Forecasting the risk of software choices: A model to foretell security vulnerabilities from library dependencies and source code evolution

• URL: http://arxiv.org/abs/2411.11202v1
• Date: Sun, 17 Nov 2024 23:36:27 GMT
• Title: Forecasting the risk of software choices: A model to foretell security vulnerabilities from library dependencies and source code evolution
• Authors: Carlos E. Budde, Ranindya Paramitha, Fabio Massacci,
• Abstract summary: We introduce a model capable of vulnerability forecasting at library level. Our model can estimate the probability that a software project faces a CVE disclosure in a future time window.
• Score: 4.538870924201896
• License:
• Abstract: Software security mainly studies vulnerability detection: is my code vulnerable today? This hinders risk estimation, so new approaches are emerging to forecast the occurrence of future vulnerabilities. While useful, these approaches are coarse-grained and hard to employ for project-specific technical decisions. We introduce a model capable of vulnerability forecasting at library level. Formalising source-code evolution in time together with library dependency, our model can estimate the probability that a software project faces a CVE disclosure in a future time window. Our approach is white-box and lightweight, which we demonstrate via experiments involving 1255 CVEs and 768 Java libraries, made public as an open-source artifact. Besides probabilities estimation, e.g. to plan software updates, this formal model can be used to detect security-sensitive points in a project, or measure the health of a development ecosystem.

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