Website recognition method and device

A website and phishing website technology, applied in the computer field, can solve the problem of low accuracy rate, achieve the effect of improving accuracy rate, overcoming low accuracy rate, and expanding the recognition range

Active Publication Date: 2017-09-26
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Embodiments of the present invention provide a website identification method and device to at least solve the technical problem of low accuracy existing in existing website identification technologies

Method used

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  • Website recognition method and device
  • Website recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] According to an embodiment of the present invention, an embodiment of a method for identifying a website is provided, and the method for identifying a website can be applied to, but not limited to, such as figure 1 In the shown application environment, the detection server 102 obtains the webpage image on the website to be detected from the server 106 to be detected where the website to be detected is located through the network 104, and inputs the vector formed by the pixel values ​​of the predetermined area in the webpage image to the pre-established The target neural network is used to obtain an output result, wherein the target neural network is used to identify a phishing website; the detection server 102 identifies whether the website to be detected is a phishing website according to the output result. Optionally, in this embodiment, the foregoing network may include but not limited to at least one of the following: a wide area network, a metropolitan area network,...

Embodiment 2

[0118] According to an embodiment of the present invention, a website identification device for implementing the above website identification method is also provided, such as Figure 5 As shown, the device includes:

[0119] 1) an acquisition unit 502, configured to acquire a webpage image on the website to be detected;

[0120] 2) The input unit 504 is used to input the vector formed by the pixel values ​​of the predetermined area in the web page image into the pre-established target neural network to obtain an output result, wherein the target neural network is used to identify phishing websites;

[0121] 3) The identification unit 506 is configured to identify whether the website to be detected is a phishing website according to the output result.

[0122] Optionally, in this embodiment, the above-mentioned website identification device can be applied to, but not limited to, the process of identifying phishing websites, by obtaining the webpage image on the website to be d...

Embodiment 3

[0209] According to an embodiment of the present invention, a website identification server for implementing the above website identification method is also provided, such as Image 6 As shown, the server includes:

[0210] 1) The communication interface 602 is configured to acquire webpage images on the website to be detected;

[0211] 2) The processor 604 is connected with the communication interface 602, and is configured to input the pixel value of the predetermined area in the webpage image into the pre-established target neural network to obtain an output result, wherein the target neural network is used to identify phishing websites; it is also set to Identify whether the website to be detected is a phishing website according to the output result;

[0212] 3) The memory 606, connected to the communication interface 602 and the processor 604, is configured to store the web page images on the website to be detected, the pre-established target neural network and the obtai...

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PUM

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Abstract

The invention discloses a website recognition method and device. The method comprises the steps: obtaining page image on a to-be-detected website; inputting a vector formed by the pixel values of a preset region in a webpage image into a pre-built target neural network, and obtaining an output result, wherein the target neural network is used for recognizing a phishing website; and recognizing whether the to-be-detected website is a phishing website or not according to an output result. The method solves a technical problem that a conventional website recognition technology is lower in accuracy.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a method and device for identifying a website. Background technique [0002] Currently, traditional phishing website identification technologies usually include the following: [0003] 1) Blacklist-based technology: uniformly record the Uniform Resource Locators (Uniform ResourceLocation, URL) of the found phishing websites into a blacklist, so as to use the blacklist to judge whether the website to be detected is a phishing website. However, since the life cycle of phishing websites is usually very short, it is easy to camouflage phishing websites by frequently changing domain names and IP addresses; [0004] 2) Method based on website content recognition: extract the web content of the website to be detected, such as JavaScript script, title, text content, layout, etc. If it contains the characteristics of a phishing website, it is determined to be a phishing website. But by...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L29/08
CPCH04L63/1416H04L63/1483H04L67/02
Inventor 申瑞珉
Owner TENCENT TECH (SHENZHEN) CO LTD
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