Fairfuzz: A targeted mutation strategy for increasing greybox fuzz testing coverage
In recent years, fuzz testing has proven itself to be one of the most effective techniques for
finding correctness bugs and security vulnerabilities in practice. One particular fuzz testing …
finding correctness bugs and security vulnerabilities in practice. One particular fuzz testing …
Fairfuzz: Targeting rare branches to rapidly increase greybox fuzz testing coverage
In recent years, fuzz testing has proven itself to be one of the most effective techniques for
finding correctness bugs and security vulnerabilities in practice. One particular fuzz testing …
finding correctness bugs and security vulnerabilities in practice. One particular fuzz testing …
{FIXREVERTER}: A Realistic Bug Injection Methodology for Benchmarking Fuzz Testing
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 …
pace. Such proposals are assessed empirically: Can they be shown to perform better than …
Turning programs against each other: high coverage fuzz-testing using binary-code mutation and dynamic slicing
U Kargén, N Shahmehri - Proceedings of the 2015 10th Joint Meeting on …, 2015 - dl.acm.org
Mutation-based fuzzing is a popular and widely employed black-box testing technique for
finding security and robustness bugs in software. It owes much of its success to its simplicity; …
finding security and robustness bugs in software. It owes much of its success to its simplicity; …
SAFL: increasing and accelerating testing coverage with symbolic execution and guided fuzzing
Mutation-based fuzzing is a widely used software testing technique for bug and vulnerability
detection, and the testing performance is greatly affected by the quality of initial seeds and …
detection, and the testing performance is greatly affected by the quality of initial seeds and …
Fuzzfactory: domain-specific fuzzing with waypoints
Coverage-guided fuzz testing has gained prominence as a highly effective method of finding
security vulnerabilities such as buffer overflows in programs that parse binary data …
security vulnerabilities such as buffer overflows in programs that parse binary data …
Superion: Grammar-aware greybox fuzzing
In recent years, coverage-based greybox fuzzing has proven itself to be one of the most
effective techniques for finding security bugs in practice. Particularly, American Fuzzy Lop …
effective techniques for finding security bugs in practice. Particularly, American Fuzzy Lop …
{MUZZ}: Thread-aware grey-box fuzzing for effective bug hunting in multithreaded programs
Grey-box fuzz testing has revealed thousands of vulnerabilities in real-world software owing
to its lightweight instrumentation, fast coverage feedback, and dynamic adjusting strategies …
to its lightweight instrumentation, fast coverage feedback, and dynamic adjusting strategies …
Fuzzing with code fragments
Fuzz testing is an automated technique providing random data as input to a software system
in the hope to expose a vulnerability. In order to be effective, the fuzzed input must be …
in the hope to expose a vulnerability. In order to be effective, the fuzzed input must be …
{FuzzGuard}: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning
Recently, directed grey-box fuzzing (DGF) becomes popular in the field of software testing.
Different from coverage-based fuzzing whose goal is to increase code coverage for …
Different from coverage-based fuzzing whose goal is to increase code coverage for …