Those words appear in documents describing Webloc, an application sold by Penlink that, the documents say, can locate people by drawing on location information generated inside commonly used smartphone apps. The set of apps Penlink cites — weather, gaming, email and religious apps — are ordinary parts of many phones. The company materials reviewed by Bloomberg describe a system that converts that app-derived information into a searchable map of smartphone movements over time.
Penlink’s Webloc: locating smartphones through app data
Penlink’s product, Webloc, is presented in company materials as an investigative tool for law enforcement. According to the documents Bloomberg reviewed, Webloc collects large quantities of location-related data from the smartphone ecosystem and assembles it into a dataset that investigators can query. The documents describe capabilities that go beyond a single snapshot: the system can build a detailed picture of where a smartphone has been over the past 12 months and can update those records on an hourly cadence.
Data sources named: weather, gaming, email and religious apps
The company documents specify the classes of mobile apps Webloc uses as its feed: weather apps, gaming apps, email apps and religious apps. These categories, the materials say, contain sources of location-related signals that Webloc ingests. The documents do not, in the material cited by Bloomberg, provide a longer list of specific app brands; they do, however, emphasize that the signals come from “commonly used” applications across those categories.
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End the scrambleHow law enforcement can query locations and movements
Bloomberg’s review of Penlink’s materials describes an investigative workflow: officers can “zero in on a map” and view all phones present at a particular place and time. The company documents claim the system can show movements on a near-real-time basis and allow investigators to analyze the amassed dataset to identify devices that matched a specified presence pattern. That capacity is framed in the documents as an analytical feature capable of processing the “billions of location data points” Penlink says it can access.
Scale and temporal reach: 12 months, hourly updates, near real-time tracking
The documents describe three discrete temporal features. First, Webloc can construct a historical trace reaching back 12 months for a given smartphone. Second, these traces are not static: the system can refresh its data hourly. Third, the combined effect, according to the company materials, is that investigators can observe movements on a near-real-time basis. Taken together, those three capabilities are the specific elements Penlink highlights as enabling a detailed, time-resolved map of a phone’s locations.
What this means for technologists, policymakers, and the public
- Technologists and security teams: the documents identify particular app categories as the source signals. That fact points to where telemetry and location-bearing metadata may be flowing; teams involved in mobile app design, data handling, or privacy engineering will want to examine how location signals are generated and transmitted within those app categories.
- Policymakers and regulators: the materials show an investigative product that assembles app-derived location traces into a queryable dataset. Regulators and lawmakers responsible for data-access rules and law-enforcement authorities will see in those capabilities a concrete mechanism for locating devices that may warrant attention to oversight, authorization, and disclosure practices.
- The general public and app users: the company documents make clear that signals from ordinary apps — weather, gaming, email and religious apps — can be compiled into month-long movement histories and refreshed hourly. For individual users, the central factual point is that commonplace apps can be sources of location-bearing data that, in the hands of analytic tools, reveal detailed movement patterns.
The company documents Bloomberg reviewed present a clear technical claim: Webloc converts location-related signals from ordinary apps into an investigative map that can reach back 12 months and update hourly, and which the materials say allows law enforcement to analyze “billions of location data points.” Those specifics frame a narrow, concrete question that the documents themselves do not answer: how widely is the tool deployed, and what administrative and legal safeguards accompany its use?
