Characterizing tactics, techniques, and procedures in the macOS threat landscape

As macOS systems increasingly become malware targets, understanding the tactics, techniques, and procedures (TTPs) used by adversaries is essential to improving defense strategies. This paper provides a systematic and detailed analysis of macOS malware using the MITRE ATT&CK framework, focusing on TTPs at key stages of the malware attack cycle. Leveraging a comprehensive dataset of 57,636 macOS malware samples collected between November 2006 and October 2024, we employ both static and dynamic analysis techniques to uncover patterns in adversary behavior. Our analysis, primarily based on static analysis techniques, offers a broad representation of macOS malware and highlights common characteristics across samples. While we only partially explore dynamic behaviors, we identify recurring patterns that align with specific TTPs in the MITRE ATT&CK framework, such as persistence and defense evasion. This mapping contributes to a more structured understanding of macOS threats and can help inform future detection and mitigation efforts.

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Publication Details

Journal
Computers & Security
Published
2025-12-14
DOI
https://doi.org/10.1016/j.cose.2025.104806
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Characterizing tactics, techniques, and procedures in the macOS threat landscape

Javier Carrillo-Mondéjar, Ricardo J. Rodríguez, Daniel Lastanao Miró
Computers & Security
Advanced Malware Detection Techniques
article

Characterizing tactics, techniques, and procedures in the macOS threat landscape

Javier Carrillo-Mondéjar, Ricardo J. Rodríguez, Daniel Lastanao Miró
article en

Abstract

As macOS systems increasingly become malware targets, understanding the tactics, techniques, and procedures (TTPs) used by adversaries is essential to improving defense strategies. This paper provides a systematic and detailed analysis of macOS malware using the MITRE ATT&CK framework, focusing on TTPs at key stages of the malware attack cycle. Leveraging a comprehensive dataset of 57,636 macOS malware samples collected between November 2006 and October 2024, we employ both static and dynamic analysis techniques to uncover patterns in adversary behavior. Our analysis, primarily based on static analysis techniques, offers a broad representation of macOS malware and highlights common characteristics across samples. While we only partially explore dynamic behaviors, we identify recurring patterns that align with specific TTPs in the MITRE ATT&CK framework, such as persistence and defense evasion. This mapping contributes to a more structured understanding of macOS threats and can help inform future detection and mitigation efforts.

Computers & SecurityVol. 162
Universidad de Zaragoza (ES)
Openalex Percentile: Top 52%
Advanced Malware Detection Techniques
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Characterizing tactics, techniques, and procedures in the macOS threat landscape — Javier Carrillo-Mondéjar, Ricardo J. Rodríguez, et al. · Computers & Security (2025) | TGRS Research Map | TGRS