Webshell detection method based on image analysis, terminal equipment and storage medium
A technology of image analysis and detection methods, applied in image analysis, image data processing, instruments, etc., which can solve the problem of detection of false negative rate and false positive rate that cannot cross domains, bottlenecks, well-defined behavioral characteristics and complete coverage of risk models and other issues to achieve the effect of improving detection performance, avoiding manual maintenance, and avoiding linear growth
Pending Publication Date: 2021-06-25
XIAMEN FUYUN INFORMATION TECH CO LTD
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The invention relates to a Webshell detection method based on image analysis, terminal equipment and a storage medium. The method comprises the following steps: S1, collecting a plurality of normal and abnormal Webshell samples; S2, according to the collected Webshell samples and the Opcode sequence and the Opcode frequency of the Webshell to be detected, generating a corresponding RGB image; S3, calculating the distance between the RGB image of the to-be-tested Webshell and the RGB image of each Webshell sample, sorting the Webshell samples according to the sequence of the distances from small to large, selecting the first N Webshell samples from the sorting result, judging the types of the first N Webshell samples, and taking the type with the maximum corresponding number as the type of the to-be-tested Webshell. According to the method, the malicious behavior of the Webshell is represented by the Opcode feature, the two-dimensional gray level image is generated by using the Opcode sequence, and then the RGB image is synthesized by combining the gray level image generated by the Opcode frequency, so that the malicious behavior of the Webshell can be represented more completely, and the detection performance is improved.
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