Fuzzing is a powerful software testing technique renowned for its effectiveness in identifying software vulnerabilities. Traditional fuzzing evaluations typically focus on overall fuzzer performance across a set of target programs, yet few benchmarks consider how fine-grained program features influence fuzzing effectiveness. To bridge this gap, we introduce FeatureBench, a novel benchmark designed to generate programs with configurable, fine-grained program features to enhance fuzzing evaluations. We reviewed 25 recent grey-box fuzzing studies, extracting 7 program features related to control-flow and data-flow that can impact fuzzer performance. Using these features, we generated a benchmark consisting of 153 programs controlled by 10 fine-grained configurable parameters. We evaluated 11 fuzzers using this benchmark, with each fuzzer representing either distinctly claimed improvements or serving as a widely used baseline in fuzzing evaluations. The results indicate that fuzzer performance varies significantly based on the program features and their strengths, highlighting the importance of incorporating program characteristics into fuzzing evaluations.
Thu 26 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
16:00 - 17:15 | |||
16:00 25mTalk | Program Feature-based Benchmarking for Fuzz Testing Research Papers Miao Miao The University of Texas at Dallas, Sriteja Kummita Fraunhofer Institute for Mechatronic Systems Design (Fraunhofer IEM), Eric Bodden Heinz Nixdorf Institute at Paderborn University; Fraunhofer IEM, Shiyi Wei University of Texas at Dallas DOI | ||
16:25 25mTalk | Unlocking Low Frequency Syscalls in Kernel Fuzzing with Dependency-based RAG Research Papers Zhiyu Zhang Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Longxing Li Institute of Information Engineering, Chinese Academy of Sciences, China, Ruigang Liang Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Kai Chen Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences DOI | ||
16:50 25mTalk | Structure-Aware, Diagnosis-Guided ECU Firmware Fuzzing Research Papers Qicai Chen Fudan University, China, Kun Hu School of Computer Science, Fudan University, Sichen Gong Fudan University, China, Bihuan Chen Fudan University, kevin kong Fudan University, Haowen Jiang Fudan University, China, Bingkun Sun Fudan University, You Lu Fudan University, Xin Peng Fudan University DOI | ||
Cosmos 3A is the first room in the Cosmos 3 wing.
When facing the main Cosmos Hall, access to the Cosmos 3 wing is on the left, close to the stairs. The area is accessed through a large door with the number “3”, which will stay open during the event.