A Study of Malware Prevention in Linux Distributions
Duc-Ly Vu, Trevor Dunlap, Karla Obermeier-Velazquez, Thanh-Cong Nguyen, Paul Gibert, John Speed Meyers, Santiago Torres-Arias

TL;DR
This paper investigates malware prevention measures in Linux distributions, evaluates open-source malware detection tools using a new benchmark dataset, and finds current tools are inadequate with high false positives and low detection rates.
Contribution
It introduces a Linux package malware benchmark dataset and assesses the effectiveness of existing open-source malware scanners, highlighting their limitations.
Findings
Most distributions focus on reproducible builds for security.
Only Wolfi OS actively scans for malware.
Existing tools have high false positives and low true positive rates.
Abstract
Malicious attacks on open-source software packages are a growing concern. The discovery of the XZ Utils backdoor intensified these concerns because of the potential widespread impact. This study, therefore, explores the challenges of preventing and detecting malware in Linux distribution package repositories. To do so, we ask two research questions: (1) What measures have Linux distributions implemented to counter malware, and how have maintainers experienced these efforts? (2) How effective are current malware detection tools in identifying malicious Linux packages? To answer these questions, we conduct interviews with maintainers at several major Linux distributions and introduce a Linux package malware benchmark dataset. Using this dataset, we evaluate the performance of six open-source malware detection scanners. Distribution maintainers, according to the interviews, have mostly…
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Taxonomy
TopicsAdvanced Malware Detection Techniques · Network Security and Intrusion Detection · Digital and Cyber Forensics
