Towards efficient, multi-language dynamic taint analysis

Author:

Kreindl Jacob1,Bonetta Daniele2,Mössenböck Hanspeter1

Affiliation:

1. JKU Linz, Austria

2. Oracle Labs, USA

Funder

Oracle

Publisher

ACM Press

Reference49 articles.

1. 2019. Graal.js GitHub Repository. https://github.com/graalvm/graaljs . Accessed: 2019-07-12.

2. 2019. GraalVM Language Runtimes. https://www.graalvm.org/docs/ reference-manual/ . Accessed: 2019-07-12.

3. 2019. LLVM Data-Flow Sanitizer. https://clang.llvm.org/docs/ DataFlowSanitizer.html . Accessed: 2019-09-01.

4. 2019. Node.js. http://www.nodejs.org/ . Accessed: 2019-07-06.

5. 2019. Node.js API Documentation. https://nodejs.org/docs/latest/api/ . Accessed: 2019-08-30.

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1. NodeMedic: End-to-End Analysis of Node.js Vulnerabilities with Provenance Graphs;2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P);2023-07

2. TaintSQL: Dynamically Tracking Fine-Grained Implicit Flows for SQL Statements;2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE);2022-10

3. S EADS;ACM Transactions on Software Engineering and Methodology;2021-01-31

4. A Meta-level Approach for Multilingual Taint Analysis;Proceedings of the 16th International Conference on Software Technologies;2021

5. On Combining Static, Dynamic and Interactive Analysis Security Testing Tools to Improve OWASP Top Ten Security Vulnerability Detection in Web Applications;Applied Sciences;2020-12-20

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