Network Binary File Extraction for Real-Time Malware Detection
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Solution Overview
Problem
Existing antivirus systems are ineffective in detecting and preventing malicious network content, such as malware, especially when it is obfuscated or distributed through websites, leading to potential damage and privacy loss before detection, and updates can take weeks or months.
Innovation Solution
A network-based system and method for binary file extraction and analysis, which includes a binary identification module, extraction module, static analysis module, pre-verification module, and virtual machine analysis module to identify and analyze binary files within network traffic, determining if they are malware and taking actions to mitigate their impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional antivirus scanning software is used to detect malware, then malware detection capability is provided, but detection occurs too late causing damage and privacy loss, and updates take weeks or months
Solution Approach 1:
The system performs preliminary analysis of binary files within network traffic before they are executed on the client device. By extracting and analyzing binary files in transit, the system detects malware proactively before it can cause damage, eliminating the time delay inherent in traditional post-infection scanning approaches
Solution Approach 2:
The system introduces an intermediary analysis server that acts as a mediator between the network traffic and the client device. This intermediary extracts binary files from network traffic, analyzes them for malware, and provides results back to the client, enabling real-time protection without requiring updates to be installed on the client device itself
2Measurement precision
If antivirus software is updated frequently to detect new malware, then detection accuracy improves, but system complexity and update management burden increase
Solution Approach 1:
The analysis server automatically receives and processes new malware samples and analysis results from the network without requiring manual intervention. The system self-updates its detection capabilities by analyzing newly encountered binary files and adapting its malware detection algorithms, eliminating the need for manual signature updates on client devices
Solution Approach 2:
The analysis server provides universal malware detection services to multiple client devices simultaneously. By centralizing the analysis functionality on a multi-functional server that can handle various binary file types and malware variants, the system achieves high detection accuracy across diverse threats without increasing complexity at the client level
3Reliability
If manual creation of anti-virus signatures is performed, then malware detection capability is improved, but the process takes weeks or months
Solution Approach 1:
The system replaces the manual mechanical process of signature creation with automated computational analysis. The analysis server automatically extracts binary files from network traffic, executes them in isolated environments, observes their behavior, and generates detection signatures programmatically, increasing productivity from weeks/months to minutes or seconds
Solution Approach 2:
The system performs continuous automated analysis of binary files as they traverse the network, rather than periodic manual signature updates. The analysis server continuously monitors network traffic, extracts binary files, analyzes them in real-time, and immediately updates detection capabilities, maintaining continuous improvement of malware detection capability without interruption
Data Source
AI summary
A system and method are disclosed for network-based file analysis for malware detection. Network content is received from a network tap. A binary packet is identified in the network content. A binary file, including the binary packet, is extracted from the network content. It is determined whether the extracted binary file is detected to be malware.