forked from OSchip/llvm-project
1dc1ff85d7
Edited loop_proto and its converter to make more "vectorizable" code according to kcc's comment in D47666 - Removed all while loops - Can only index into array with induction variable Patch By: emmettneyman Differential Revision: https://reviews.llvm.org/D47920 llvm-svn: 334252 |
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.. | ||
fuzzer-initialize | ||
handle-cxx | ||
proto-to-cxx | ||
CMakeLists.txt | ||
ClangFuzzer.cpp | ||
Dockerfile | ||
DummyClangFuzzer.cpp | ||
ExampleClangLoopProtoFuzzer.cpp | ||
ExampleClangProtoFuzzer.cpp | ||
README.txt | ||
cxx_loop_proto.proto | ||
cxx_proto.proto |
README.txt
This directory contains two utilities for fuzzing Clang: clang-fuzzer and clang-proto-fuzzer. Both use libFuzzer to generate inputs to clang via coverage-guided mutation. The two utilities differ, however, in how they structure inputs to Clang. clang-fuzzer makes no attempt to generate valid C++ programs and is therefore primarily useful for stressing the surface layers of Clang (i.e. lexer, parser). clang-proto-fuzzer uses a protobuf class to describe a subset of the C++ language and then uses libprotobuf-mutator to mutate instantiations of that class, producing valid C++ programs in the process. As a result, clang-proto-fuzzer is better at stressing deeper layers of Clang and LLVM. =================================== Building clang-fuzzer =================================== Within your LLVM build directory, run CMake with the following variable definitions: - CMAKE_C_COMPILER=clang - CMAKE_CXX_COMPILER=clang++ - LLVM_USE_SANITIZE_COVERAGE=YES - LLVM_USE_SANITIZER=Address Then build the clang-fuzzer target. Example: cd $LLVM_SOURCE_DIR mkdir build && cd build cmake .. -GNinja -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \ -DLLVM_USE_SANITIZE_COVERAGE=YES -DLLVM_USE_SANITIZER=Address ninja clang-fuzzer ====================== Running clang-fuzzer ====================== bin/clang-fuzzer CORPUS_DIR ======================================================= Building clang-proto-fuzzer (Linux-only instructions) ======================================================= Install the necessary dependencies: - binutils // needed for libprotobuf-mutator - liblzma-dev // needed for libprotobuf-mutator - libz-dev // needed for libprotobuf-mutator - docbook2x // needed for libprotobuf-mutator - Recent version of protobuf [3.3.0 is known to work] Within your LLVM build directory, run CMake with the following variable definitions: - CMAKE_C_COMPILER=clang - CMAKE_CXX_COMPILER=clang++ - LLVM_USE_SANITIZE_COVERAGE=YES - LLVM_USE_SANITIZER=Address - CLANG_ENABLE_PROTO_FUZZER=ON Then build the clang-proto-fuzzer and clang-proto-to-cxx targets. Optionally, you may also build clang-fuzzer with this setup. Example: cd $LLVM_SOURCE_DIR mkdir build && cd build cmake .. -GNinja -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \ -DLLVM_USE_SANITIZE_COVERAGE=YES -DLLVM_USE_SANITIZER=Address \ -DCLANG_ENABLE_PROTO_FUZZER=ON ninja clang-proto-fuzzer clang-proto-to-cxx This directory also contains a Dockerfile which sets up all required dependencies and builds the fuzzers. ============================ Running clang-proto-fuzzer ============================ bin/clang-proto-fuzzer CORPUS_DIR Arguments can be specified after -ignore_remaining_args=1 to modify the compiler invocation. For example, the following command line will fuzz LLVM with a custom optimization level and target triple: bin/clang-proto-fuzzer CORPUS_DIR -ignore_remaining_args=1 -O3 -triple \ arm64apple-ios9 To translate a clang-proto-fuzzer corpus output to C++: bin/clang-proto-to-cxx CORPUS_OUTPUT_FILE