AAMVA-PDF417-Vulnerability-Research

PDF417 ID Validation Vulnerability Research Overview This repository contains comprehensive security research documenting critical vulnerabilities in AAMVA-standard PDF417 barcode validation systems affecting government IDs, enterprise solutions, and consumer applications. The research includes a...

FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking

Identity document ID authentication relies on the structural integrity of complex, high-frequency security patterns. However, advanced Generative AI models can now inject localized, high-fidelity manipulations, creating deceptive attacks that bypass standard verification. Training robust image...

Highly Sensitive Medical Cannabis Patient Data Exposed by Unsecured Database

Nearly a million records, which appear to be linked to a medical-cannabis-card company in Ohio, included Social Security numbers, government IDs, health conditions, and more...