Instrumentation Code for Malicious Script Detection
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Solution Overview
Problem
Web servers face challenges in detecting and mitigating malicious scripts that can compromise user data, as existing methods fail to effectively distinguish between legitimate and malicious script activity, allowing attackers to exfiltrate sensitive information without detection.
Innovation Solution
A security server system is implemented that provides instrumentation code to client computing devices to collect script activity data, analyzing it to identify malicious scripts by comparing current activity with prior data, and performing threat response actions such as blocking malicious scripts from accessing sensitive data or initiating network requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If instrumentation code is deployed to collect script activity data from multiple domains, then detection accuracy improves through aggregated data analysis, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments the script monitoring function by deploying lightweight instrumentation code modules across multiple domains independently. Each domain instrumented page executes its own instrumentation code that collects script activity data locally, then transmits it to the server. This segmentation allows the system to gather comprehensive data across domains without centralizing the complex collection logic, thereby improving detection accuracy while managing system complexity through distributed implementation.
Solution Approach 2:
The server acts as an intermediary that receives script activity data from multiple domains, aggregates it, and performs centralized analysis. The server mediates between the distributed instrumentation code across domains and the detection logic, combining raw data collection at the edge with intelligent analysis at the center. This intermediary approach enables the system to leverage data from multiple domains for improved detection accuracy while keeping the client-side instrumentation code relatively simple.
2Reliability
If comprehensive script activity data is collected and analyzed, then malicious script detection capability improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by deploying instrumentation code that continuously collects and buffers script activity data in the background before malicious activity occurs. The instrumentation code is pre-positioned on client devices and begins monitoring script executions, data accesses, and network requests immediately, storing data locally until analysis is needed. This preliminary data collection enables rapid detection and response when malicious patterns emerge, improving detection capability while minimizing processing delays.
Solution Approach 2:
The system implements selective transmission and prioritized processing of script activity data. Rather than transmitting all collected data uniformly, the instrumentation code identifies and prioritizes transmission of suspicious or anomalous script activities that match known malicious patterns. The server similarly prioritizes processing of high-risk data streams, skipping or deferring analysis of clearly benign activities. This selective approach maintains high detection capability for malicious scripts while reducing overall processing time and resource consumption.
3Object-affected harmful factors
If threat response actions are implemented to block malicious scripts, then security protection effectiveness improves, but potential impact on legitimate script functionality increases
Solution Approach 1:
The system implements feedback mechanisms where the server analyzes script activity data, identifies malicious patterns, and sends back blocking instructions to the client-side instrumentation code. The instrumentation code continuously monitors script executions and compares them against the server-provided threat intelligence and blocking rules. When suspicious activity is detected, the system provides immediate feedback by blocking only the specific malicious script instances identified, while allowing other scripts to continue executing. This feedback loop enables effective security protection while minimizing impact on legitimate functionality through precise, targeted blocking decisions.
Solution Approach 2:
The system applies different security measures to different scripts and execution contexts based on their specific characteristics. Rather than implementing blanket blocking of all scripts from certain domains, the instrumentation code analyzes each script's behavior, data access patterns, and network requests individually. Threat response actions are localized to specific malicious scripts or functions within scripts, allowing legitimate portions of compromised scripts to continue functioning while blocking only the harmful segments. This localized approach improves security effectiveness while preserving legitimate script functionality.
Data Source
AI summary
Techniques are provided for detecting a malicious script in a web page. Instrumentation code is provided for serving to a client computing device with a web page. The instrumentation code is configured to monitor web code execution at the client computing device when a script referenced by the web page is processed. Script activity data generated by the instrumentation code is received. The script activity data describes one or more script actions detected by the instrumentation code at the client computing device. Prior script activity data generated by a prior instance of the instrumentation code is obtained. A malicious change in the script is detected based on comparing the script activity data and the prior script activity data. In response to detecting the malicious change in the script, a threat response action is performed.