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Automatic Inline Detection based on Static Data

机译:基于静态数据的自动在线检测

摘要

Examples of the present disclosure describe systems and methods of automatic inline detection based on static data. In aspects, a file being received by a recipient device may be analyzed using an inline parser. The inline parser may identify sections of the file and feature vectors may be created for the identified sections. The feature vectors may be used to calculate a score corresponding to the malicious status of the file as the information is being analyzed. If a score is determined to exceed a predetermined threshold, the file download process may be terminated. In aspects, the received files, file fragments, feature vectors and/or additional data may be collected and analyzed to build a probabilistic model used to identify potentially malicious files.
机译:本公开的示例描述了基于静态数据的自动在线检测的系统和方法。在各方面中,可以使用内联解析器来分析由接收方设备接收的文件。内联解析器可以标识文件的部分,并且可以为所标识的部分创建特征向量。特征向量可用于在信息被分析时计算与文件的恶意状态相对应的分数。如果确定分数超过预定阈值,则可以终止文件下载过程。在各方面中,可以收集并分析所接收的文件,文件片段,特征向量和/或附加数据,以建立用于识别潜在的恶意文件的概率模型。

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