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Records which control-flow edges the target traverses into a compact bitmap to guide fuzzing.
Distinct from Shared-Memory Coverage Bitmaps: Distinct from Shared-Memory Coverage Bitmaps: focuses on the edge-coverage bitmap feedback mechanism for fuzzing, not just shared memory tracking.
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AFL++ is a coverage-guided fuzzing framework that discovers crashes and hangs in software by mutating inputs while tracking which code paths are exercised. It functions as both a fuzzing engine and a campaign manager, supporting targets with or without source code through compile-time instrumentation, dynamic binary instrumentation, and emulation. The framework includes tools for crash triage and analysis, test case minimization, and campaign deployment across local or distributed environments. The framework distinguishes itself through its breadth of instrumentation backends, allowing users
Records control-flow edges into a compact bitmap to guide the fuzzer toward new code paths.