Search Victim-Owned Websites
Adversaries look through a company's own website to find clues about how they operate. Think of it like a burglar checking a store's public brochure or 'About Us' page to learn who works there, where the office is, and what kind of high-tech security systems they use before planning a break-in.
Adversaries perform reconnaissance by scraping or manually reviewing victim-owned websites to identify organizational structure, key personnel, and operational details. This process specifically targets technical documentation or product descriptions related to the victim's AI infrastructure, which can be leveraged to refine the scope and methodology of subsequent adversarial AI attacks.
Adversaries conduct reconnaissance by systematically analyzing victim-owned web assets to aggregate actionable intelligence for targeting. This includes the extraction of organizational metadata, personnel information, and technical specifications regarding AI-enabled products or services. Such data serves as a foundational input for tailoring adversarial AI techniques, such as model poisoning or evasion, and facilitates further reconnaissance by identifying specific technical dependencies or vulnerabilities within the victim's AI ecosystem.