Invoke-Deobfuscation: AST-Based and Semantics-Preserving Deobfuscation for PowerShell Scripts
Author:
Affiliation:
1. Chinese Academy of Sciences,Institute of Information Engineering
2. QI-ANXIN Technology Research Institute
3. Tsinghua University,BNRist & Institute for Network Science and Cyberspace
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9833551/9833474/09833705.pdf?arnumber=9833705
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1. Function-Level Code Obfuscation Detection Through Self-Attention-Guided Multi-Representation Fusion;International Journal of Software Engineering and Knowledge Engineering;2023-12-11
2. TransAST: A Machine Translation-Based Approach for Obfuscated Malicious JavaScript Detection;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2023-06
3. PowerDP: De-Obfuscating and Profiling Malicious PowerShell Commands With Multi-Label Classifiers;IEEE Access;2023
4. SIFAST: An Efficient Unix Shell Embedding Framework for Malicious Detection;Lecture Notes in Computer Science;2023
5. AST2Vec: A Robust Neural Code Representation for Malicious PowerShell Detection;Science of Cyber Security;2023
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