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author | tocic <tocic@protonmail.ch> | 2022-09-10 07:41:19 +0300 |
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committer | tocic <tocic@protonmail.ch> | 2022-09-10 07:41:19 +0300 |
commit | ffad6f3f095fce0a6a570727fb97593873a64b26 (patch) | |
tree | 9b889113b092988796fa2bc9a34582e39d821f62 /docs/fuzzing_binary-only_targets.md | |
parent | 147654f8715d237fe45c1657c87b2fe36c4db22a (diff) | |
download | afl++-ffad6f3f095fce0a6a570727fb97593873a64b26.tar.gz |
Fix typos in docs
Diffstat (limited to 'docs/fuzzing_binary-only_targets.md')
-rw-r--r-- | docs/fuzzing_binary-only_targets.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md index c97af1b9..266920e6 100644 --- a/docs/fuzzing_binary-only_targets.md +++ b/docs/fuzzing_binary-only_targets.md @@ -291,7 +291,7 @@ its IPT performance is just 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... +some are very hard to set up... * Jackalope: [https://github.com/googleprojectzero/Jackalope](https://github.com/googleprojectzero/Jackalope) |