Hybrid fuzzing is a popular software testing technique that combines random fuzzing with
concolic execution. It is widely used in the security domain known for its ability to find deeply …

Hybrid fuzzing is an automated software testing approach that synchronizes test cases
between the fuzzer and the concolic executor to improve performance. The concolic …

Fuzzing is widely used for vulnerability detection. There are various kinds of fuzzers with
different fuzzing strategies, and most of them perform well on their targets. However, in …

Existing directed grey-box fuzzers are effective compared with coverage-based fuzzers.
However, they fail to achieve a balance between effectiveness and efficiency, and it is …

To date, various hybrid fuzzers have been proposed for maximal program vulnerability
exposure by integrating the power of fuzzing strategies and concolic executors. While the …

Fuzzing has gained significant traction in academic research as well as industry thanks to its
effectiveness for discovering software vulnerabilities. However, even the state-of-the-art …

Mutation-based fuzzing is one of the most popular approaches to discover vulnerabilities in
a program. To alleviate the inefficiency of mutation-based fuzzing incurred by high …

Fuzzing and particularly code coverage-guided greybox fuzzing is highly successful in
automated vulnerability discovery, as evidenced by the multitude of vulnerabilities …

We observe that operations performed by standard compilers harm fuzzing because the
optimizations and the Intermediate Representation (IR) lead to transformations that improve …

Fuzzing is a software testing technique that finds bugs by repeatedly injecting mutated
inputs to a target program. Known to be a highly practical approach, fuzzing is gaining more …