Artifacts - Scalable Program Clone Search through Spectral Analysis

We focus on the problem of program clone search, which involves finding the program in a repository most similar to a target program. Program clone search has important applications, including malware detection and program clustering. In solving this problem, the inherent workflow involves disassembly, feature extraction (or preprocessing), clone searches, and subsequent generation of tables. A good similarity metric is crucial to finding the repository's closest program. It has to be precise and robust even in cross-architecture scenarios and fast even when dealing with huge repositories. This artifact encompasses 21 distinctive clone search methods. Each method is different, and therefore, their workflow may be slightly different. Overall, the artifact is a purposely-built framework for clone search method comparison. It is easily extensible and can be tweaked to carry out new measurements. The artifact includes four datasets with vast numbers of programs: Basic (1K), BinKit (96K), IoT (20K), and Windows (85K). Due to the enormous scale of these datasets, this artifact demands significant time consumption. To offer a perspective, the disassembly process on these considerable datasets can take days even when operating on 20 cores. The subsequent steps, such as preprocessing and clone searches, can also demand hundreds of hours. Note that we have gathered 2 TB of disassembled files throughout accumulating this data. To tackle these time and space constraints, we have ensured that precomputed data are available within this artifact at multiple workflow phases. This enables a quick transition from reproducing one workflow phase to another. However, we could not include all disassembled files, so we mainly focused on the last phases, such as a clone search.Experiments presented in this artifact were carried out using the Grid'5000 testbed, supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations (see https://www.grid5000.fr)