Webserver Instance Segmentation for Logic Defect Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional software development tools are inadequate in detecting logic errors in software code, leading to undetected security defects that can result in security breaches and significant financial losses, as they primarily focus on syntax errors and struggle with complex web-based applications.
Innovation Solution
A method and apparatus for identifying logic defects in webserver applications through dynamic analysis, where a webserver device establishes instances for each client, detects permission violations, and visualizes the affected webserver functions to mitigate and remediate potential attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional software development tools are used to identify errors in code, then syntax errors can be visually identified, but logic errors and security defects remain undetected
Solution Approach 1:
The system segments the monolithic webserver into multiple isolated instances, each handling a specific client device. This segmentation allows independent analysis of each instance's behavior and permission handling, enabling detection of logic errors that would be difficult to identify in a unified system. The isolation ensures that defects in one instance do not affect others, facilitating precise error localization.
Solution Approach 2:
The system introduces an intermediary analysis layer that monitors and records the behavior of webserver instances. This intermediary component captures permission violations and logic errors without interfering with normal operation, enabling post-analysis of system behavior. The intermediary records detailed information about function calls, permission checks, and security events for later examination.
2Reliability
If webserver instances are established for each client device to improve security analysis, then permission violations can be detected, but system complexity increases
Solution Approach 1:
The webserver is divided into multiple independent instances, each dedicated to a specific client device. This segmentation creates isolated environments where permission violations can be detected without affecting other clients. Each instance maintains its own state and permission context, enabling precise security analysis while preventing cross-contamination of security defects.
Solution Approach 2:
Each webserver instance is configured with specific local qualities tailored to its assigned client device, including client-specific permission sets and access controls. This local customization allows each instance to enforce appropriate security policies for its designated client, improving overall system security while maintaining manageable complexity through specialization.
3Reliability
If dynamic analysis is performed to identify logic defects, then security breaches can be prevented, but incident response time increases
Solution Approach 1:
The system performs preliminary dynamic analysis by establishing webserver instances and monitoring their behavior before actual security breaches occur. Permission violations and logic errors are detected and recorded during normal operation, allowing security issues to be identified and remediated before they can be exploited by adversaries. This proactive approach prevents breaches rather than responding to them after occurrence.
Solution Approach 2:
The system implements continuous feedback loops where the behavior of webserver instances is monitored, analyzed, and used to update security models. Permission violations and logic errors trigger immediate feedback that alerts security personnel and enables rapid response. The feedback mechanism provides real-time information about system state, allowing quick identification and remediation of security defects.
4Difficulty of detecting and measuring
If comprehensive logging and analysis of webserver behavior is implemented, then logic errors can be identified, but data processing complexity increases
Solution Approach 1:
The system extracts only the most relevant information from webserver operations for analysis, focusing specifically on permission violations, function call sequences, and security-critical events. Rather than analyzing all logged data, the system selectively extracts and prioritizes information most likely to reveal logic errors and security defects, reducing processing complexity while maintaining detection effectiveness.
Solution Approach 2:
The system changes the parameters of analysis by focusing on specific behavioral patterns and permission states rather than attempting to analyze all possible system states. By adjusting analysis parameters to concentrate on high-risk areas such as permission violations and unauthorized access attempts, the system reduces computational complexity while improving detection of logic errors in permission handling.
Data Source
AI summary
Embodiments of the innovation relate to, in a webserver device, a method for identifying a logic defect in an application. The method comprises establishing a webserver instance of the webserver device with a client device, the webserver instance of the webserver device having a corresponding set of client device permissions; receiving a content request from the client device associated with the webserver instance of the webserver device; detecting a violation of a permission of the set of client device permissions associated with the webserver instance of the webserver device; identifying at least one webserver function associated with the violation of the permission of the set of client device permissions; and displaying a visual identification of the at least one webserver function associated with the violation of the permission of the set of client device permissions.