Yue Xiao (IBM Research), Dhilung Kirat (IBM Research), Douglas Lee Schales (IBM Research), Jiyong Jang (IBM Research), Luyi Xing (Indiana University Bloomington), Xiaojing Liao (Indiana University)

Abstract—A Software Bill of Materials (SBOM) is a detailed inventory that lists the dependencies that make up a software product. Accurate, complete, and up-to-date SBOMs are essential for vulnerability management, reducing license compliance risks, and maintaining high software integrity. The US National Institute of Standards and Technology (NTIA) has established minimum requirements for SBOMs to comply with, especially the correctness and completeness of listed dependencies in SBOMs. However, these requirements remain unexamined in practice. This paper presents the first systematic study on the landscape of SBOMs, including their prevalence, release trends, and characteristics in the Java ecosystem. We developed an end-to-end tool to evaluate the completeness and accuracy of dependencies in SBOMs. Our tool analyzed 25,882 SBOMs and associated JAR files, identifying that 7,907 SBOMs failed to disclose direct dependencies, highlighting the prevalence and severity of SBOM noncompliance issues. Furthermore, 4.97% of these omitted dependencies were vulnerable, leaving software susceptible to potential exploits. Through detailed measurement studies and analysis of root causes, this research uncovers significant security implications of non-compliant SBOMs, especially concerning vulnerability management. These findings, crucial for enhancing SBOM compliance assurance, are being responsibly reported to relevant stakeholders.

View More Papers

Transparency or Information Overload? Evaluating Users’ Comprehension and Perceptions...

Xiaoyuan Wu (Carnegie Mellon University), Lydia Hu (Carnegie Mellon University), Eric Zeng (Carnegie Mellon University), Hana Habib (Carnegie Mellon University), Lujo Bauer (Carnegie Mellon University)

Read More

MOBIDOJO: A Virtual Security Combat Platform for 5G Cellular...

Hyunwoo Lee (Ohio State University), Haohuang Wen (Ohio State University), Phillip Porras (SRI), Vinod Yegneswaran (SRI), Ashish Gehani (SRI), Prakhar Sharma (SRI), Zhiqiang Lin (Ohio State University)

Read More

LeakLess: Selective Data Protection against Memory Leakage Attacks for...

Maryam Rostamipoor (Stony Brook University), Seyedhamed Ghavamnia (University of Connecticut), Michalis Polychronakis (Stony Brook University)

Read More

Sheep's Clothing, Wolf's Data: Detecting Server-Induced Client Vulnerabilities in...

Fangming Gu (Institute of Information Engineering, Chinese Academy of Sciences), Qingli Guo (Institute of Information Engineering, Chinese Academy of Sciences), Jie Lu (Institute of Computing Technology, Chinese Academy of Sciences), Qinghe Xie (Institute of Information Engineering, Chinese Academy of Sciences), Beibei Zhao (Institute of Information Engineering, Chinese Academy of Sciences), Kangjie Lu (University of Minnesota),…

Read More