Direct Malware Detonation for Accurate Traffic Analysis
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Solution Overview
Problem
Existing technologies face challenges in effectively analyzing malware traffic due to the complexity of adware emulation detection systems, which are difficult to bypass using traditional techniques, leading to inaccurate analysis results.
Innovation Solution
The method involves directly detonating malware samples on real devices using a dynamic pipeline architecture, which includes a hardware setup with RPI and software components to install, monitor, and analyze data packages, triggering malicious behavior, and extracting URLs and headers for detailed analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional emulation techniques are used to analyze malware, then the analysis process is simpler to implement, but the detection accuracy is significantly reduced due to adware emulation detection systems
Solution Approach 1:
The patent introduces a dynamic pipeline architecture as an intermediary layer between the malware sample and the analysis system. This pipeline includes multiple processing stages (installation, activation, monitoring, extraction) that mediate the interaction between malware and detection tools, allowing accurate analysis without triggering adware detection mechanisms.
Solution Approach 2:
The patent replaces traditional static emulation methods with a dynamic runtime execution system. Instead of simulating malware behavior in a controlled virtual environment that adware detectors can identify, the system allows actual malware execution on real devices and captures behavior through monitoring tools, substituting mechanical emulation with dynamic observation.
2Measurement precision
If direct malware detonation on real devices is implemented, then analysis accuracy is significantly enhanced, but the implementation complexity increases
Solution Approach 1:
The patent divides the malware analysis process into distinct modular segments: sample retrieval from database, installation on test devices, activation/triggering of malware behavior, runtime monitoring, and post-execution extraction. Each segment is handled by specialized components in the dynamic pipeline, making the complex process manageable and implementable through standardized interfaces.
Solution Approach 2:
The dynamic pipeline architecture serves multiple functions simultaneously: it manages diverse malware samples, handles various device types, implements multiple monitoring mechanisms, and supports different extraction methods. This universal framework reduces implementation complexity by providing a single versatile system rather than separate specialized tools for each analysis task.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for analyzing malware traffic with direct malware detonation. The method may include, retrieving a data package from a source database. The method may also include invoking an auto tester to generate an indicator on the data package. The method may further include installing, in response to the invocation, the data package on a user equipment. In addition, the method may include triggering malicious behavior on the user equipment. Further, the method may include implementing an emulation of at least one user event on the data package during the malicious behavior. The method may also include extracting a uniform resource locator, a header, or a request body generated by the user equipment.