New arXiv Research Paper
arXiv ID: 2608.27994
Title: Moirae: A Multimodal Agent Collaborative Framework for Dynamic Android Malware Detection
Authors: Xueying Zeng, Youquan Xian, Yanze Li, bowen hu, Ziqi Shan, Xu Luo, DanPing Yang, Peng Liu, Lei Cui, Bo Li
Published: 2026-08-28T07:03:38Z
URL: https://arxiv.org/abs/2608.27994
Abstract (first 300 chars)
The Android ecosystem faces persistent and rapidly evolving malware threats. Existing machine learning detectors are vulnerable to concept drift because they rely on implementation-specific features whose distributions change over time. Large language models (LLMs) offer strong semantic understandin…
Suggested OWASP Mapping
ASI01, ASI02
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.
New arXiv Research Paper
arXiv ID: 2608.27994
Title: Moirae: A Multimodal Agent Collaborative Framework for Dynamic Android Malware Detection
Authors: Xueying Zeng, Youquan Xian, Yanze Li, bowen hu, Ziqi Shan, Xu Luo, DanPing Yang, Peng Liu, Lei Cui, Bo Li
Published: 2026-08-28T07:03:38Z
URL: https://arxiv.org/abs/2608.27994
Abstract (first 300 chars)
Suggested OWASP Mapping
ASI01, ASI02
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.