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authorAlexander Shvedov <60114847+a-shvedov@users.noreply.github.com>2024-05-30 10:43:01 +0300
committerGitHub <noreply@github.com>2024-05-30 10:43:01 +0300
commitf8a5f1cd9ea907654f42fa06ce6b6bfd4b8c1b13 (patch)
tree7aec2a095a30ed609ce96f85ec3c4e0a8b8eb74c /docs/fuzzing_binary-only_targets.md
parent629edb1e78d791894ce9ee6d53259f95fe1a29af (diff)
parente7d871c8bf64962a658e447b90a1a3b43aaddc28 (diff)
downloadafl++-f8a5f1cd9ea907654f42fa06ce6b6bfd4b8c1b13.tar.gz
Merge branch 'AFLplusplus:stable' into stable
Diffstat (limited to 'docs/fuzzing_binary-only_targets.md')
-rw-r--r--docs/fuzzing_binary-only_targets.md8
1 files changed, 1 insertions, 7 deletions
diff --git a/docs/fuzzing_binary-only_targets.md b/docs/fuzzing_binary-only_targets.md
index 9d9d6bb6..a151bce4 100644
--- a/docs/fuzzing_binary-only_targets.md
+++ b/docs/fuzzing_binary-only_targets.md
@@ -94,8 +94,7 @@ For more information, see
 
 In FRIDA mode, you can fuzz binary-only targets as easily as with QEMU mode.
 FRIDA mode is most of the times slightly faster than QEMU mode. It is also
-newer, lacks COMPCOV, and has the advantage that it works on MacOS (both intel
-and M1).
+newer, and has the advantage that it works on MacOS (both intel and M1).
 
 To build FRIDA mode:
 
@@ -113,10 +112,6 @@ The mode is approximately 2-5x slower than compile-time instrumentation, and is
 less conducive to parallelization. But for binary-only fuzzing, it gives a huge
 speed improvement if it is possible to use.
 
-If you want to fuzz a binary-only library, then you can fuzz it with frida-gum
-via frida_mode/. You will have to write a harness to call the target function in
-the library, use afl-frida.c as a template.
-
 You can also perform remote fuzzing with frida, e.g., if you want to fuzz on
 iPhone or Android devices, for this you can use
 [https://github.com/ttdennis/fpicker/](https://github.com/ttdennis/fpicker/) as
@@ -302,7 +297,6 @@ some are very hard to set up...
 * S2E: [https://github.com/S2E](https://github.com/S2E)
 * TinyInst:
   [https://github.com/googleprojectzero/TinyInst](https://github.com/googleprojectzero/TinyInst)
-  (Mac/Windows only)
 *  ... please send me any missing that are good
 
 ## Closing words