Cyberattacks: most common exploited applications worldwide 2021-2023

Statista2026-04-25 收录

漏洞利用分析

网络安全威胁情报

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https://www.statista.com/statistics/434880/cyber-crime-common-exploits-global/数据链接链接失效反馈

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Most commonly exploited applications worldwide from November 2021 to October 2023

零日漏洞利用行为分析系统数据集

网络入侵检测

漏洞利用分析

数据集根目录下分2个子目录，“01-攻击行为检测规则数据子集”和“02-攻击检测模型训练数据子集”。“01-攻击行为检测规则数据子集”主要为检测攻击行为的规则文件，该数据集是通过Snort.org、emergingthreats.net、suricata.io等公开渠道获取检测规则，并在此基础上进行整理、优化得到的数据集。该数据集的规则涵盖针对SQL注入攻击、缓冲区溢出攻击、通用漏洞利用攻击、Ex

国家基础学科公共科学数据中心290

Motivations for hacking worldwide 2024

黑客动机分析

网络安全威胁情报

Reasons for hacking according to global hackers in 2024

Statista40

URL extraction results: testing on-premise LLMs on selected exploits

漏洞利用分析

LLM安全评估

This dataset presents URL extraction results from testing three on-premise Large Language Models (LLMs): Llama 3.1: 8B, Qwen 2.5 Coder: 7B Instruct, and Codestral: 22B. Each model has its directory co

NIAID Data Ecosystem20

Techniques and Implementation of High-Quality Threat Intelligence Acquisition from the Dark Web

暗网威胁情报

网络安全威胁情报

There is a large amount of hidden information about cyber attacks or cybercrime in the dark web. Previous studies have mainly focused on analyzing general open source threat intelligence or working on

中国科学数据2026-03-16 更新80

Awesome Threat Intelligence

网络安全威胁情报

威胁情报资源共享

Initial release. The goal of this list is to: Aggregate trustworthy and relevant resources. Support learning, research, and practical implementation. Provide a centralized reference for practiti

Zenodo2026-05-05 更新30

Cyberattacks: most common exploited applications worldwide 2021-2023

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