From aebc28725b591c9db511aa08a78aea51d5bbde17 Mon Sep 17 00:00:00 2001 From: MarcoFalke Date: Mon, 15 Mar 2021 18:52:55 +0100 Subject: [PATCH] Merge #21398: doc: Update fuzzing docs for afl-clang-lto fab633d2dbfed1efcc3a02061685d56327ae51fd doc: Update fuzzing docs for afl-clang-lto (MarcoFalke) Pull request description: Update the docs to default to `afl-clang-lto`. The afl-gcc (and other afl legacy fuzz engines) are still supported, though discouraged. ACKs for top commit: fanquake: ACK fab633d2dbfed1efcc3a02061685d56327ae51fd - seems to work for me. Compiled and ran some fuzzers using Clang 11 on Bionic. Set `llvm-config` so that `clang-11` would be used over `clang` (10). jarolrod: ACK fab633d2dbfed1efcc3a02061685d56327ae51fd, tested on Ubuntu Focal Tree-SHA512: 3d1969c167bea45a9d691f3b757f51213d550c9c1b895bed1fcf3c2f7345791787cfb13c376291b94eb3181caf4ae3126f4d01c7cebda7b2bb1c40a1294e9a68 --- doc/fuzzing.md | 19 +++++++++---------- 1 file changed, 9 insertions(+), 10 deletions(-) diff --git a/doc/fuzzing.md b/doc/fuzzing.md index 4ebbbdc934..859c3c04b7 100644 --- a/doc/fuzzing.md +++ b/doc/fuzzing.md @@ -128,33 +128,32 @@ Full configure that was tested on macOS Catalina with `brew` installed `llvm`: Read the [libFuzzer documentation](https://llvm.org/docs/LibFuzzer.html) for more information. This [libFuzzer tutorial](https://github.com/google/fuzzing/blob/master/tutorial/libFuzzerTutorial.md) might also be of interest. -# Fuzzing Dash Core using american fuzzy lop (`afl-fuzz`) +# Fuzzing Dash Core using afl++ ## Quickstart guide -To quickly get started fuzzing Dash Core using [`afl-fuzz`](https://github.com/google/afl): +To quickly get started fuzzing Dash Core using [afl++](https://github.com/AFLplusplus/AFLplusplus): ```sh $ git clone https://github.com/dashpay/dash $ cd dash/ -$ git clone https://github.com/google/afl -$ make -C afl/ -$ make -C afl/llvm_mode/ +$ git clone https://github.com/AFLplusplus/AFLplusplus +$ make -C AFLplusplus/ source-only $ ./autogen.sh -# It is possible to compile with afl-gcc and afl-g++ instead of afl-clang. However, running afl-fuzz -# may require more memory via the -m flag. -$ CC=$(pwd)/afl/afl-clang-fast CXX=$(pwd)/afl/afl-clang-fast++ ./configure --enable-fuzz --enable-c++17 +# If afl-clang-lto is not available, see +# https://github.com/AFLplusplus/AFLplusplus#a-selecting-the-best-afl-compiler-for-instrumenting-the-target +$ CC=$(pwd)/AFLplusplus/afl-clang-lto CXX=$(pwd)/AFLplusplus/afl-clang-lto++ ./configure --enable-fuzz --enable-c++17 $ make # For macOS you may need to ignore x86 compilation checks when running "make". If so, # try compiling using: AFL_NO_X86=1 make $ mkdir -p inputs/ outputs/ $ echo A > inputs/thin-air-input -$ FUZZ=bech32 afl/afl-fuzz -i inputs/ -o outputs/ -- src/test/fuzz/fuzz +$ FUZZ=bech32 AFLplusplus/afl-fuzz -i inputs/ -o outputs/ -- src/test/fuzz/fuzz # You may have to change a few kernel parameters to test optimally - afl-fuzz # will print an error and suggestion if so. ``` -Read the [`afl-fuzz` documentation](https://github.com/google/afl) for more information. +Read the [afl++ documentation](https://github.com/AFLplusplus/AFLplusplus) for more information. # Fuzzing Dash Core using Honggfuzz