网络安全管理网站内容篡改事件数据

1. 安全管理 - 安全管理平台/态势感知 安全管理平台内置实时篡改监控告警，提供网站篡改详细日志（时间戳、内容变动、入侵来源），支持快速响应保障网站稳定。态势感知系统基于事件库进行关联分析与趋势预测，揭示潜在攻击模式，为防御策略提供支持。 2. 端点安全 - 终端防病毒 终端防病毒软件集成篡改事件库，实时检测清除与篡改相关的恶意软件，防止病毒扩散。 3. 端点安全 - 终端安全管理 终端安全管理软件利用篡改事件库监控终端网络行为与浏览器活动，限制访问与下载降低篡改风险，保障数据安全。 4. 端点安全 - 主机/服务器加固 主机/服务器加固过程中，篡改事件库提供详尽攻击信息，指导安全团队进行针对性加固（安全补丁更新、端口管理、访问权限控制），降低被篡改风险。 5. 应用安全 - 网页防篡改 网页防篡改系统实时监控页面，检测到篡改立即恢复加固，确保内容完整真实。结合事件库进行风险预警与防范。 6. 应用安全 - Web应用安全扫描及监控 Web应用安全扫描及监控工具利用篡改事件库数据深度扫描Web应用，发现潜在风险并提供修复建议。1、数据采集：通过自研垂直搜索引擎获取到网站的域名、网站请求地址、网站内容、网站源代码等字段
2、数据处理：通过大数据平台利用hive、spark等技术手段对数据进行清洗过滤，对手机字段进行校验和归一化处理
3、数据加工：对清洗完的数据通过NLP微调模型进行检测和识别，最终通过AI模型识别到网页篡改的页面
4、数据应用：实时帮助客户发现网站篡改事件，发现网站失陷情况，及时处置消除恶意影响、及时止损；协助网络安全主管单位，发现网络监管辖区内的网络攻击事件，并且进行及时通报预警、协助处置，更好的做好辖区网络安全管理工作。

1. Security Management - Security Management Platform/Situation Awareness: The security management platform is equipped with built-in real-time tampering monitoring and alerting, providing detailed logs of website tampering (including timestamp, content changes, and intrusion source), which supports rapid response to ensure website stability. The situation awareness system performs correlation analysis and trend prediction based on the tampering event library, reveals potential attack patterns, and provides support for formulating defense strategies.
2. Endpoint Security - Endpoint Antivirus: The endpoint antivirus software integrates the tampering event library, detects and removes tampering-related malware in real time, preventing the spread of viruses.
3. Endpoint Security - Endpoint Security Management: The endpoint security management software uses the tampering event library to monitor terminal network behaviors and browser activities, restricts access and downloads to reduce tampering risks, and ensures data security.
4. Endpoint Security - Host/Server Hardening: During the host/server hardening process, the tampering event library provides detailed attack information, guiding the security team to conduct targeted hardening operations including security patch updates, port management, and access permission control, so as to reduce the risk of being tampered with.
5. Application Security - Website Defacement Protection: The website defacement protection system monitors web pages in real time, and will immediately restore and harden once tampering is detected, ensuring the integrity and authenticity of page content. It combines with the event library to carry out risk early warning and prevention.
6. Application Security - Web Application Security Scanning and Monitoring: The web application security scanning and monitoring tool uses the data from the tampering event library to conduct in-depth scanning of web applications, discover potential risks, and provide repair suggestions.
1. Data Collection: Obtain fields including website domain names, website request addresses, website content, and website source code via a self-developed vertical search engine.
2. Data Preprocessing: Clean, filter and conduct verification and normalization on the collected data using big data technologies including Hive and Spark.
3. Data Processing & Enhancement: Detect and recognize the cleaned data through an NLP fine-tuned model, and finally identify tampered web pages via the AI model.
4. Data Application: Real-time assist customers in discovering website tampering incidents and website compromises, take timely actions to eliminate malicious impacts and minimize losses; assist network security regulatory authorities in detecting cyber attack incidents within their supervision jurisdictions, conduct timely notification and early warning, assist in incident disposal, and better carry out network security management work in their jurisdictions.