Detecting and Characterizing Low and No Functionality Packages in the NPM Ecosystem

TL;DR

This work addresses security and maintenance risks posed by trivial and data-only npm packages, which can escalate dependency chains and propagate vulnerabilities. It defines data-only libraries and develops a rule-based static analysis method to detect both trivial and data-only packages, then empirically studies their prevalence and risks in the 2025 npm ecosystem. Using a dataset of 3,220 packages, the study finds that 17.92% are trivial and 1.24% are data-only, with vulnerability levels similar to larger packages; a detector achieves about 94% accuracy, enabling scalable large-scale analysis. The findings inform dependency management by highlighting underappreciated risk from logic-free packages and provide a practical tool for ongoing ecosystem screening and risk mitigation.

Abstract

Trivial packages, small modules with low functionality, are common in the npm ecosystem and can pose security risks despite their simplicity. This paper refines existing definitions and introduce data-only packages that contain no executable logic. A rule-based static analysis method is developed to detect trivial and data-only packages and evaluate their prevalence and associated risks in the 2025 npm ecosystem. The analysis shows that 17.92% of packages are trivial, with vulnerability levels comparable to non-trivial ones, and data-only packages, though rare, also contain risks. The proposed detection tool achieves 94% accuracy (macro-F1 0.87), enabling effective large-scale analysis to reduce security exposure. This findings suggest that trivial and data-only packages warrant greater attention in dependency management to reduce potential technical debt and security exposure.

Figures (2)

• Figure 1: Trivial vs. non-trivial vulnerability distribution (a) and percentage (b).
• Figure 2: Example tool UI