about summary refs log tree commit diff
path: root/docs/fuzzing_binary-only_targets.md
diff options
context:
space:
mode:
authorvan Hauser <vh@thc.org>2022-09-16 11:51:17 +0200
committerGitHub <noreply@github.com>2022-09-16 11:51:17 +0200
commit869138aa41db5411535003fa575a35b75b857389 (patch)
tree1acbb68c44c4e3c743714cddedf4eb01066fea62 /docs/fuzzing_binary-only_targets.md
parent147654f8715d237fe45c1657c87b2fe36c4db22a (diff)
parent5bf8bffd4aaedad1eef83504c46fc762e0262c27 (diff)
downloadafl++-869138aa41db5411535003fa575a35b75b857389.tar.gz
Merge pull request #1519 from AFLplusplus/dev
push to stable
Diffstat (limited to 'docs/fuzzing_binary-only_targets.md')
-rw-r--r--docs/fuzzing_binary-only_targets.md2
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)