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better wording, typo

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hexcoder
2020-12-24 09:57:33 +01:00
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@ -690,7 +690,7 @@ Note that there are also a lot of tools out there that help fuzzing with afl++
(some might be deprecated or unsupported):
Minimization of test cases:
* [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of the minimization of test case by using many CPU cores.
* [afl-pytmin](https://github.com/ilsani/afl-pytmin) - a wrapper for afl-tmin that tries to speed up the process of minimization of a single test case by using many CPU cores.
* [afl-ddmin-mod](https://github.com/MarkusTeufelberger/afl-ddmin-mod) - a variation of afl-tmin based on the ddmin algorithm.
* [halfempty](https://github.com/googleprojectzero/halfempty) - is a fast utility for minimizing test cases by Tavis Ormandy based on parallelization.
@ -745,7 +745,7 @@ the speed compared to qemu_mode (but slower than persistent mode).
### Unicorn
For non-Linux binaries you can use afl++'s unicorn mode which can emulate
anything you want - for the price of speed and the user writing scripts.
anything you want - for the price of speed and user written scripts.
See [unicorn_mode](unicorn_mode/README.md).
It can be easily built by:
@ -757,16 +757,16 @@ cd unicorn_mode
### Shared libraries
If the goal is to fuzz a dynamic library then there are two options available.
For both you need to write a small hardness that loads and calls the library.
For both you need to write a small harness that loads and calls the library.
Faster is the frida solution: [utils/afl_frida/README.md](utils/afl_frida/README.md)
Another, less precise and slower option is using ptrace with debugger interrupt
instrumentation: [utils/afl_untracer/README.md](utils/afl_untracer/README.md)
instrumentation: [utils/afl_untracer/README.md](utils/afl_untracer/README.md).
### More
A more comprehensive description of these and other options can be found in
[docs/binaryonly_fuzzing.md](docs/binaryonly_fuzzing.md)
[docs/binaryonly_fuzzing.md](docs/binaryonly_fuzzing.md).
## Challenges of guided fuzzing