Detecting Stored XSS Vulnerabilities via Interface Data Store Tracing
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Solution Overview
Problem
Existing black-box testing tools have limited success in determining whether web applications are vulnerable to stored cross-site scripting (XSS) attacks, as they fail to effectively identify security vulnerabilities associated with interactions between different interfaces and a persistent data store.
Innovation Solution
A method and system that interact with a computer software application's interfaces to detect and record associations between write and read operations within a persistent data store, using test data with malicious payload characteristics to identify stored security vulnerabilities by writing and reading data from specific locations in the data store.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If black-box testing tools are used to detect security vulnerabilities, then automated security testing is performed, but the ability to identify stored XSS vulnerabilities is limited
Solution Approach 1:
The patent introduces an intermediary testing mechanism that traces data flow between interfaces and persistent data stores. This intermediary layer captures and analyzes data interactions, enabling automated detection of stored XSS vulnerabilities by monitoring how data is written to and read from persistent storage, thereby resolving the limitation of traditional black-box tools in detecting stored attacks
Solution Approach 2:
The patent performs preliminary actions by pre-identifying and recording associations between interfaces and persistent data store locations before conducting vulnerability tests. This preliminary mapping of data flow paths enables the testing tool to efficiently inject and trace malicious payloads through the system, improving both automation capability and detection precision for stored XSS vulnerabilities
2Ease of operation
If traditional black-box testing methods are used, then interface interactions are tested, but associations with persistent data store operations are not identified
Solution Approach 1:
The patent implements feedback mechanisms that capture data flow information from interface interactions and feed it back into the testing system. By monitoring and recording associations between interface operations and persistent data store accesses, the system maintains comprehensive information about data paths, preventing loss of critical vulnerability detection information while keeping the testing process operational
Data Source
AI summary
Identifying stored security vulnerabilities in computer software applications by providing via a first interface of a computer software application during execution of the computer software application, test data having a characteristic of a malicious payload, where an interaction performed with the first interface resulted in data being written to a location within a persistent data store, and where an interaction performed with a second interface of the computer software application resulted in data being read from the location within the persistent data store, and identifying a stored security vulnerability associated with the computer software application if the test data are written to the persistent data store at the location.


