Fuzzing is arguably the most practical approach for detecting security bugs in software, but a
non-trivial extent of efforts is required for its adoption. To be effective, high-quality fuzz …

At Google we have found tens of thousands of security and robustness bugs by fuzzing C
and C++ libraries. To fuzz a library, a fuzzer requires a fuzz driver—which exercises some …

Fuzz testing has been used to find bugs in programs since the 1990s, but despite decades
of dedicated research, there is still no consensus on which fuzzing techniques work best …

Fuzz testing is an effective and scalable technique to perform software security
assessments. Yet, contemporary fuzzers fall short of thoroughly testing applications with a …

Fuzzing is a technique widely used in vulnerability detection. The process usually involves
writing effective fuzz driver programs, which, when done manually, can be extremely labor …

Fuzzing is a simple yet effective approach to discover software bugs utilizing randomly
generated inputs. However, it is limited by coverage and cannot find bugs hidden in deep …

Fuzz testing, or fuzzing, has become one of the de facto standard techniques for bug finding
in the software industry. In general, fuzzing provides various inputs to the target program …

Fuzzing technology has been widely used to discover vulnerabilities, but existing fuzzing
techniques still cannot cover and explore all functions in an application or a library. The …

Randomly mutating well-formed program inputs or simply fuzzing, is a highly effective and
widely used strategy to find bugs in software. Other than showing fuzzers find bugs, there …

Fuzz testing is an active area of research with proposed improvements published at a rapid
pace. Such proposals are assessed empirically: Can they be shown to perform better than …