# Building the ART Fuzzer There are two ways to run one of the existing fuzzers: on host or on device. The building and running takes place in the full Android platform tree (aosp-main-with-phones). For host there's the possibility of using a smaller AOSP Android manifest (master-art). The latter is faster to build, because it only has the sources and dependencies required for the module. In the following tutorial we use the class verification fuzzer. We set a shell variable with the fuzzer's name for convenience. Their names can be found in the Android.bp file, under the cc_fuzz build rules. ``` FUZZER_NAME=libart_verify_classes_fuzzer ``` ## Common steps for host and device 1. Navigate to the root directory of the android repository. 2. From the console, set up the development environment. ``` source build/envsetup.sh ``` 3. Build the fuzzer for host/device The command is composed of: ``` lunch -trunk_staging- SANITIZE_HOST=address make ${FUZZER_NAME} ``` For host you can use any valid lunch target, for example: ``` lunch silvermont-trunk_staging-eng ``` For device, you have to select your target according to the device you are using it to run the fuzzer. ``` lunch aosp_husky-trunk_staging-userdebug ``` ## Host 4. Run the fuzzer In this example we assume an x86_64 host architecture: ``` out/host/linux-x86/fuzz/x86_64/${FUZZER_NAME}/${FUZZER_NAME} \ out/host/linux-x86/fuzz/x86_64/${FUZZER_NAME}/corpus ``` The first part of the command is the path to the fuzzer's binary, followed by the corpus. See [llvm.org/docs/LibFuzzer](https://llvm.org/docs/LibFuzzer.html#options) for more valid flags. For example, you can add the flag `-print_pcs=1` which makes it more verbose. ## Device 4. Add the fuzzer's files on the device ``` adb root adb sync data ``` 5. Run the fuzzer Any supported architecture can be used. For example, for arm64: ``` adb shell /data/fuzz/arm64/${FUZZER_NAME}/${FUZZER_NAME} \ /data/fuzz/arm64/${FUZZER_NAME}/corpus ``` The first part of the command is the path to the fuzzer's binary and the next one is the corpus. ## Corpus The fuzzer uses a corpus as a starting point in order to generate new inputs representing DEX files. Our current corpus contains a mix of hand-created DEX files, regression tests, and DEX files from our test suite. Also, when the fuzzer generates a new input and it proves that it offers more code coverage, it is added to the existing corpus as a DEX file. If you want to run with the initial corpus, it needs to be removed and built again. For host, assuming an x86_64 host architecture: ``` rm -rf out/host/linux-x86/fuzz/x86_64/${FUZZER_NAME}/corpus SANITIZE_HOST=address make ${FUZZER_NAME} ``` For device, you also need to sync the data. For example, for arm64: ``` adb shell rm -rf /data/fuzz/arm64/${FUZZER_NAME}/corpus SANITIZE_HOST=address make ${FUZZER_NAME} adb sync data ```