vulnerability-discovery

Discovering vulnerabilities in firmware through concolic analysis and function clustering.

A project that uses Binary Ninja and GRAKN.AI to perform static analysis on binary files with the goal of identifying bugs in software.

This search engine automates the discovery of sensitive information using customized dorks across GitHub, Google, and Shodan.

This repository contains the source code for our paper "Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery" that was accepted at AISec '23.