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A Landscape Study of Open Source and Proprietary Tools for Software Bill of Materials (SBOM)

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arxiv 2402.11151 v1 pith:HETFDC6R submitted 2024-02-17 cs.SE

classification cs.SE
keywords softwaresbomchaincomponentssupplytoolsanalysisbill
verification ladder T0 review T1 audit T2 compute T3 formal
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Modern software applications heavily rely on diverse third-party components, libraries, and frameworks sourced from various vendors and open source repositories, presenting a complex challenge for securing the software supply chain. To address this complexity, the adoption of a Software Bill of Materials (SBOM) has emerged as a promising solution, offering a centralized repository that inventories all third-party components and dependencies used in an application. Recent supply chain breaches, exemplified by the SolarWinds attack, underscore the urgent need to enhance software security and mitigate vulnerability risks, with SBOMs playing a pivotal role in this endeavor by revealing potential vulnerabilities, outdated components, and unsupported elements. This research paper conducts an extensive empirical analysis to assess the current landscape of open-source and proprietary tools related to SBOM. We investigate emerging use cases in software supply chain security and identify gaps in SBOM technologies. Our analysis encompasses 84 tools, providing a snapshot of the current market and highlighting areas for improvement.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 5 citations worldwide. Full citation record

  1. Policy-driven Software Bill of Materials on GitHub: An Empirical Study

    cs.SE 2025-09 conditional novelty 6.0 of 10

    Only 0.56% of popular GitHub repositories contain policy-driven SBOMs, and the dependencies they list include 2,202 unique known vulnerabilities with 22% of SBOMs lacking license information.

  2. VDGraph: A Graph-Theoretic Approach to Unlock Insights from SBOM and SCA Data

    cs.SE 2025-07 conditional novelty 6.0 of 10

    VDGraph integrates SBOM and SCA data into a queryable graph and shows, on 21 Java projects, that vulnerabilities concentrate in deeply nested transitive dependencies reachable through many paths.

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