update binary-only doc
As it is included in afl++ this needs no URL.
+## AFL FRIDA
+
+ In frida_mode you can fuzz binary-only targets easily like with QEMU,
+ with the advantage that frida_mode also works on MacOS (both intel and M1).
+
+ If you want to fuzz a binary-only library then you can fuzz it with
+ frida-gum via utils/afl_frida/, you will have to write a harness to
+ call the target function in the library, use afl-frida.c as a template.
+
+ Both come with afl++ so this needs no URL.
+
+ 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 an intermediate that uses afl++ for fuzzing.
+
+
## WINE+QEMU
Wine mode can run Win32 PE binaries with the QEMU instrumentation.
As it is included in afl++ this needs no URL.
-## AFL FRIDA
-
- If you want to fuzz a binary-only shared library then you can fuzz it with
- frida-gum via utils/afl_frida/, you will have to write a harness to
- call the target function in the library, use afl-frida.c as a template.
-
-
## AFL UNTRACER
If you want to fuzz a binary-only shared library then you can fuzz it with
If anyone finds any coresight implementation for afl please ping me: vh@thc.org
-## FRIDA
-
- Frida is a dynamic instrumentation engine like Pintool, Dyninst and Dynamorio.
- What is special is that it is written Python, and scripted with Javascript.
- It is mostly used to reverse binaries on mobile phones however can be used
- everywhere.
-
- There is a WIP fuzzer available at [https://github.com/andreafioraldi/frida-fuzzer](https://github.com/andreafioraldi/frida-fuzzer)
-
- There is also an early implementation in an AFL++ test branch:
- [https://github.com/AFLplusplus/AFLplusplus/tree/frida](https://github.com/AFLplusplus/AFLplusplus/tree/frida)
-
-
## PIN & DYNAMORIO
Pintool and Dynamorio are dynamic instrumentation engines, and they can be
* QSYM: [https://github.com/sslab-gatech/qsym](https://github.com/sslab-gatech/qsym)
* Manticore: [https://github.com/trailofbits/manticore](https://github.com/trailofbits/manticore)
* S2E: [https://github.com/S2E](https://github.com/S2E)
- * Tinyinst [https://github.com/googleprojectzero/TinyInst](https://github.com/googleprojectzero/TinyInst) (Mac/Windows only)
+ * Tinyinst: [https://github.com/googleprojectzero/TinyInst](https://github.com/googleprojectzero/TinyInst) (Mac/Windows only)
+ * Jackalope: [https://github.com/googleprojectzero/Jackalope](https://github.com/googleprojectzero/Jackalope)
* ... please send me any missing that are good
