CVEShield Dataset

**Overview**
Welcome to the Fundamental CVEShield Dataset! This dataset offers a comprehensive collection of Common Vulnerabilities and Exposures (CVE) information from various sources, consolidated and simplified for your convenience. We have added additional, valuable, cyber threat intelligence context for deeper situational awareness.

**Use cases**

- Effective vulnerability prioritisation utilising **v-score**
- Vulnerability trend analysis
- Social media trending
- Software to vulnerability matching

**Product details**
The Fundamental CVEShield Dataset is designed to assist you in identifying high-risk vulnerabilities. It includes data from multiple sources, including the National Vulnerability Database (NVD), MITRE, exploit databases, and even social media platforms. Here are some key attributes you'll find in the dataset:

- **V-Score:** The V-Score is a dynamic vulnerability risk scoring system that adaptively sources the available severity and exploitability data to provide the most informed and immediate representation of risk. It is calculated using the rest of the vulnerability information proivded in this dataset into one combined score for easy prioritisation.

- **EPSS (Exploitation Predictive Score):** This predictive score estimates the likelihood of a CVE being exploited in the next 30 days. It is generated using a gradient-boosted machine learning model.

- **CTI Count:** This attribute counts how often a CVE has been found in a collection of monitored cyber threat intelligence reports and articles feeds.

- **Social Media Audience:** It provides an estimate of the number of people who have seen a CVE being discussed on social media platforms, particularly Twitter and Reddit.

- **Vendors:** The dataset includes a list of vendors affected by each CVE.

- **Software CPEs:** This list enumerates the Common Platform Enumerations (CPEs) affected by the CVE. CPE is a standard for identifying software and hardware.

- **CISA/Metasploit:** This boolean flag helps highlight vulnerabilities with automated exploits.

**Data Collection and Consolidation**

Our dataset is consolidated using the Kaze KatoAI data platform, which ensures data quality and accuracy. We've gathered information from various sources, making it easier for you to access the data without the hassle of querying multiple databases. This simplification is designed to save you time and effort when researching vulnerabilities.

**Ease of Use**

We've made the CVEShield Dataset available in an easily readable format with a shallow schema. This design choice aims to reduce complexity and make it more accessible to a wider audience, from cybersecurity professionals to researchers.

**Access the CVEShield Application**

For a user-friendly experience, we offer a free-to-use application at [www.cveshield.com](https://www.cveshield.com). This application is designed to help you identify the latest trending vulnerabilities using the CVEShield Dataset. It's a valuable tool for staying up-to-date with the ever-evolving world of cybersecurity.

We hope you find this dataset valuable and encourage you to reach out to us with any questions, feedback, or suggestions for improvements. Happy vulnerability hunting!

For more details, refer to the embedded notebook.

搜集汇总

背景与挑战

背景概述

CVEShield Dataset是一个整合多源CVE漏洞信息的综合数据集，包含动态风险评分(V-Score)、漏洞利用预测(EPSS)及社交媒体关注度等关键指标，支持漏洞优先级排序和趋势分析。数据集采用简化结构设计，便于网络安全专业人员快速获取标准化漏洞情报。