mlsanityData to 14 Oct 2026

Decoding Dependency Risks: A Quantitative Study of Vulnerabilities in the Maven Ecosystem

arXiv 2503.22134 ↗First posted 28 Mar 2025cs.SEcited by 1

Not on the map. Why?

Abstract (arXiv)

This study investigates vulnerabilities within the Maven ecosystem by analyzing a comprehensive dataset of 14,459,139 releases. Our analysis reveals the most critical weaknesses that pose significant threats to developers and their projects as they look to streamline their development tasks through code reuse. We show risky weaknesses, those unique to Maven, and emphasize those becoming increasingly dangerous over time. Furthermore, we reveal how vulnerabilities subtly propagate, impacting 31.39% of the 635,003 latest releases through direct dependencies and 62.89% through transitive dependencies. Our findings suggest that improper handling of input and mismanagement of resources pose the most risk. Additionally, Insufficient session-ID length in J2EE configuration and no throttling while allocating resources uniquely threaten the Maven ecosystem. We also find that weaknesses related to improper authentication and managing sensitive data without encryption have quickly gained prominence in recent years. These findings emphasize the need for proactive strategies to mitigate security risks in the Maven ecosystem.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 28 Mar 2025.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.