CN114629814A - Website analysis method and device - Google Patents

Website analysis method and device Download PDF

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Publication number
CN114629814A
CN114629814A CN202210125617.0A CN202210125617A CN114629814A CN 114629814 A CN114629814 A CN 114629814A CN 202210125617 A CN202210125617 A CN 202210125617A CN 114629814 A CN114629814 A CN 114629814A
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China
Prior art keywords
domain name
website
analysis
task
analyzed
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CN202210125617.0A
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Chinese (zh)
Inventor
吴运波
高雷
邢志杰
毛伟
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INTERNET DOMAIN NAME SYSTEM BEIJING ENGINEERING RESEARCH CENTER
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INTERNET DOMAIN NAME SYSTEM BEIJING ENGINEERING RESEARCH CENTER
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Priority to CN202210125617.0A priority Critical patent/CN114629814A/en
Publication of CN114629814A publication Critical patent/CN114629814A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/06—Generation of reports
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0823—Network architectures or network communication protocols for network security for authentication of entities using certificates
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/30—Network architectures or network communication protocols for network security for supporting lawful interception, monitoring or retaining of communications or communication related information

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Computer Hardware Design (AREA)
  • Computer Security & Cryptography (AREA)
  • Computing Systems (AREA)
  • Technology Law (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The application provides a website analysis method and a website analysis device, wherein the method comprises the following steps: automatically combining and expanding related domain names according to the website domain names and the link depths input by the user to obtain domain name tasks to be analyzed and storing the domain name tasks to a database; and regularly extracting a domain name task to be analyzed from the database for analysis, wherein the analysis comprises the following steps: inquiring whois information of the domain name, detecting whether to build a station, performing station building screenshot, whether to open an SSL certificate, and finally returning an analysis result. According to the website analysis method and device, the web page is crawled according to the website domain name and the link depth filled by the user, the domain name is automatically combined and expanded to form different domain name combinations, a domain name task to be analyzed is formed, a background server scans the task at regular time, whois information inquiry, detection of whether to build a website or not, website screenshot, whether to start SSL or not and the like are sequentially carried out according to a set flow, and finally an analysis report is generated for the user to look up and download.

