1. Install AFL++ and its dependencies (e.g., LLVM, Python).
2. Create a fuzzing harness that calls the target function with fuzzer-provided data.
3. Compile the target application with AFL++ instrumentation using `afl-clang-fast` or `afl-gcc-fast`.
4. Prepare an initial corpus of seed inputs for the fuzzer.
5. Run AFL++ with the seed inputs and specify an output directory.
6. Monitor the fuzzer's progress and analyze any crashes or hangs that are found.
7. Minimize the corpus to reduce redundancy and improve efficiency.
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