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84 lines
2.7 KiB
Markdown
84 lines
2.7 KiB
Markdown
# Custom Mutators
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Custom mutators enhance and alter the mutation strategies of AFL++.
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For further information and documentation on how to write your own, read [the docs](../docs/custom_mutators.md).
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## Examples
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The `./examples` folder contains examples for custom mutators in python and C.
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## Rust
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In `./rust`, you will find rust bindings, including a simple example in `./rust/example` and an example for structured fuzzing, based on lain, in`./rust/example_lain`.
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## Production-Ready Custom Mutators
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This directory holds ready to use custom mutators.
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Just type "make" in the individual subdirectories.
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Use with e.g.
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`AFL_CUSTOM_MUTATOR_LIBRARY=custom_mutators/radamsa/radamsa-mutator.so afl-fuzz ....`
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and add `AFL_CUSTOM_MUTATOR_ONLY=1` if you only want to use the custom mutator.
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Multiple custom mutators can be used by separating their paths with `:` in the environment variable.
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### The AFL++ grammar agnostic grammar mutator
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In `./autotokens` you find a token-level fuzzer that does not need to know
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anything about the grammar of an input as long as it is in ascii and allows
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whitespace.
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It is very fast and effective.
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If you are looking for an example of how to effectively create a custom
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mutator take a look at this one.
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### The AFL++ Grammar Mutator
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If you use git to clone AFL++, then the following will incorporate our
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excellent grammar custom mutator:
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```sh
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git submodule update --init
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```
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Read the README in the [Grammar-Mutator] repository on how to use it.
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[Grammar-Mutator]: https://github.com/AFLplusplus/Grammar-Mutator
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Note that this custom mutator is not very good though!
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### Other Mutators
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atnwalk and gramatron are grammar custom mutators. Example grammars are
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provided.
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honggfuzz, libfuzzer and libafl are partial implementations based on the
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mutator implementations of the respective fuzzers.
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More for playing than serious usage.
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radamsa is slow and not very good.
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## 3rd Party Custom Mutators
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### Superion Mutators
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Adrian Tiron ported the Superion grammar fuzzer to AFL++, it is WIP and
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requires cmake (among other things):
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[https://github.com/adrian-rt/superion-mutator](https://github.com/adrian-rt/superion-mutator)
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### libprotobuf Mutators
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There are two WIP protobuf projects, that require work to be working though:
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transforms protobuf raw:
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https://github.com/bruce30262/libprotobuf-mutator_fuzzing_learning/tree/master/4_libprotobuf_aflpp_custom_mutator
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has a transform function you need to fill for your protobuf format, however
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needs to be ported to the updated AFL++ custom mutator API (not much work):
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https://github.com/thebabush/afl-libprotobuf-mutator
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same as above but is for current AFL++:
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https://github.com/P1umer/AFLplusplus-protobuf-mutator
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