Nerdy Data

Nerdy Data (nerdydata.com) is a source code search engine that allows investigators to search across indexed website source code for specific code strings, tracking IDs, JavaScript frameworks, or other technical elements. Similar to Public WWW, it enables finding websites that share common code signatures.

For OSINT investigators, source code search enables infrastructure attribution through shared code patterns. When an investigator identifies a unique code element on a target website — a specific Google Analytics ID, a custom tracking pixel, a unique JavaScript library reference, or a distinctive code pattern — searching Nerdy Data for that element reveals all other websites in the index that share the same code.

Tracking ID attribution through source code search is the most powerful investigative application. A Google Analytics UA number, Facebook Pixel ID, or advertising network publisher ID that is unique to one operator connects all websites using that identifier to the same entity. Source code search efficiently surfaces this entire network.

Infrastructure clustering identifies when multiple websites are built with the same code — potentially by the same developer, using the same template, or operated as a coordinated network. Shared infrastructure elements that are not tracking IDs may still indicate common ownership or operation.

Phishing kit identification through distinctive code patterns helps investigators identify all phishing sites created from the same phishing kit — campaign-wide attribution rather than individual site analysis.

For brand impersonation investigations, searching for code elements (like a brand's analytics ID) reveals if counterfeit sites have copied actual brand code — providing an attribution link between the impersonator and the original site's code.

Nerdy Data's coverage is dependent on its web crawling depth and frequency. Recently deployed sites may not yet be indexed, and the index represents a specific point-in-time snapshot of each page's code.

Document source code patterns searched, websites found sharing the pattern, and any attribution conclusions with query timestamps.