Please use this identifier to cite or link to this item: doi:10.22028/D291-47387
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Title: JaSt: Fully Syntactic Detection of Malicious (Obfuscated) JavaScript
Author(s): Fass, Aurore
Krawczyk, Robert P.
Backes, Michael
Stock, Ben
Language: English
Title: Detection of Intrusions and Malware, and Vulnerability Assessment : 15th International Conference, DIMVA 2018, Saclay, France, June 28-29, 2018, Proceedings
Pages: 303-325
Publisher/Platform: Springer Nature
Year of Publication: 2018
DDC notations: 004 Computer science, internet
Publikation type: Conference Paper
DOI of the first publication: 10.1007/978-3-319-93411-2_14
URL of the first publication: https://link.springer.com/chapter/10.1007/978-3-319-93411-2_14
Link to this record: urn:nbn:de:bsz:291--ds-473871
hdl:20.500.11880/41460
http://dx.doi.org/10.22028/D291-47387
ISBN: 978-3-319-93411-2
Date of registration: 30-Mar-2026
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Michael Backes
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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