Webshell detection method based on deep neural network, and system thereof
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING ANPRO INFORMATION TECH
- Publication Date
- 2017-12-26
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Abstract
Description
technical field
[0001] The invention relates to the technical field of information security, in particular to a WebShell detection method based on an abstract syntax tree-based recursive cyclic neural network and a system thereof. Background technique
[0002] WebShell is a command execution environment that exists in the form of web pages, and is often used by intruders as a backdoor tool for operating web servers. The attacker obtains the management authority of the Web service through the WebShell, thereby achieving the penetration and control of the Web application.
[0003] Since the characteristics of WebShell and ordinary Web pages are almost the same, it can evade the detection of traditional firewalls and antivirus software. Moreover, with the application of various anti-detection feature obfuscation and concealment technologies to WebShell, it is difficult to detect new variants in a timely manner by traditional detection methods based on signature matching. [0...