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authorvan Hauser <vh@thc.org>2022-09-10 10:06:20 +0200
committerGitHub <noreply@github.com>2022-09-10 10:06:20 +0200
commitc06c297933f4014b130df5c19a0c10fa5405e120 (patch)
treea301d86461c4d6c764fd8354de9fc6c64986f826 /docs/fuzzing_binary-only_targets.md
parent3e30b700dd6390f5ca77a222633123c390e99e29 (diff)
parentffad6f3f095fce0a6a570727fb97593873a64b26 (diff)
downloadafl++-c06c297933f4014b130df5c19a0c10fa5405e120.tar.gz
Merge pull request #1511 from tocic/fix/docs_typos
Fix typos in docs
Diffstat (limited to 'docs/fuzzing_binary-only_targets.md')
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diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md
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--- a/docs/fuzzing_binary-only_targets.md
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@@ -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)