CyberAlert -25 Dataset

The CyberAlert-25 Dataset is a comprehensive collection of curated cyber threat data, developed to support advanced research in vulnerability detection, classification, and threat intelligence. Aggregated from authoritative sources such as the National Critical Information Infrastructure Protection Center (NCIIPC) and the MITRE Corporation, the dataset focuses on Common Vulnerabilities and Exposures (CVEs), encompassing a total of 29,650 entries. Each record in the dataset includes five critical attributes: CVE ID, a detailed De scription of the vulnerability, the corresponding CVSS Base Score, Base Severity, and the Attack type. These features provide a holistic view of each vulnerability’s technical and security context, making the dataset well-suited for machine learning, deep learning, and threat analysis tasks. The IndiSecure-CVE Dataset aims to enable more accurate vulnerability classification, facilitate threat modeling, and enhance cybersecurity readiness—particularly for regional applications in Indian cyberspace.

搜集汇总

背景与挑战

背景概述

CyberAlert -25 Dataset 是一个专注于常见漏洞和暴露（CVEs）的网络威胁数据集，包含29,650条记录，来源于NCIIPC和MITRE Corporation等权威机构。该数据集提供CVE ID、漏洞描述、CVSS分数、严重性和攻击类型等关键属性，旨在支持机器学习和威胁分析研究，特别适用于印度网络空间的安全应用。