On the Correctness of Metadata-Based SBOM Generation: A Differential Analysis Approach
Sheng Yu, Wei Song, Xunchao Hu, Heng Yin
Abstract
Amidst rising concerns of software supply chain attacks, the Software Bill of Materials (SBOM) has emerged as a pivotal tool, offering a detailed listing of software components to manage vulnerabilities, dependencies, and licensing. While many SBOM generation tools are extensively used in both commercial and open-source realms, the correctness of these tools remains largely unscrutinized. To date, there has not been a systematic study addressing the correctness of contemporary SBOM generation solutions. In this paper, we conduct a large-scale differential analysis of the correctness of four popular SBOM generators. Surprisingly, our evaluation reveals all four SBOM generators exhibit inconsistent SBOMs and dependency omissions, leading to incomplete and potentially inaccurate SBOMs. Moreover, we construct a parser confusion attack against these tools, introducing a new attack vector to conceal malicious, vulnerable, or illegal packages within the software supply chain. Drawing from our analysis, we propose best practices for SBOM generation and introduce a benchmark to steer the development of more robust SBOM generators.