Ransomware Forensic Platform for File Verification and Decryption
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Solution Overview
Problem
Conventional approaches to ransomware attacks are inadequate in efficiently capturing detailed forensic data, handling large volumes of data, addressing multiple ransomware variants, and providing universal decryption capabilities, especially across different operating systems.
Innovation Solution
A platform and method for forensic resolution of ransomware attacks that includes a processor configured to verify file integrity, organize files into classification categories, capture incident data, generate visualizations, and execute remediation actions, with universal decryption capabilities across various operating systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional approaches are used to capture forensic data, then data collection is simple, but the detail and completeness of forensic data is insufficient
Solution Approach 1:
The system segments forensic data collection into multiple specialized modules: volatile memory capture, disk image acquisition, registry extraction, and network artifact collection. Each module targets specific data types with optimized collection methods, enabling comprehensive detailed forensic data while managing complexity through modular architecture.
Solution Approach 2:
The forensic platform implements a universal data collection framework that can handle multiple data sources and formats through a single integrated system. The platform universally captures data from Windows, Linux, and macOS systems, and supports multiple ransomware variants, reducing the need for separate specialized tools while maintaining high detail standards.
2Adaptability or versatility
If conventional systems handle ransomware attacks, then they address single variants, but they cannot handle multiple ransomware variants in the same attack
Solution Approach 1:
The system implements a universal decryption platform that can handle multiple ransomware variants simultaneously. The platform includes a variant identification engine that detects the type of ransomware present, and a decryption engine that applies appropriate decryption methods for each detected variant, enabling multi-variant support within a single integrated system.
Solution Approach 2:
The system dynamically adjusts its decryption parameters and methods based on the identified ransomware variant. When multiple variants are detected, the platform changes its operational parameters to apply variant-specific decryption algorithms, allowing adaptation to different encryption schemes without requiring completely separate systems for each variant.
3Adaptability or versatility
If conventional decryption methods are used, then they are simple to implement, but they lack universal decryption capability across operating systems
Solution Approach 1:
The decryption platform implements cross-operating system capability through a unified architecture that can execute decryption operations on Windows, Linux, and macOS systems. The system includes OS-specific adapters that maintain compatibility with each operating system's file system and security model, enabling universal decryption capability while managing complexity through standardized interfaces.
4Productivity
If conventional forensic analysis is performed, then it processes data slowly, but the system lacks rapid real-time analysis capability
Solution Approach 1:
The system performs preliminary actions by capturing and preserving forensic data immediately upon detecting a ransomware attack, before the attacker can destroy or modify evidence. The platform proactively creates disk images, exports registry hives, and captures memory dumps at the moment of detection, enabling rapid subsequent analysis without waiting for manual intervention or data preparation.
Solution Approach 2:
The forensic analysis process is segmented into parallel processing streams: malware behavior analysis, decryption key extraction, file recovery operations, and threat intelligence gathering all occur simultaneously. This segmentation of analytical tasks enables rapid comprehensive analysis of large data volumes by distributing processing across multiple independent analysis pipelines.
Data Source
AI summary
Systems and methods for forensic resolution of ransomware attacks are provided. The systems and methods define a platform and functionality for addressing ransom based attacks. According to one aspect, the platform and functionality provides a suite of programs and services that enable verification of “ransomed” files to ensure that they can in fact be recovered. If an attack has compromised the integrity of the underlying data so that it cannot be recovered, paying the ransom is an exercise in futility. Additional aspects provide for rapid collection of data that is targeted and specific and that further enables efficient forensic analysis. Many conventional approaches in this space fail to capture requisite detail and/or fail to provide a methodology for handling the volumes of data required to efficiently and effectively track or resolve such attacks. Further aspects provide actionable intelligence that drives result oriented goals for ransomed data and/or compromised systems.