Ransomware File Recovery Verification for Cross-Platform Decryption
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Solution Overview
Problem
Conventional approaches to ransomware attacks are inadequate in efficiently recovering encrypted data, lack universal decryption capabilities, and fail to handle multiple ransomware variants effectively, particularly across different operating systems.
Innovation Solution
A system and method for forensic resolution of ransomware attacks, featuring a processor-based platform that verifies file integrity, organizes files into classification categories, captures incident data for analysis, generates visualizations, and executes remediation actions, with universal decryption capabilities across various operating systems, including LINUX/ESXi support, and integrates with threat actor tools for enhanced data analysis and decryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional approaches are used to mitigate ransomware attacks, then basic data protection is maintained, but the ability to efficiently recover encrypted data is insufficient
Solution Approach 1:
The system segments the decryption process by first verifying file integrity using reverse engineered rules before attempting decryption. This segmentation allows the system to identify and exclude unrecoverable files early, improving overall productivity by avoiding wasted decryption attempts on files that cannot be recovered.
Solution Approach 2:
The system performs preliminary actions by capturing incident data within a specific time window and organizing files into classification categories before decryption begins. This preliminary organization enables more efficient processing and improves both productivity and reliability of the recovery process.
2Adaptability or versatility
If universal decryption capabilities are implemented across multiple ransomware variants and operating systems, then decryption versatility is improved, but system complexity increases
Solution Approach 1:
The system implements universality by designing a single platform that can decrypt multiple ransomware variants across different operating systems including Windows and LINUX/ESXi. The reverse engineered rules and classification system are designed to be variant-agnostic, allowing the same core system to handle diverse ransomware types without requiring separate specialized tools for each variant.
Solution Approach 2:
The system introduces an intermediary classification layer that sits between file capture and decryption. Files are organized into classification categories based on their characteristics, and this intermediary structure enables the system to route different file types through appropriate decryption processes, managing complexity while maintaining versatility.
3Measurement precision
If comprehensive forensic analysis is performed on large volumes of incident data, then measurement precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by capturing incident data within a defined time window and organizing files into classification categories before detailed forensic analysis begins. This preliminary structuring of data enables more efficient processing during forensic analysis, reducing the time required to process large volumes of data while maintaining measurement precision.
Solution Approach 2:
The system segments the forensic analysis process by first capturing and organizing data in classified categories, then performing verification rules and decryption attempts on specific subsets. This segmentation allows comprehensive forensic analysis to be performed systematically on organized data subsets rather than attempting to analyze all data simultaneously, reducing overall processing time while maintaining accuracy.
4Reliability
If files are verified for integrity before decryption, then decryption reliability is improved, but computational overhead increases
Solution Approach 1:
The system extracts and applies reverse engineered rules specific to each ransomware variant to verify file integrity before attempting decryption. By taking out and applying these targeted verification rules, the system improves decryption reliability by identifying recoverable files, while the rules are designed to be computationally efficient to minimize the energy overhead of the verification process.
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.