Elia Innocenti
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eBPF CVE Analysis

A reproducible workflow for finding and classifying eBPF vulnerabilities across the CVE ecosystem.

Role
Research and engineering
Focus
Vulnerability intelligence · Data pipeline design · Linux kernel security

The problem

eBPF is a powerful Linux kernel capability, but finding the vulnerabilities that genuinely concern it can be difficult in a broad, inconsistently labelled CVE corpus.

Contribution

I built a Python pipeline to identify and classify eBPF-related vulnerabilities across more than 253,000 CVE records. The work combines structured filtering with hands-on proof-of-concept analysis, turning a large public dataset into a tractable security-research workflow.

Why it matters

The project makes the relationship between vulnerability records and a specific kernel attack surface easier to inspect, reproduce, and extend.