MOD2SAD: enhancing malicious office document detection through semantic-aware deobfuscation

Tao Leng, Tujin Liao, Bin Yuan

Open source

DOI: 10.1038/s41598-026-60598-4
Published: 2026-07-08
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-60598-4,
  title = {MOD2SAD: enhancing malicious office document detection through semantic-aware deobfuscation},
  author = {Tao Leng and Tujin Liao and Bin Yuan},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-60598-4},
  url = {https://doi.org/10.1038/s41598-026-60598-4}
}

RIS

TY  - JOUR
TI  - MOD2SAD: enhancing malicious office document detection through semantic-aware deobfuscation
AU  - Tao Leng
AU  - Tujin Liao
AU  - Bin Yuan
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-60598-4
UR  - https://doi.org/10.1038/s41598-026-60598-4
ER  -

APA

Leng, T., Liao, T., & Yuan, B. (2026). MOD2SAD: enhancing malicious office document detection through semantic-aware deobfuscation. Scientific Reports. https://doi.org/10.1038/s41598-026-60598-4

Source records

crossref · retrieved 2026-09-25T17:28:18.858Z