Network Threat Analysis System with File Decoding
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Solution Overview
Problem
Modern signature-based network intrusion detection systems face challenges in detecting malicious content due to encoding, encryption, and compression in protocols like SMTP and HTTP, as well as limitations in providing file information, which impede effective network defense.
Innovation Solution
The system identifies, decodes, and decompresses files before executing signature-based detection routines, aggregating network information with file information, and provides a user interface for searching using network or threat attributes, employing tools like LibNIDS, Perl/Python modules, and YARA for TCP stream reassembly and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signature-based detection routines are used directly on network traffic, then detection speed is maintained, but detection accuracy deteriorates due to encoding, encryption, and compression
Solution Approach 1:
The system performs file identification, decoding, and decompression operations on network traffic before signature-based detection is applied. This preliminary processing converts encoded, encrypted, or compressed data into a format suitable for signature matching, thereby improving detection accuracy without compromising the speed of the actual signature-based detection routine.
2Measurement precision
If network information is aggregated with file information, then threat analysis capability is improved, but information processing time increases
Solution Approach 1:
The system merges network information (such as TCP stream data, protocol information) with file information (file headers, message digests, decoded content) into a unified data structure. This integration enables comprehensive threat analysis by correlating network context with file characteristics, improving the overall threat analysis capability while managing processing time through efficient data aggregation.
3Measurement precision
If host-based file analysis tools are used, then file detection capability is improved, but network origin information is lost
Solution Approach 1:
The system acts as an intermediary between network intrusion detection systems and host-based file analysis tools. It captures network traffic, performs file identification and decoding, then integrates the results with network origin information (such as source IP, destination IP, protocol details). This intermediary function allows file-level detection capability while preserving network context that would otherwise be lost.
4Measurement precision
If network intrusion detection systems provide detailed file information, then threat identification is improved, but system performance deteriorates
Solution Approach 1:
The system extracts only the most critical file information elements (such as file headers, message digests, and key decoded content) from the complete file data. This selective extraction provides sufficient threat identification capability while minimizing the processing overhead and maintaining system performance. Not all file details are processed in full, only those necessary for effective threat detection.
Data Source
AI summary
The inventive systems and methods aggregate network information to accompany file information in an indicator and warning environment. This system also provides a user interface to search for files using network attributes or file attributes, such as message digest. The system can include threat scoring functionality that can be configured to calculate a threat score based on a combination of the result of file analysis on one or more files and associated network data capture information.