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authorvanhauser-thc <vh@thc.org>2021-05-22 16:09:23 +0200
committervanhauser-thc <vh@thc.org>2021-05-22 16:09:30 +0200
commit12c8d339b1204232873e16f8f4898924e5739025 (patch)
tree719d93e11f5f117e2f104fd9e4c8c32ab6508f27
parent5864430d935fac57350726d0133b8926bc62d169 (diff)
downloadafl++-12c8d339b1204232873e16f8f4898924e5739025.tar.gz
update docs
-rw-r--r--README.md1
-rw-r--r--TODO.md2
-rw-r--r--custom_mutators/README.md3
3 files changed, 5 insertions, 1 deletions
diff --git a/README.md b/README.md
index a6ad6b4f..0b89845c 100644
--- a/README.md
+++ b/README.md
@@ -255,6 +255,7 @@ Here are some good writeups to show how to effectively use AFL++:
 If you are interested in fuzzing structured data (where you define what the
 structure is), these links have you covered:
  * Superion for afl++: [https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator)
+ * libprotobuf for afl++: [https://github.com/P1umer/AFLplusplus-protobuf-mutator](https://github.com/P1umer/AFLplusplus-protobuf-mutator)
  * libprotobuf raw: [https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator](https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator)
  * libprotobuf for old afl++ API: [https://github.com/thebabush/afl-libprotobuf-mutator](https://github.com/thebabush/afl-libprotobuf-mutator)
 
diff --git a/TODO.md b/TODO.md
index 5a5e7c4e..398f3d11 100644
--- a/TODO.md
+++ b/TODO.md
@@ -4,7 +4,7 @@
 
  - align map to 64 bytes but keep real IDs
  - Update afl->pending_not_fuzzed for MOpt
- - CPU affinity for many cores? There seems to be an issue > 96 cores
+ - put fuzz target in top line of UI
  - afl-plot to support multiple plot_data
  - afl_custom_fuzz_splice_optin()
  - afl_custom_splice()
diff --git a/custom_mutators/README.md b/custom_mutators/README.md
index 5e1d0fe6..13172cdc 100644
--- a/custom_mutators/README.md
+++ b/custom_mutators/README.md
@@ -54,3 +54,6 @@ https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4
 has a transform function you need to fill for your protobuf format, however
 needs to be ported to the updated afl++ custom mutator API (not much work):
 https://github.com/thebabush/afl-libprotobuf-mutator
+
+same as above but is for current afl++:
+https://github.com/P1umer/AFLplusplus-protobuf-mutator