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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/3398BD41-2621-42BB-87C0-A2B613D46E81 | - |
| Identifier | https://doi.org/10.1145/3460120.3485351 | - |
| Identifier | https://dl.acm.org/doi/10.1145/3460120.3485351 | - |
| Language | en | - |
| Extent | 3 pages | en |
| Title | Demo: detecting third-party library problems with combined program analysis | en |
| Creator | Ntousakis Grigorios | en |
| Creator | Ντουσακης Γρηγοριος | el |
| Creator | Ioannidis Sotirios | en |
| Creator | Ιωαννιδης Σωτηριος | el |
| Creator | Vasilakis Nikos | en |
| Publisher | Association for Computing Machinery (ACM) | en |
| Content Summary | Third-party libraries ease the software development process and thus have become an integral part of modern software engineering. Unfortunately, they are not usually vetted by human developers and thus are often responsible for introducing bugs, vulnerabilities, or attacks to programs that will eventually reach end-users. In this demonstration, we present a combined static and dynamic program analysis for inferring and enforcing third-party library permissions in server-side JavaScript. This analysis is centered around a RWX permission system across library boundaries. We demonstrate that our tools can detect zero-day vulnerabilities injected into popular libraries and often missed by state-of-the-art tools such as snyk test and npm audit. | en |
| Type of Item | Conference Demonstration | en |
| Type of Item | Επίδειξη σε Συνέδριο | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2023-06-01 | - |
| Date of Publication | 2021 | - |
| Subject | Dynamic program analysis | en |
| Subject | Static program analysis | en |
| Bibliographic Citation | G. Ntousakis, S. Ioannidis and N. Vasilakis, “Demo: detecting third-party library problems with combined program analysis,” in Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS 2021), virtual event, 2021, pp. 2429–2431, doi: 10.1145/3460120.3485351. | en |
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