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Why Integrating OTPless Secure

OTPless Secure provides an extensive set of data points and security insights to enhance user authentication.

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1. Device Information

Merchants are provided with comprehensive device-level details, allowing them to verify device authenticity and security:

• IP Address: Captures the user’s IP address for geo-location and security analysis.
• Browser Details: Information about the browser in use, including the user-agent string, platform, and version.
• IP Info: Additional geolocation data associated with the IP, helping merchants identify risky or flagged regions.
• Device Details: Detailed specifications like operating system, screen resolution, and device model to identify legitimate or risky devices.

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2. Security and Trust Signals

OTPless Secure generates various risk scores and indicators that help merchants assess the trustworthiness of a user session:

• Suspect Score: A risk score generated based on anomalies detected in the user’s device environment, including:
• Bot Detection: Identifies automated or non-human behavior.
• Incognito Detection: Flags users browsing in incognito or private mode.
• VPN Detection: Detects the use of a VPN to obscure location.
• Virtual Machine Detection: Identifies whether the device is operating within a virtual machine, often used for fraud.
• Developer Tools Detection: Monitors if developer tools are active, which can indicate an attempt to manipulate the session.
• Confidence Score: Reflects the likelihood of the same user interacting across sessions, utilizing the securetraceID—a persistent visitor ID that tracks users on the same device.
• IP Blocklist: Alerts if the user’s IP address is listed on a known blacklist, suggesting repeated fraudulent behavior or compromised security.

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3. Activity and Behavior

OTPless Secure provides insights into user behavior and patterns, identifying suspicious or inconsistent activities:

• SIM Ejections: Detects whether the SIM card has been removed or swapped during the session, which can indicate tampering.
• Velocity Checks: OTPless Secure tracks securetraceID across multiple data points to monitor behavior velocity, linking:
  • Unique IP addresses.
  • Unique countries associated with the session.
  • Linked user identities at distinct time intervals, to identify rapid or abnormal activity changes.
• Visit Trace: Tracks user navigation behavior to detect irregularities.
• SecuretraceID: A persistent identifier that tracks the same user across multiple sessions on a single device, adding an extra layer of verification.

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4. Fraud Detection

Advanced fraud detection mechanisms continuously monitor for signs of tampering, manipulation, or malicious behavior:

• Emulator Detection: Detects if the app is being run on an emulator, which is commonly used for fraudulent purposes.
• Tamper Detection: Identifies any attempts to tamper with the device’s browser or application software.
• Cloned App Detection: Identifies when a cloned version of the application is being used.
• Factory Reset Detection: Flags devices that have recently undergone a factory reset, which can be a tactic to bypass security.
• Frida Detection: Detects the use of the Frida tool, which is often employed for reverse-engineering applications.
• VPN Detection: Identifies the use of a VPN, which can obscure a user’s real location.
• Jailbroken Device Detection: Flags devices that have been jailbroken or rooted, making them more vulnerable to exploits.
• Location Spoofing: Detects attempts to falsify or manipulate the device’s location.
• Developer Tools and Privacy Settings: Identifies if developer tools are being used to manipulate app behavior or bypass privacy protections.
• Bot Detection: Confirms if the session is being controlled by a bot or other automated processes.

By integrating OTPless Secure, merchants gain access to a powerful suite of data and detection tools that significantly enhance the security of their authentication processes. These insights—ranging from device information to real-time fraud detection—allow businesses to better protect themselves and their users from potential security threats, making their authentication more robust.