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    • 2. 发明申请
    • SYSTEM AND METHOD FOR PERIODICALLY INSPECTING MALICIOUS CODE DISTRIBUTION AND LANDING SITES
    • 定期检查恶意代码分配和登陆站点的系统和方法
    • US20140130167A1
    • 2014-05-08
    • US14062016
    • 2013-10-24
    • KOREA INTERNET & SECURITY AGENCY
    • Tai Jin LEEByung Ik KIMHong Koo KANGChang Yong LEEJi Sang KIMHyun Cheol JEONG
    • H04L29/06
    • H04L63/1408H04L63/0227H04L63/145
    • A system and method for periodically inspecting malicious code distribution and landing sites, which receives a malicious-suspected URL from a management server; collects a file which is created when the malicious-suspected URL is connected and self-inspecting existence of the malicious code in the collected file using a commercial vaccine; traces, if a malicious code is detected in the collected file, a final distribution site distributing the detected malicious code; confirms information on a landing site connected to the final distribution site and registering the final distribution site and the landing site in a landing/distribution site database; confirms whether or not the final distribution site and the landing site registered in the landing/distribution site database are connectible; and updates the landing/distribution site database according to whether or not the final distribution site and the landing site are connectible.
    • 一种用于定期检查恶意代码分发和着陆站点的系统和方法,从管理服务器接收恶意的可疑URL; 收集恶意可疑URL连接时创建的文件,并使用商业疫苗自动检测收集的文件中的恶意代码; 跟踪,如果在收集的文件中检测到恶意代码,最终分发站点分发检测到的恶意代码; 确认连接到最终分发站点的着陆站点的信息,并将最终分发站点和着陆站点注册到着陆/分发站点数据库中; 确认登陆/发布站点数据库中注册的最终分发站点和登陆站点是否可连接; 并根据最终分配站点和着陆站点是否可连接来更新登陆/分发站点数据库。
    • 3. 发明申请
    • METHOD OF INSPECTING MASS WEBSITES AT HIGH SPEED
    • 检测高速网站的方法
    • US20140143866A1
    • 2014-05-22
    • US14065706
    • 2013-10-29
    • Korea Internet & Security Agency
    • Tai Jin LEEByung Ik KIMHong Koo KANGChang Yong LEEJi Sang KIMHyun Cheol JEONG
    • H04L29/06
    • H04L63/1483H04L67/02H04L2463/146
    • Disclosed is a method of inspecting mass websites at a high speed, which visits and inspects the mass websites at a high speed and, at the same time, correctly detects unknown attacks, detection avoidance attacks and the like and extracts URLs related to vulnerability attacks. The method of inspecting mass websites at a high speed includes the steps of: simultaneously visiting, if a list of inspection target websites is received, a plurality of inspection target websites using multiple browsers; inspecting whether or not malicious code infection is attempted at the plurality of inspection target websites visited through the multiple browsers; extracting a malicious website where the attempt of malicious code infection is generated among the plurality of inspection target websites; and visiting the malicious website and tracing a malicious URL distributing a malicious code.
    • 披露了高速检查大众网站的方法,高速访问和检查群众网站,同时正确检测未知攻击,检测避免攻击等,并提取与漏洞攻击有关的URL。 高速检查大众网站的方法包括:同时访问如果收到检查对象网站的列表,则使用多个浏览器的多个检查对象网站; 检查通过多个浏览器访问的多个检查对象网站是否尝试恶意代码感染; 提取在多个检查目标网站之间产生恶意代码感染尝试的恶意网站; 并访问恶意网站并跟踪恶意的恶意URL分发恶意代码。
    • 4. 发明申请
    • SYSTEM FOR IDENTIFYING MALICIOUS CODE OF HIGH RISK
    • 识别高风险恶性代码的系统
    • US20140137251A1
    • 2014-05-15
    • US14065781
    • 2013-10-29
    • KOREA INTERNET & SECURITY AGENCY
    • Tai Jin LEEByung Ik KIMHong Koo KANGChang Yong LEEJi Sang KIMHyun Cheol JEONG
    • G06F21/56
    • G06F21/56G06F21/577H04L63/145
    • Disclosed is a system for identifying malicious codes of high risk. The system includes a statistical data creation module for creating statistical data by collecting and processing malicious codes by channel, ranking, period, type, re-infection and vaccine diagnosis; a trend data creation module for creating trend data by processing the collected malicious codes by channel, field and type; a malicious code filtering module for extracting the malicious code of high risk from the collected malicious codes based on priority information including a URL type, the number of distribution sites, the number of landing sites, a vaccine diagnosis rate and the number of reports; and a database for processing and storing the statistical data, the trend data and the malicious codes of high risk in a form of a graph, a pie chart and a table.
    • 公开了一种识别高风险恶意代码的系统。 该系统包括统计数据创建模块,用于通过渠道,排名,期间,类型,再感染和疫苗诊断收集和处理恶意代码来创建统计数据; 趋势数据创建模块,用于通过信道,字段和类型处理所收集的恶意代码来创建趋势数据; 一种恶意代码过滤模块,用于基于URL类型,分发站点数量,登陆站点数量,疫苗诊断率和报告数量等优先级信息,从收集的恶意代码中提取高风险的恶意代码; 以及用于以图形,饼图和表格的形式处理和存储高风险的统计数据,趋势数据和恶意代码的数据库。