winafl
American Fuzzy Lop
| winafl | American Fuzzy Lop | |
|---|---|---|
| 2 | 21 | |
| 2,245 | 2,903 | |
| 0.7% | - | |
| 6.3 | 0.0 | |
| 25 days ago | almost 3 years ago | |
| C | C | |
| Apache License 2.0 | Apache License 2.0 |
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winafl
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Trying to get AFL to compile
I cloned the repository from https://github.com/googleprojectzero/winafl.git
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How to fuzz java code with jazzar?
Ex ( AFL, WinAFL, HonggFuzz, LibFuzzer, Jazzer )
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?
honggfuzz - Security oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW based)
boofuzz - A fork and successor of the Sulley Fuzzing Framework
radamsa
kernel-fuzzer-for-xen-project - Kernel Fuzzer for Xen Project (KF/x) - Hypervisor-based fuzzing using Xen VM forking, VMI & AFL
Cppcheck - static analysis of C/C++ code
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!
HTTP Parser - http request/response parser for c
jazzer - Coverage-guided, in-process fuzzing for the JVM
PHP CPP - Library to build PHP extensions with C++
peach - Peach is a fuzzing framework which uses a DSL for building fuzzers and an observer based architecture to execute and monitor them.
ZXing - ZXing ("Zebra Crossing") barcode scanning library for Java, Android