Výsledky vyhledávání - "Vulnerable JavaScript"

Vulnerable JavaScript functions detection using stacking of convolutional neural networks

Autoři: Abdullah Sheneamer

Zdroj: PeerJ Computer Science, Vol 10, p e1838 (2024)

Témata: Vulnerable Javascript functions detection, Code security, Security of web applications, JavaScript engine vulnerability, Cross-site scripting detection, Stacking convolutional neural networks (CNNs), Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://peerj.com/articles/cs-1838.pdf; https://peerj.com/articles/cs-1838/; https://doaj.org/toc/2376-5992

Přístupová URL adresa: https://doaj.org/article/79d988f5828444de9300ba102e28bb1b

Studying JavaScript Security Through Static Analysis

Autoři: Fass, Aurore Backes, Michael

Přispěvatelé: Fass, Aurore Backes, Michael

Témata: ddc:004, JavaScript, Malicious JavaScript, Browser Extensions, Computersicherheit, Statische Analyse, Static Analysis, Data Flow, Control Flow, Machine Learning, Web Security, Vulnerable JavaScript, AST, Adversarial Attacks