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| author | llzmb <46303940+llzmb@users.noreply.github.com> | 2021-12-04 22:28:05 +0100 |
|---|---|---|
| committer | llzmb <46303940+llzmb@users.noreply.github.com> | 2021-12-04 22:28:05 +0100 |
| commit | 3506077fd6f250f3c080b58ea3bae117c3b122da (patch) | |
| tree | aa2aa745f9eb3932d23b7a4ee6ec6715f55b6a75 /docs/fuzzing_binary-only_targets.md | |
| parent | 415be06c54a61ae87fd8a99da2ee12d1ea5d1638 (diff) | |
| download | afl++-3506077fd6f250f3c080b58ea3bae117c3b122da.tar.gz | |
Add missing blank lines and remove double blank lines
Diffstat (limited to 'docs/fuzzing_binary-only_targets.md')
| -rw-r--r-- | docs/fuzzing_binary-only_targets.md | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index 15155111..eaed3a91 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -21,6 +21,7 @@ If your target is a library, then use FRIDA mode. If your target is non-linux, then use unicorn_mode. ## Fuzzing binary-only targets with AFL++ + ### QEMU mode QEMU mode is the "native" solution to the program. It is available in the @@ -175,6 +176,7 @@ An alternative solution are binary rewriters. They are faster then the solutions native to AFL++ but don't always work. ### ZAFL + ZAFL is a static rewriting platform supporting x86-64 C/C++, stripped/unstripped, and PIE/non-PIE binaries. Beyond conventional instrumentation, ZAFL's API enables transformation passes (e.g., laf-Intel, @@ -277,7 +279,6 @@ There are many binary-only fuzzing frameworks. Some are great for CTFs but don't work with large binaries, others are very slow but have good path discovery, some are very hard to set-up... - * Jackalope: [https://github.com/googleprojectzero/Jackalope](https://github.com/googleprojectzero/Jackalope) * Manticore: |