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Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages

Published: November 13, 2025 | arXiv ID: 2511.09957v1

By: Duc-Ly Vu , Thanh-Cong Nguyen , Minh-Khanh Vu and more

Potential Business Impact:

Finds hidden bad code in computer programs safely.

Business Areas:
Application Performance Management Data and Analytics, Software

The increasingly sophisticated environment in which attackers operate makes software security an even greater challenge in open-source projects, where malicious packages are prevalent. Static analysis tools, such as Malcontent, are highly useful but are often incapable of dealing with obfuscated malware. Such situations lead to an unreasonably high rate of false positives. This paper highlights that dynamic analysis, rather than static analysis, provides greater insight but is also more resource-intensive for understanding software behaviour during execution. In this study, we enhance a dynamic analysis tool, package-analysis, to capture key runtime behaviours, including commands executed, files accessed, and network communications. This modification enables the use of container sandboxing technologies, such as gVisor, to analyse potentially malicious packages without significantly compromising the host system.

Country of Origin
🇬🇧 United Kingdom

Page Count
4 pages

Category
Computer Science:
Cryptography and Security