High

People-search: bulk export, hidden fields, unauthenticated notify

Sector
Consumer people-search / directory
Test type
Public research against a national-scale directory
Severity
High as a chain
Year
2026

No authentication on a pipeline of four calls.

  1. A street query returned move history for about twenty years: apartment numbers, move-in and move-out, an active flag. One request, on the order of ten thousand rows.
  2. A GraphQL filter by postal code, not exposed in the product UI, returned every registered person in that code. Alias batching multiplied it in one HTTP call.
  3. The person page's server render included the phone number, exact coordinates, and household fields, including birthdates the UI masks.
  4. A public reminder endpoint returned created for any person id plus a phone number. No rate limit. The message is an SMS or an app notification.

What we proved

An unauthenticated caller can pick a street or a postal code, enrich to a current phone and a point, and send that person a message. About two requests per person. The directory covers a national population, on the order of ten million residents.

What this is not

People-search products publish some of this by design. The report is not "the directory exists." It is bulk export with no auth, a selector the UI never shows, fields in the HTML that the page pretends to hide, and a notify call that turns the dataset into contact.

Why a scanner misses it

Each piece looks like a public API. The risk is the chain. The masked-versus-rendered check is a read of the HTML, not a CVE.

Buyer takeaway: If the frontend hides a field behind a click, assume the HTML already has it. A reminder endpoint is a messaging channel. Put a session and a rate limit on it.

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