IAS Detects Hidden Clicks in Reader Apps Exceeding Normal Rates by 25 Times
IAS has detected hidden clicks in reader apps operating via a hidden browser, with a success rate nearly 25 times that of baseline traffic.
IAS has detected a hidden click network inside reader apps operating through a hidden browser that generates clicks and scrolling without the user's knowledge, according to a report published by PPC Land.
The company stated that the click success rate in this traffic reached approximately 25 times compared to baseline traffic, as part of a scheme named "Genisys" that used nearly 500 AI-generated domains.
It added that the scheme spoofed app bundle IDs in a manner that attributed the traffic to nearly 25 million devices.
The findings emphasized that they are vendor-issued measurements, lack published methodology in places, and have not been independently verified.
What Do These Terms Mean?
IAS: A company specializing in digital ad verification that measures ad viewability and the validity of associated traffic.
Invalid Traffic (IVT): Clicks or impressions originating from automated bots or hidden browsers rather than real users.
Application Bundle ID: A unique code identifying an application on a phone, which can be spoofed to trick ad platforms into believing traffic originates from a known app.
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