The iOS ecosystem is often seen as more secure compared to its competitors, yet it still requires robust fraud prevention measures. Apple provides several native frameworks, like DeviceCheck and DCAppAttestService, to enhance application security, though these tools often necessitate user involvement and are limited by their dependency on network communication with Apple's servers. The text discusses the challenges and limitations of using these APIs for device identification and highlights an alternative approach using local device fingerprinting, which combines various signals to create a stable and unique identifier without requiring user consent. An open-source library, Fingerprint for iOS, leverages this methodology by utilizing Vendor Identifier and Keychain Storage to generate a reliable device fingerprint, which improves stability across app reinstalls. This library is designed to operate without additional permissions or third-party data sharing, making it suitable for iOS App Store applications. The document also introduces a more advanced commercial version, Fingerprint Pro, which enhances the stability and reliability of device identification through additional signals and backend integration.