Web Browser Script Fingerprinting for XSS Detection
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Solution Overview
Problem
Current web browsers lack effective mechanisms to detect and prevent client-side scripting attacks, such as cross-site scripting (XSS), which can occur when malicious scripts are injected into web content, compromising user data and session information.
Innovation Solution
The system generates and compares script fingerprint data, including script code and syntax data, to identify anomalous scripts, both locally and globally, using a database to classify scripts by origin and update known script data, enabling the detection and prevention of malicious scripts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If script monitoring and fingerprinting mechanisms are implemented in web browsers, then security against XSS attacks is improved, but device complexity and processing overhead increase
Solution Approach 1:
The script monitoring system is segmented into multiple independent components: script fingerprint generation module, script database module, comparison module, and anomaly detection module. Each component performs a specific function, allowing the complex security task to be divided into manageable parts that can be executed efficiently without overwhelming the browser's processing capacity.
Solution Approach 2:
Script fingerprint data is generated and stored in a database before actual script execution occurs. This preliminary preparation allows the browser to quickly compare incoming scripts against known patterns without performing complex analysis in real-time, reducing processing overhead during critical security checks.
2Measurement precision
If comprehensive script fingerprinting is performed on all scripts, then detection precision for malicious scripts is improved, but processing time and energy consumption increase
Solution Approach 1:
The fingerprinting process applies different levels of analysis to different scripts based on their characteristics and origin. High-risk scripts from untrusted sources receive comprehensive fingerprinting and comparison, while scripts from trusted origins undergo simplified verification. This selective approach maintains high detection precision for malicious scripts while reducing overall processing time.
Solution Approach 2:
The system changes the parameters of script analysis dynamically based on context factors such as script origin, source reputation, and user behavior patterns. By adjusting the depth and scope of fingerprinting based on these parameters, the system achieves high detection precision when needed while minimizing processing time for routine scripts.
3Speed
If script fingerprint data is stored locally in the browser, then detection speed is improved, but user data privacy risks increase
Solution Approach 1:
A script database acts as an intermediary layer between the browser and user data. The database stores and manages script fingerprint information, providing a controlled interface for accessing script-related data. This intermediary structure enables fast local detection while centralizing data management and reducing direct exposure of user browsing data to potential security threats.
Data Source
AI summary
Various examples are directed to systems and methods for securing a web browser. The web browser may parse web content received from a server and identify a script associated with the web content. The web browser may generate script fingerprint data for the script. The script fingerprint data may comprise script code data describing script code for the script and script syntax data describing the script. The web browser may determine that the script fingerprint data is not described by local known script data and may send an anomalous script report to the server, where the anomalous script report comprising the script fingerprint data. The web browser may also update the local known script data to describe the script fingerprint data.