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Techniques for dividing a single byte stream into multiple structured integers or options for a target.
Distinct from Complex Data Types: Focuses on the operational splitting of a fuzzer's data stream rather than static schema definitions
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This project is a comprehensive software fuzzing knowledge base and technical guide designed for discovering software bugs and vulnerabilities. It serves as a resource for implementing coverage-guided, structure-aware, and hybrid fuzzing across various targets, including compiled binaries and hardware kernels. The resource provides specialized guidance on using grammars and defined data formats to generate syntactically valid inputs for complex APIs. It also details methods for combining grey-box fuzzing with symbolic execution to reach deep execution paths and utilizes binary instrumentation
Explains how to split a single data stream into multiple inputs for APIs requiring complex parameter sets.