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--- |
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dataset_info: |
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features: |
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- name: _raw |
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dtype: string |
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- name: Type |
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dtype: string |
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- name: CVSS |
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dtype: string |
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- name: Score |
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dtype: float64 |
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splits: |
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- name: data |
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num_bytes: 8940142 |
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num_examples: 18842 |
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download_size: 2012662 |
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dataset_size: 8940142 |
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configs: |
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- config_name: default |
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data_files: |
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- split: data |
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path: data/data-* |
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license: apache-2.0 |
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--- |
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# Web Access Logs Dataset |
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## Overview |
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This dataset contains web access logs, including information about various types of cyber attacks. It includes details on the type of attack (if any), the CVSS (Common Vulnerability Scoring System) metrics representing the risk of the attack, and a score indicating the percentage of risk. |
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## Dataset Details |
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- **Number of rows**: 18,842 |
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- **Number of distinct types of attacks**: 7 |
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- **Total number of tokens**: 420,098 |
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### Columns |
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- **Type**: The name of the cyber attack. If the log is not an attack, this field is null. |
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- **CVSS**: The CVSS metrics representing the risk of the attack. |
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- **Score**: The percentage of risk. |
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### Attack Types |
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The dataset includes the following types of attacks: |
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- Local File Inclusion (LFI) |
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- Server-Side Template Injection (SSTI) |
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- SQL Injection |
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- Cross-Site Scripting (XSS) |
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- Server-Side Request Forgery (SSRF) |
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- File Upload |
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- Cross-Site Request Forgery (CSRF) |
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### Data Distribution |
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- **Number of rows for each type**: |
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- **LFI**: 3,088 |
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- **SSTI**: 2,105 |
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- **SQL Injection**: 1,706 |
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- **XSS**: 648 |
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- **SSRF**: 576 |
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- **File Upload**: 437 |
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- **CSRF**: 282 |
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- **Average CVSS scores for each type**: |
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- **CSRF**: 7.330496 |
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- **LFI**: 5.470887 |
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- **SSRF**: 3.102091 |
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- **SSTI**: 4.605653 |
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- **SQL Injection**: 2.921043 |
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- **XSS**: 1.221296 |
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- **File Upload**: 5.024256 |
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- **Median CVSS scores for each type**: |
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- **CSRF**: 8.5 |
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- **LFI**: 5.5 |
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- **SSRF**: 2.7 |
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- **SSTI**: 5.5 |
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- **SQL Injection**: 2.7 |
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- **XSS**: 1.0 |
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- **File Upload**: 5.5 |
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## Usage |
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This dataset is useful for analyzing web security threats and understanding the distribution and severity of different types of cyber attacks. It can be used for machine learning tasks such as anomaly detection, risk assessment, and security analysis. |
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## License |
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This dataset is provided under the [Apache license 2.0]. |
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## Contact |
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For any questions or issues, please contact [[email protected]]. |
