American Fuzzy Lop
fishnet
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American Fuzzy Lop | fishnet | |
---|---|---|
21 | 45 | |
2,903 | 690 | |
- | 1.0% | |
0.0 | 9.0 | |
almost 3 years ago | 19 days ago | |
C | Rust | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
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/
fishnet
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Chess-GPT's Internal World Model
> The problem is that a stockfish based bot knows some very strong moves, but deliberately plays bad moves so itβs about the right skill level.
What are you basing this on? To me it seems like difficulty is set by limiting search depth/time: https://github.com/lichess-org/fishnet/blob/master/src/api.r...
- Ask HN: What fuel for my data furnace?
- Fishnet: Distributed Stockfish Analysis for Lichess.org
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What is the deep of analysis of stockfish in lichess?
The LiChess documentation indicates how many nodes are searched: https://github.com/lichess-org/fishnet/blob/master/doc/protocol.md
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Initial eval graph doesnt change after subsequently increasing depth
The eval graph comes from an analysis done by fishnet. The analysis that you see changing is done locally in the browser on your device. That is why there is a difference.
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Is Lichess getting slower for people?
YOU can help by running this: https://github.com/lichess-org/fishnet
- January was a month of records for Lichess π - 147,000 concurrent players - 161 million games played - More than 4 million active users - Almost as many new accounts created as November and December combined - 4 billion games in the Lichess DB - Such an amazing start to 2023!
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Why is Lichess analysis limited to 15 CPUs for me?
Game analyses are made in a distributed way, but only accepted from users they trust. You can check the tool they use for that here and they instructions to use it.
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chess.com analysis of the same move in back-to-back games
It's not on the user's device and not on their servers. The game analysis is done by fishnet using donated CPU time.
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If Chess.com made all of their premium features free, would you prefer it over Lichess or would Lichess still be better?
You can run a program on your computer, so that Lichess can run Stockfish analysis using your CPU https://github.com/lichess-org/fishnet
What are some alternatives?
boofuzz - A fork and successor of the Sulley Fuzzing Framework
lila - β lichess.org: the forever free, adless and open source chess server β
Cppcheck - static analysis of C/C++ code
stockfish.wasm - WebAssembly port of the strong chess engine Stockfish
honggfuzz - Security oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW based)
pgn-tactics-generator - Generate chess puzzles / tactics from a pgn file
HTTP Parser - http request/response parser for c
api - Lichess API documentation and examples
PHP CPP - Library to build PHP extensions with C++
online-go.com - Source code for the Online-Go.com web interface
ZXing - ZXing ("Zebra Crossing") barcode scanning library for Java, Android
lichobile - lichess.org mobile application