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Fuzzing has been an important approach for finding bugs and vulnerabilitiesin programs. Many fuzzers deployed in industry run daily and can generate anoverwhelming number of crashes. Diagnosing such crashes can be very challengingand time-consuming. Existing fuzzers typically employ heuristics such as codecoverage or call stack hashes to weed out duplicate reporting of bugs. Whilethese heuristics are cheap, they are often imprecise and end up still reportingmany "unique" crashes corresponding to the same bug. In this paper, we presentFuzzerAid that uses fault signatures to group crashes reported by the fuzzers.Fault signature is a small executable program and consists of a selection ofnecessary statements from the original program that can reproduce a bug. In ourapproach, we first generate a fault signature using a given crash. We thenexecute the fault signature with other crash inducing inputs. If the failure isreproduced, we classify the crashes into the group labeled with the faultsignature; if not, we generate a new fault signature. After all the crashinducing inputs are classified, we further merge the fault signatures of thesame root cause into a group. We implemented our approach in a tool calledFuzzerAid and evaluated it on 3020 crashes generated from 15 real-world bugsand 4 large open source projects. Our evaluation shows that we are able tocorrectly group 99.1% of the crashes and reported only 17 (+2) "unique" bugs,outperforming the state-of-the-art fuzzers.

FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures