Automated Security Vulnerability Verification via Request Alteration
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Solution Overview
Problem
Detecting and verifying security vulnerabilities in software is a slow, costly, and manual process prone to false positives and negatives, requiring significant resources and time from security experts.
Innovation Solution
Implementing a system that automatically verifies security vulnerability detections by parsing and altering application service requests, reconstructing them to analyze behavior, and using sensors to monitor and verify potential vulnerabilities, thereby reducing false positives and eliminating manual verification processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated software security testing tools are used to detect security vulnerabilities, then detection speed and coverage are improved, but false positives increase requiring manual verification
Solution Approach 1:
The system implements feedback by automatically verifying detected vulnerabilities through parameter alteration and re-execution. The verification results feed back into the testing process to confirm or refute initial detections, eliminating false positives while maintaining high detection speed through automated closed-loop validation
Solution Approach 2:
The security testing system performs self-verification by automatically altering parameters and re-executing tests to validate detections. This self-service capability eliminates the need for manual verification by security experts, simultaneously improving both detection speed and accuracy through automated validation
2Measurement precision
If manual verification of security vulnerabilities is performed by security experts, then detection accuracy is improved, but time and resource requirements increase
Solution Approach 1:
The system replaces the mechanical process of manual verification by security experts with an automated computational verification system. This substitution maintains high verification accuracy through systematic parameter alteration and re-execution while dramatically reducing verification time and resource requirements
Solution Approach 2:
The verification process serves itself by automatically validating detections through parameter manipulation and re-execution. This self-verification mechanism eliminates dependency on manual expert review, achieving both high accuracy and rapid verification throughput
3Productivity
If security vulnerability verification is automated through parameter alteration and re-execution, then verification speed is improved, but system complexity increases
Solution Approach 1:
The verification system is segmented into distinct functional modules: parameter parsing, parameter alteration, request reconstruction, and behavior analysis. This segmentation manages system complexity by organizing verification tasks into discrete, manageable components that can be executed systematically at high speed
Data Source
AI summary
An application service request is parsed to identify an application service request parameter of the application service request. The application service request parameter is altered. The application service request is reconstructed to include the altered application service request parameter. The behavior of the application is analyzed while executing the reconstructed application service request to detect a security vulnerability. The detection of the security vulnerability is verified to eliminate false positives.