Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
Ying Zhang, Xiaoyan Zhou, Hui Wen, Wenjia Niu, Jiqiang Liu, Haining, Wang, Qiang Li

TL;DR
This paper introduces GENTTP, a zero-shot method leveraging large language models to automatically extract TTPs from interpreted malware packages, aiding in understanding attack behaviors in OSS supply chain threats.
Contribution
The paper presents GENTTP, a novel zero-shot approach using LLMs for TTP extraction from malware, and demonstrates its effectiveness through large-scale evaluation and analysis.
Findings
Many OSS malicious packages share stable TTPs.
TTPs reflect malware attack characteristics.
Attacker intent is linked to specific TTPs.
Abstract
Nowadays, the open-source software (OSS) ecosystem suffers from security threats of software supply chain (SSC) attacks. Interpreted OSS malware plays a vital role in SSC attacks, as criminals have an arsenal of attack vectors to deceive users into installing malware and executing malicious activities. In this paper, we introduce tactics, techniques, and procedures (TTPs) proposed by MITRE ATT\&CK into the interpreted malware analysis to characterize different phases of an attack lifecycle. Specifically, we propose GENTTP, a zero-shot approach to extracting a TTP of an interpreted malware package. GENTTP leverages large language models (LLMs) to automatically generate a TTP, where the input is a malicious package, and the output is a deceptive tactic and an execution tactic of attack vectors. To validate the effectiveness of GENTTP, we collect two datasets for evaluation: a dataset with…
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Advanced Malware Detection Techniques · Information and Cyber Security
