Browser Fingerprint Order Checks for Spoofing-Resistant Login
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Solution Overview
Problem
Malicious actors employ browser spoofing to impersonate legitimate users by presenting harvested web browser information, bypassing fraud detection systems, leading to potential damage and costs for both users and companies.
Innovation Solution
An authentication system that analyzes the order of HTTP headers and navigator object properties from a user's browser to detect potential browser spoofing, requiring additional fraud prevention measures such as multi-factor authentication when discrepancies are found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If browser spoofing is performed by presenting harvested web browser parameters, then authentication bypass is achieved, but security is compromised
Solution Approach 1:
The patent segments the browser fingerprint verification into multiple independent components: HTTP header order verification, navigator object property order verification, and additional challenge-response verification. Each component can be independently evaluated to detect spoofing attempts without requiring complete matching of all parameters.
Solution Approach 2:
The system performs preliminary verification of browser parameter orders (HTTP headers and navigator properties) before granting full authentication. By checking the order of these parameters in advance and comparing against stored legitimate user patterns, the system can detect spoofing attempts before they compromise security.
2Measurement precision
If traditional fraud detection algorithms are used, then detection capability is maintained, but browser spoofing can still bypass detection
Solution Approach 1:
The patent adds a new dimension to fraud detection by verifying the order and sequence of browser parameters (HTTP headers and navigator object properties) rather than just comparing static fingerprint values. This temporal/sequential dimension makes spoofing detection more robust as attackers must replicate not only the values but also the precise ordering of multiple parameters.
Solution Approach 2:
The system implements feedback mechanisms where the order verification results from HTTP headers and navigator properties are combined with additional challenge-response verification. This multi-layered feedback approach allows the system to adaptively respond to detected anomalies and maintain detection precision against evolving spoofing techniques.
3Device complexity
If only static browser fingerprint comparison is performed, then implementation simplicity is maintained, but spoofing detection capability is insufficient
Solution Approach 1:
The authentication system is segmented into distinct verification modules: one for HTTP header order analysis, another for navigator object property order analysis, and additional modules for challenge-response verification. This segmentation allows each module to perform a specific function, maintaining implementation simplicity while collectively providing robust spoofing detection through multiple verification layers.
Data Source
AI summary
An authentication system includes an authentication module and a user history database storing order information that includes, for each of multiple logins of the first user to a web property, at least one of: an indication of an order of hypertext transfer protocol (HTTP) headers that were previously received at the authentication module during the login, and an indication of an order of navigator object properties that were previously returned to the authentication module during the login. The authentication module is configured to: receive, from a web browser of a first entity attempting to log in to the web property, credentials of the first user; determine order information of the first entity's web browser; perform a comparison operation based on the order information of the first user and that of the first entity, and determine whether to allow the first entity to log in based on the comparison operation.