Skip to content
Carlos Philips
← Projects

SBOM Attack-Chain Prediction

2025

Predicting attack chains from software bills of materials.

A research project exploring how software bills of materials can be used to predict attack chains. Analyzes dependency graphs and known vulnerability data to surface exploitable paths before they are hit. Written in Python.

Stack

PythonSecurity Research