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Identifying potentially offending content using associations

机译:使用关联标识潜在的冒犯内容

摘要

Methods for identifying potentially harmful, malicious, or unwanted content based upon associations with known offenders are provided. Executable content associated with a domain is identified. The executable content URL and the domain are compared to URLs/domains known to be associated with malicious content. If the URL and/or the domain has been identified as associated with offending code, the remaining domain contents and any available associated information are examined to identify any referencing domains, referenced domains, linking domains, affiliated entities, etc. Each identified domain, affiliate, etc. is subsequently examined in a similar manner to identify any domain, entity, etc. having an association with malicious content. Each identified domain, entity, etc. is assigned a suspicion level based upon proximity to the source of the offending code. If desired, relationships among the domains, entities, and the like may be relationally mapped to render associations easier to identify.
机译:提供了基于与已知犯罪者的关联来识别潜在有害,恶意或有害内容的方法。标识与域关联的可执行内容。将可执行内容URL和域与已知与恶意内容相关联的URL /域进行比较。如果已将URL和/或域标识为与违规代码关联,则将检查其余域内容和任何可用的关联信息,以标识任何引用域,被引用域,链接域,关联实体等。每个已识别域,关联会员随后以类似的方式检查等等,以识别与恶意内容相关联的任何域,实体等。根据与违规代码源之间的接近程度,为每个标识的域,实体等分配一个可疑级别。如果需要,可以将域,实体等之间的关系进行映射,以使关联更易于识别。

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