SBOM Generation Tools in the Python Ecosystem: an In-Detail Analysis

Software Bills of Material (SBOMs), which improve transparency by listing the components constituting software, are a key countermeasure to the mounting problem of Software Supply Chain attacks. SBOM generation tools take project source files and provide an SBOM as output, interacting with the software ecosystem. While SBOMs are a substantial improvement for security practitioners, providing a complete and correct SBOM is still an open problem. This paper investigates the causes of the issues affecting SBOM completeness and correctness, focusing on the PyPI ecosystem. We analyze four popular SBOM generation tools using the CycloneDX standard. Our analysis highlights issues related to dependency versions, metadata files, remote dependencies, and optional dependencies. Additionally, we identified a systematic issue with the lack of standards for metadata in the PyPI ecosystem. This includes inconsistencies in the presence of metadata files as well as variations in how their content is formatted.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/trustcom63139.2024.00077
Citations
4
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
4.20
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article

SBOM Generation Tools in the Python Ecosystem: an In-Detail Analysis

Matteo Dell’Amico, Serena Cofano, Giacomo Benedetti
4 citations
Scientific Computing and Data Management
4.20
article

SBOM Generation Tools in the Python Ecosystem: an In-Detail Analysis

Matteo Dell’Amico, Serena Cofano, Giacomo Benedetti
article en
4 citations

Abstract

Software Bills of Material (SBOMs), which improve transparency by listing the components constituting software, are a key countermeasure to the mounting problem of Software Supply Chain attacks. SBOM generation tools take project source files and provide an SBOM as output, interacting with the software ecosystem. While SBOMs are a substantial improvement for security practitioners, providing a complete and correct SBOM is still an open problem. This paper investigates the causes of the issues affecting SBOM completeness and correctness, focusing on the PyPI ecosystem. We analyze four popular SBOM generation tools using the CycloneDX standard. Our analysis highlights issues related to dependency versions, metadata files, remote dependencies, and optional dependencies. Additionally, we identified a systematic issue with the lack of standards for metadata in the PyPI ecosystem. This includes inconsistencies in the presence of metadata files as well as variations in how their content is formatted.

University of Genoa (IT)
Life in Land
Openalex Percentile: Top 5%
Scientific Computing and Data Management
4.20
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