Automated deobfuscation and family classification system for Excel 4.0 macros
In recent years, a surge has been witnessed in cyber-attacks that leverage malicious Excel 4.0 macros (XLM) within documents. Malicious XLM codes often undergo complex obfuscation, posing a substantial challenge for conventional analysis methods and detection systems to discern the actual functional...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2024-06-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/issn.2096-109x.2024040 |
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