A document template attackis the use of authentic-looking document templates, like drivers' licenses, passports, utility bills, or pay stubs, to create convincing forgeries to use for fraudulent identity verification purposes. Often sold on the dark web, these blank or partially completed templates are customizable with stolen or fabricated target information and photos. They are surprisingly sophisticated, and many have replicated security features along with the formatting and design elements of legitimate documents. Defending against document template attacks requires document authentication technology that is capable of detecting subtle inconsistencies, analyzing security features, and identifying the signs of digital manipulation like artifacts that are present with template-based fraud.
Use case/ examples for document template attack
Document authentication: Analyzing submitted identity documents for signs of template-based forgery, including inconsistent fonts, misaligned security features, or other formatting or quality issues that can indicate the use of fraudulent templates.
Security feature verification: Examining document security elements like holograms, microprinting, and UV-reactive features to detect counterfeit documents that were created from templates that lack authentic security characteristics.
Digital manipulation detection: Using AI-powered image analysis to identify artifacts that provide signs of digital editing, compositing, or template use in submitted documents that may appear authentic at first glance to the naked eye.
