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FAST

FAST (Fast Abstract interpretation for Scalability) is a static analysis tool for JavaScript using abstract interpretation.

Our paper: Mingqing Kang, Yichao Xu, Song Li, Rigel Gjomemo, Jianwei Hou, V.N. Venkatakrishnan, and Yinzhi Cao, Scaling JavaScript Abstract Interpretation to Detect and Exploit Node.js Taint-style Vulnerability, to appear in the Proceedings of the IEEE Symposium on Security and Privacy (Oakland), 2023.

See the wiki for documentation.


FAST, Fast Abstract interpretation for Scalability
Copyright (C) 2022-2024 Johns Hopkins University

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.

fast's People

Contributors

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