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Information leakage is a class of error that can lead to severe consequences.However unlike other errors, it is rarely explicitly considered during thesoftware testing process. LeakFuzzer advances the state of the art by using anoninterference security property together with a security flow policy as anoracle. As the tool extends the state of the art fuzzer, AFL++, LeakFuzzerinherits the advantages of AFL++ such as scalability, automated inputgeneration, high coverage and low developer intervention.  The tool can detect the same set of errors that a normal fuzzer can detect,with the addition of being able to detect violations of secure information flowpolicies.  We evaluated LeakFuzzer on a diverse set of 10 C and C++ benchmarkscontaining known information leaks, ranging in size from just 80 to over 900klines of code. Seven of these are taken from real-world CVEs includingHeartbleed and a recent error in PostgreSQL. Given 20 24-hour runs, LeakFuzzercan find 100% of the leaks in the SUTs whereas existing techniques using suchas the CBMC model checker and AFL++ augmented with different sanitizers canonly find 40% at best.

Hyperfuzzing: black-box security hypertesting with a grey-box fuzzer