Fuzzing is an important technique in software and security testing that involves continuously
generating a large number of test cases against target programs to discover unexpected …

In recent years, REST API fuzzing has emerged to explore errors on a cloud service. Its
performance highly depends on the sequence construction and request generation …

In this paper, we present a technique for learning seed-adaptive mutation strategies for
fuzzers. The performance of mutation-based fuzzers highly depends on the mutation …

Combinatorial testing (CT) is considered as a practical approach to detect software faults,
which has arisen from the interaction between factors affecting the software behavior …

Multiple base fuzzers collaborate as a fuzzer combination. Fuzzer combinations have been
proven to perform more robustly and efficiently when fuzzing complicated real-world …

In recent years, coverage-based greybox fuzzing has proven to be an effective and practical
technique for discovering software vulnerabilities. The availability of American Fuzzy Loop …

As one of the most successful techniques in hunting software bugs, Coverage-guided
Greybox Fuzzing (CGF) intends to move fuzzing campaigns towards executions that can …

While the aim of fuzzer evaluation is to establish fuzzer performance in general, an
evaluation is always conducted on a specific benchmark. In this paper, we investigate the …

Coverage-guided greybox fuzzing (CGF) has become the mainstream technology used in
the field of vulnerability mining, which has been proven to be effective. Seed scheduling, the …

The mutation-based greybox fuzz testing technique is one of the widely used dynamic
vulnerability detection techniques. It generates testcases for testing by mutating input seeds …