File Encryption and Destructive Behavior Code Understanding Dataset
#code behavior analysis #ransomware risk detection #security mitigation recommendation #ransomware threat detection #file encryption security analysis #malicious code behavior assessment
- 5000
- 0.3GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset contains source code samples involving file traversal, encryption, renaming, deletion, overwriting, and key management, together with behavioral explanations and risk analyses. It helps models distinguish legitimate business encryption logic from implementations that could cause ransomware-like impact, including risk boundary analysis, key security review, and mitigation recommendations. It is designed for code security assessment, model training, and the improvement of security analysis workflows.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_record | object | The source code under analysis and its basic context, serving as the original input for the record. |
| risk_assessment | object | An overall assessment of whether the code could cause ransomware-like impact, with supporting rationale. |
| boundary_analysis | object | Conditions under which the code represents legitimate functionality and conditions under which it could become a dangerous implementation. |
| operation_analysis | array | A step-by-step account of file traversal, encryption, renaming, deletion, overwriting, and other operations in the code. |
| code_behavior_summary | string | An overview of the code's overall function, main execution flow, and potential impact. |
| key_management_analysis | object | An analysis of key generation, origin, storage, use, and recoverability, including related security risks. |
| mitigation_recommendations | array | Recommendations addressing code risks, key management, access control, backup and recovery, and monitoring and auditing. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What code behaviors does the dataset cover?
- It covers file traversal, encryption, renaming, deletion, and overwriting, as well as key generation, storage, use, and recovery logic. Records also include behavior summaries and risk analyses.
- How does the dataset distinguish legitimate encryption from dangerous implementations?
- It examines execution flows, the scope of file impact, key management practices, and recovery capabilities to assess potential ransomware-like impact. The analysis also explains the conditions that separate legitimate functionality from hazardous behavior.
- What are the dataset's intended use cases?
- Use cases include code security auditing, ransomware risk assessment, security model training, and insurance risk review. Supported tasks include behavior explanation, risk assessment, and mitigation recommendation generation.
- How can the dataset be obtained, and what are its licensing terms?
- Licensing terms, sample delivery format, and access options should be confirmed on the provider's product page or in the applicable license agreement. Verify the permitted use of code samples before analysis, and work in an isolated, controlled environment.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={File Encryption and Destructive Behavior Code Understanding Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/b18e04739ef71b208e0e576030f9f0ac?dataset_task_cate_id=2},
urldate={2026-10-14},
keywords={file encryption code,ransomware risk,code behavior analysis,file operation auditing,key management security,destructive code detection,code security dataset,risk mitigation guidance},
version={1.0}
}Using this in research? Please cite us.
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