Closing the gaps attackers hide in: new signals for mobile and web

Fingerprint has introduced several fraud-detection signals for web and mobile designed to identify social engineering, automated abuse, and suspicious device activity. Active Call Detection identifies whether a cellular or VoIP call is occurring during sensitive actions such as password resets or transfers, helping organizations recognize possible phone-based scams without collecting call details or requiring additional permissions. Browser classification now distinguishes genuine Chrome from other Chromium-based browsers, reducing opportunities for bots to impersonate Chrome and improving risk-model data. Developer Tools Detection has expanded to mobile, checking indicators such as developer mode, debugging, development signing, and Xcode execution that may suggest reverse engineering or automation. Proximity Detection is now available for web browsers, using permission-based location data to create coarse, non-identifiable zone identifiers that can expose device farms, multi-accounting, or identity resets occurring without meaningful physical movement. Availability, plan eligibility, and SDK or JavaScript Agent version requirements vary by signal.

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