Year: 2025
Type: conference-paper
Abstract: Modern web applications integrate JavaScript code with more efficient languages compiling to WebAssembly, such as C, C++ or Rust. However, such multi-language applications challenge program understanding and increase the risk of security attacks. Dynamic taint analysis is a powerful technique used to uncover confidentiality and integrity vulnerabilities. The state of the art has mainly considered taint analysis targeting a single programming language, extended with a limited set of native extensions. To deal with data flows between the language and native extensions, typically taint signatures or models of those extensions have been derived from the extensions’ high-level source code. However, this does not scale for multi-language web applications as the WebAssembly modules evolve continuously and generally do not include their high-level source code.
Institution: Vrije Universiteit Brussel
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4415002672