Genesis of Cyber Threats: Towards Malware-based Advanced Persistent Threat (APT) Attribution

Advanced Persistent Threat (APT) attribution is a critical task and essential for defensive measure, guiding policy decision, and improving cyber resilience. This research aims to establish a credible connection between APT attack-related malware and the threat groups most likely to be their originators. These malware are usually developed by threat actors who meticulously orchestrate techniques to achieve their objectives. Analyzing these tailored malwares reveals the threat group’s strategic intent, preferred attack vectors, and modus operandi, providing clues about the responsible threat groups. In this study, we conduct experiments to analyze operational behaviours captured from malicious samples, uncovering unique patterns that align with the attack methods of various persistent threat groups. The captured operational behaviours include the modus operandi, in terms of the MITRE ATT&CK framework’s TTP (Tactics, Techniques, and Procedures) and linker timestamp. Among the experiments conducted, the presented method achieves the highest precision of 80.84% in linking a given sample to its corresponding threat group. This presented method demonstrates the feasibility of uncovering associated threat groups from malicious binaries.

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Publication Details

Published
2024-10-28
DOI
https://doi.org/10.1109/tps-isa62245.2024.00052
Citations
3
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
1.05

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article

Genesis of Cyber Threats: Towards Malware-based Advanced Persistent Threat (APT) Attribution

Nanda Rani, Sandeep Kumar Shukla, Bikash Saha, Ravi Kumar
3 citations
Advanced Malware Detection Techniques
1.05
article

Genesis of Cyber Threats: Towards Malware-based Advanced Persistent Threat (APT) Attribution

Nanda Rani, Sandeep Kumar Shukla, Bikash Saha, Ravi Kumar
article en
3 citations

Abstract

Advanced Persistent Threat (APT) attribution is a critical task and essential for defensive measure, guiding policy decision, and improving cyber resilience. This research aims to establish a credible connection between APT attack-related malware and the threat groups most likely to be their originators. These malware are usually developed by threat actors who meticulously orchestrate techniques to achieve their objectives. Analyzing these tailored malwares reveals the threat group’s strategic intent, preferred attack vectors, and modus operandi, providing clues about the responsible threat groups. In this study, we conduct experiments to analyze operational behaviours captured from malicious samples, uncovering unique patterns that align with the attack methods of various persistent threat groups. The captured operational behaviours include the modus operandi, in terms of the MITRE ATT&CK framework’s TTP (Tactics, Techniques, and Procedures) and linker timestamp. Among the experiments conducted, the presented method achieves the highest precision of 80.84% in linking a given sample to its corresponding threat group. This presented method demonstrates the feasibility of uncovering associated threat groups from malicious binaries.

Indian Institute of Technology Kanpur (IN)
Ministry of Education
Openalex Percentile: Top 21%
Advanced Malware Detection Techniques
1.05
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