Software Hook SQL Injection Detection
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Solution Overview
Problem
Current security solutions fail to effectively identify and prevent SQL injection attacks, as they often rely on network-based approaches that struggle to correlate database queries with user input and may produce false positives or negatives, and lack the ability to sanitize queries properly.
Innovation Solution
Implementing software hooks at various execution contexts to intercept and analyze web requests and database queries, allowing for the correlation of user input with generated database queries and the detection of potential SQL injection attacks before execution, thereby enabling real-time prevention and sanitization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network-based security approaches are used to detect SQL injection attacks, then broad coverage of attacks is achieved, but false positives and negatives increase and correlation between user input and database queries becomes difficult
Solution Approach 1:
The patent introduces software hooks as intermediary components that are inserted into the execution flow between user input processing and database query execution. These hooks act as mediators that can capture both the original user input and the generated database queries, enabling direct correlation without the complexity of network-based analysis. The hooks provide a controlled intermediary layer that maintains reliability by directly observing the data flow at critical points in the application execution.
2Measurement precision
If software hooks are implemented to intercept and analyze web requests and database queries, then SQL injection detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the security analysis function into distinct software hooks that are placed at specific execution contexts. Rather than implementing a single complex analysis system, the security functionality is divided into multiple modular hooks that intercept web requests, persist data, intercept database queries, and perform comparisons separately. This segmentation reduces implementation complexity by creating manageable, independent components that can be developed and maintained separately while achieving high detection precision through their coordinated operation.
3Object-affected harmful factors
If user input is strictly filtered for SQL metacharacters, then SQL injection prevention is improved, but legitimate user input may be blocked
Solution Approach 1:
The patent performs preliminary actions by intercepting and persisting user input data at the software hook level before the data reaches the database query generation stage. This preliminary capture allows the system to analyze the user input in context with the actual database query that will be generated, rather than applying blanket filtering rules. The preliminary action enables the system to identify SQL injection attempts with high precision while allowing legitimate input to pass through unchanged, thus protecting against harmful factors without impeding ease of operation for valid users.
Data Source
AI summary
A computer implemented method for preventing SQL injection attacks comprises intercepting a web request associated with a web service at a first software hook in a first web service execution context, persisting at least a portion of the intercepted web request in a storage location associated with the first software hook and accessible to at least one additional execution context, intercepting a database query generated by at least one web service processing operation at a second software hook associated with the execution of the query, wherein the query is generated in response to the intercepted web request and the second hook retrieves the persisted portion of the intercepted web request, comparing a portion of the persisted portion of the intercepted web request with at least a portion of the intercepted database query, and determining, prior to the query being executed, whether the query corresponds to a potential SQL injection attack.