Webpage verification code element identification method

Abstract

The invention discloses a webpage verification code element identification method, which comprises the steps of obtaining website page source code through a web crawler, andchecking if the page source code has a <form> tag; retrieving a characteristic keyword in the <form> tag; searching a tag <input> adjacent to the characteristic keyword, and determining if the tag "type" attribute is "text"; taking the <input> tag as a reference, and searching the tag recursively to upward and downward adjacent tags in order; retrieving onclick event in the tag, and extracting onclick event attribute value; coupling create_code () function content in javascript code, adding a string of digital random value to a tag src attribute value to submit in a parameter form; retrieving onclick event content, coupling javascript function content to generate a random value, a date at present, and a time stamp at present; and simulating and executing the onclick event, hereby determining if the img content is the picture identifying code. By search the tags adjacent to the characteristic keyword, the object retrieval scope is greatly reduced, and searching efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of web page verification code identification, in particular to a method for identifying verification code elements in a web page. Background technique [0002] Verification code technology is usually applied to website pages involving login and input in WEB systems. The general method of realizing the verification code technology is: display a verification code image on the website page, let the user visually recognize the verification code, and input the verification code into a form to submit to the website for verification. Verification codes are random and difficult to be recognized by automatic tools. When a user visits a website page using verification code technology, he will get a randomly generated different verification code every time he visits the website page. These verification codes can be recognized manually, but it is difficult to be recognized by automatic recognition tools. [0003] The ...

AI Technical Summary

Problems solved by technology

[0004] Because all the images in the web pages of the website are obtained, and the recognition process is too complicated, the obtained graphics need to be expressed numerically first, that is, a series of numerical tables will be generated through a certain algorithm, so in the case of a large number of websites or too many pictures on a single website In this case, the picture verification code cannot be accurately located, but all pictures on the website need to be filtered one by one, which will reduce the recognition efficiency

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