Type-Based Application Code Scanning for Scalable SDK Detection
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Solution Overview
Problem
Existing code scanning systems are rigid, inefficient, and difficult to navigate, leading to computational inefficiencies and inability to scale, particularly in large and varied application codes, and fail to accurately identify data processing activity components, exacerbating data security risks due to data sprawl and software updates.
Innovation Solution
An application scanning service system utilizes type-based analysis to extract data types from application code, identify candidate function call components, and apply pattern matching to detect data processing activity components, such as SDKs, using a detector specification to generate intuitive graphical user interfaces for efficient navigation and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional code scanning systems decompile and extensively scan through thousands of lines of code to identify each component, then comprehensive component detection is achieved, but computational efficiency deteriorates and resource utilization becomes inefficient
Solution Approach 1:
The patent extracts and utilizes type information from application code to guide the scanning process. By focusing on type-based patterns and signatures rather than scanning every line of code, the system achieves comprehensive component detection while significantly reducing computational load and improving efficiency.
Solution Approach 2:
The system changes the scanning approach from exhaustive line-by-line analysis to type-based pattern matching. By transforming the detection parameters from comprehensive code coverage to targeted type information analysis, the system maintains detection accuracy while improving computational efficiency.
2Quantity of substance
If existing code scanning systems list all detected components in a substantially large list, then complete component inventory is provided, but user interface navigability deteriorates
Solution Approach 1:
The patent segments the large list of detected components into meaningful categories and groups. By organizing components hierarchically and categorically rather than presenting a flat exhaustive list, the system provides complete component information while significantly improving interface navigability and user experience.
3Measurement precision
If conventional scanning tools search for specific known references or calls to identify static components, then known components are detected, but adaptability to newly introduced references deteriorates
Solution Approach 1:
The patent implements a type-based detection approach that serves multiple functions: it detects known components through type matching while simultaneously adapting to new components through pattern recognition. This universal approach replaces the need for maintaining static lists of known references, enabling the system to handle both existing and newly introduced components effectively.
Data Source
AI summary
This disclosure describes some aspects of systems, non-transitory computer-readable media, and computer-implemented methods that scans application codes to detect data processing activity components utilized a type-based analysis. For example, the disclosed systems can extract data type information from input application code and utilize the data type information to identify a list of potential (or candidate) function call components for the particular extracted data type. In addition, the disclosed systems can utilize a pattern matching model to match the list of potential function call components to function call component signatures within the application code. Moreover, the disclosed systems can utilize the determined function call component signatures with a detector specification to identify particular data processing activity components (e.g., SDKs, targets, method calls) corresponding to the application code. Moreover, the disclosed systems can display the identified data processing activity components within a software profile for the application code.