
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¹ https://github.com/Base32H/base32h.rb/tree/master/spec
² https://github.com/Base32H/base32h-tests
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?
datadriven - Data-Driven Testing for Go
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