five

recon publication .docx

收藏
Figshare2025-04-29 更新2026-04-08 收录
下载链接:
https://figshare.com/articles/dataset/recon_publication_docx/28898912/1
下载链接
链接失效反馈
官方服务:
资源简介:
In the field of cybersecurity, the reconnaissance phase is pivotal for identifying potential vulnerabilities and securing systems. Typically the first step in penetration testing, it involves gathering detailed information about a target. Traditionally, reconnaissance is a time-consuming and error-prone process, relying heavily on manual efforts and multiple disjointed tools.This project aims to automate and streamline the reconnaissance process by integrating various tools and techniques into a single, unified system. By automating the discovery of subdomains, open ports, and web application screenshots, the tool significantly reduces the time and effort required for manual reconnaissance tasks. The proposed solution offers an efficient, scalable approach to reconnaissance, providing cybersecurity professionals with accurate and comprehensive results in a fraction of the time.<br>

在网络安全领域中,侦察阶段(reconnaissance)是识别潜在漏洞、保障系统安全的核心环节。其通常作为渗透测试(penetration testing)的首个环节,需针对目标对象搜集详尽的情报信息。传统的侦察流程高度依赖人工操作与多款相互割裂的工具,不仅耗时冗长,且极易出现差错。本项目旨在将各类工具与技术整合至一套统一的系统中,实现侦察流程的自动化与高效精简。通过自动化完成子域名发现、开放端口扫描及Web应用截图采集等工作,该工具可大幅缩减人工侦察任务所需的时间与人力投入。本方案可为侦察工作提供高效且具备可扩展性的实现路径,帮助网络安全从业者在极短时间内获取准确且全面的侦察结果。
提供机构:
Mozhi M, Arul; P, Dhanueshwari; M.E, Mrs.Suganya; K R, Darmick
创建时间:
2025-04-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作