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68 lines
2.5 KiB
Markdown
68 lines
2.5 KiB
Markdown
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# trezor-crypto fuzzing
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Selected functions can be fuzzed via specific libFuzzer harnesses for increased test coverage and issue detection.
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Note: the following commands are relative to the trezor-crypto main directory.
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## Build
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A modern C compiler with built-in libFuzzer support is required. The build process will use `clang` by default.
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Set the `CC=` environment variable if you want to use a special compiler variant.
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```bash
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make clean
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FUZZER=1 make fuzzer
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```
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### Sanitizers
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Recommended: ASAN / UBSAN / MSAN flags for error detection can be specified via the special `SANFLAGS`.
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Examples:
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* `SANFLAGS="-fsanitize=address,undefined"`
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* `SANFLAGS="-fsanitize=memory"`
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### Optimizations
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Override `OPTFLAGS` to test the library at different optimization levels or simplify the debugging of detected issues.
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Example:
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* `OPTFLAGS="-O0 -ggdb3"`
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## Operation
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See the [libFuzzer documentation](https://llvm.org/docs/LibFuzzer.html#options) for valid options and usage. Detailed fuzzer usage and relevant considerations are out of scope of this document.
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**Warning**: fuzzing is resource-intensive and can have a negative impact on your system stability.
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Basic fuzzer call:
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```bash
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./fuzzer/fuzzer
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```
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Here is a more sophisticated multithreading example with a persistent input corpus and other optimizations:
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```bash
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mkdir fuzzer/fuzzer_corpus
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./fuzzer/fuzzer -max_len=2048 -use_value_profile=1 -jobs=16 -timeout=1 -reload=5 -print_pcs=1 -print_funcs=42 fuzzer/fuzzer_corpus
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```
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Hint: for more permanent setups, consider invoking the fuzzer from outside of the source directory to avoid cluttering it with logfiles and crash inputs.
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## Automated fuzzer dictionary generation
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[Dictionaries](https://llvm.org/docs/LibFuzzer.html#dictionaries) are a useful mechanism to augment the capabilities of the fuzzer. Specify them via the `-dict=` flag.
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### Collect interesting strings from the unit tests
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``` bash
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grep -r -P -o -h "\"\w+\"" tests | sort | uniq > fuzzer_crypto_tests_strings_dictionary1.txt
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```
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## Evaluate source coverage
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1. build the fuzzer binary with `CFLAGS="-fprofile-instr-generate -fcoverage-mapping"`
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1. run with suitable `-runs=` or `-max_total_time=` limits
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1. convert the recorded data `llvm-profdata merge -output=default.profdata -instr default.profraw`
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1. render the data `llvm-cov show fuzzer/fuzzer -instr-profile=default.profdata -format=html -output-dir=coverage-report`
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1. analyze report at `coverage-report/index.html`
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1. (optional) remove artifacts with `rm default.profraw default.profdata && rm -r coverage-report`
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