Description

Website analysis method and device
Technical Field
The present application relates to the field of internet technologies, and in particular, to a method and an apparatus for analyzing a website, a computer device, and a storage medium.
Background
At present, when a website domain name whois is queried, only a single domain name data can be queried, and more domain name information nested in a current website cannot be acquired. For example, operations such as whois information query, whether to detect a website establishment, whether to enable an SSL certificate, screenshot on a website establishment domain name, and the like are processed separately, and a complete chain cannot be formed.
In addition, when domain name crawling is performed on the second level, the third level and the like of the webpage, only the domain name can be analyzed according to the < a href > tag (the href attribute of the < a > tag is used for specifying the URL of the hyperlink target), the domain name cannot be used up for all related domain name information in the webpage, and the crawling information is incomplete.
Therefore, how to design a website capable of automatically and completely analyzing all related domain names of users is a technical problem to be solved at present.
Disclosure of Invention
Based on this, it is necessary to provide a website analysis method, device, computer device and storage medium for solving the above technical problems, and by establishing a timing analysis task, automatically perform integrity analysis of a whole industry chain on all combined domain names stored in a database according to whois query, detection of whether to establish a website, whether to establish a website screenshot, whether to start SSL, and the like, and provide an analysis report.
In a first aspect of the present invention, a website analysis method is provided, including:
automatically performing combined expansion on related domain names according to the website domain name and the link depth input by a user to obtain a domain name task to be analyzed and storing the domain name task to a database;
and regularly extracting a domain name task to be analyzed from the database for analysis, wherein the analysis comprises the following steps: inquiring whois information of the domain name, detecting whether to build a website, building a screenshot, whether to open an SSL certificate, and finally returning an analysis result.
Further, the combined extension includes: and combining the domain name keywords and the TLD in different modes to form different domain names to be analyzed.
And further, returning the generated analysis result to the database, and inquiring the detection result and downloading the task attachment from the browser by the user.
Further, the link depth includes a secondary link and a tertiary link.
Further, the background server monitors whether the browser has a new analysis task created by the user in real time, and automatically crawls the related domain name when the browser has the new task.
Further, a domain name address input by the user in the browser is crawled through PhantomJS, and screenshot is conducted on the website which is built.
In a second aspect of the present invention, there is provided an analysis apparatus for a website, comprising:
the task generating module is used for automatically carrying out combined expansion on related domain names according to the website domain name and the link depth input by the user to obtain a domain name task to be analyzed and storing the domain name task to the database;
the task analysis module extracts the domain name task to be analyzed from the database at regular time for analysis, and the analysis comprises the following steps: inquiring the whois information of the domain name, performing website screenshot, detecting whether to build a website or not, detecting whether to open an SSL certificate or not, and finally returning an analysis result.
In a third aspect of the invention, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing one of the methods according to the first aspect of the invention when executing the computer program.
In a fourth aspect of the invention, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out one of the methods according to the first aspect of the invention.
Firstly, after a domain name analysis task is created in a browser by a user, a system crawls a webpage according to a website domain name and link depth filled by the user and automatically returns related domain names to be combined and expanded to obtain domain names with different combinations, then the domain name tasks to be analyzed are formed and stored in a database, a background server scans the tasks to be analyzed at regular time and extracts unprocessed tasks in the database, whois information inquiry, detection of whether to build a website, website screenshot, whether to start SSL and other information are sequentially carried out according to a set flow, and a final analysis report is generated and returned to the browser end for the user to look up and download.
Drawings
Fig. 1 is a flowchart illustrating a website analysis method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of the website analysis method according to the embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an analysis apparatus for a website according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a computer device in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application. Moreover, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
The terminology used herein is for the purpose of describing various embodiments of the invention only and is not intended to be limiting of the invention. The singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. In the present invention, it is to be understood that the terms "comprises" or "comprising" indicate the presence of the features, numbers, steps, operations, elements, components or combinations thereof, and do not preclude the presence or addition of one or more other features, numbers, steps, operations, elements, components or combinations thereof.
Example one
Referring to fig. 1 and 2, an embodiment of the present invention provides a method for analyzing a website, where the method includes:
step S1, the user creates a domain name analysis task at the browser end.
Specifically, the user fills in a website domain name and a link depth to be analyzed at the browser end, where the link depth includes a second-level domain name and a third-level domain name.
Step S2, the background server automatically monitors whether a new updated domain name analysis task exists, automatically crawls and acquires all domain names according to the website domain name and the link depth filled by the user when the new task exists, combines domain name keywords, TLD (top level domain), domain name prefix identifiers and the like in different modes to form domain name tasks to be analyzed in different combinations, and stores the domain name tasks to the database cluster.
Illustratively, the domain name address of the secondary or tertiary link entered by the user in the browser may be crawled through PhantomJS. PhantomJS is a JavaScript API based on webkit. It uses the QtWebKit as the function of the core browser, and uses webkit to compile, interpret and execute JavaScript code. It can do anything that can be done in a webkit-based browser. It is not only a hidden browser, providing features such as CSS selector, supporting Web standards, DOM operations, JSON, HTML5, Canvas, SVG, etc., but also provides operations to handle file I/O so you can read and write files to the operating system, etc. PhantomJS can be used very widely, such as Web monitoring, Web page screenshot, browser-free Web testing, page access automation, and the like.
Specifically, in the prior art, when crawling the second-level and third-level domain names of the web page, only the < ahref > tag is used for analysis, and all domain name information in the web page cannot be exhausted. In the application, different forms of combination are carried out on the extracted domain name keywords and the TLD, and other websites associated with the domain name of the user are contained to the greatest extent possible. Com is the domain name required to be analyzed and input by the user, and the domain name keyword is baidu, which is expanded to be: ibaidu, ba1du, baadu, etc., the way of keyword extension may be based on the way of website emulation commonly used at present, the TLD extension is to extend the top-level domain after the keyword, including com, cn, co, vip, biz, etc., and the extension of domain name prefix identifier mainly includes some extensions of http, https, www. Different types of domain names are formed by combining different domain name prefix identifiers with different domain name keywords and different top-level domains, so that various combinations of web addresses associated with domain names of users of the organization can be covered. The link address can be extracted through an onclick tag, the onclick event of the link is executed first, and then an action (page jump, or javascript pseudo link) under the attribute of href, assuming that href and onclick exist in the link at the same time, if the action execution under the attribute of href is not wanted, the onclick needs to get a return value of false, and generally, the onclick is written as "xxx (); return false; ".
And step S3, the background server scans the database at regular time, and extracts the unprocessed task to be analyzed from the database for analysis.
Specifically, the analysis process comprises: querying whois information of the domain name, and detecting whether the domain name is registered; if the domain name is registered, further detecting whether the corresponding domain name website is established, using http and https protocol combination for a certain domain name, when an URL object is established and a link is opened by openconnection (), and when the request returns a state code of 200, successfully responding, and considering that the domain name is established; if the station is established, performing station establishing screenshot; and then, whether the SSL certificate is opened or not is continuously detected, wherein SSL is a network transmission security protocol, so that the related SSL certificate needs to be configured in normal use of the website. And SSL has the functions of server authentication and data transmission encryption, so the domain name certificate also has the function of related transmission security. The domain name SSL certificate is specific to the owner of domain name registration, and is expressed in the format of an electronic certificate, which indicates the contents of the registered domain name, the chinese and english names of the owner of the domain name, the registration time and the expiration time of the domain name. The maximum function of the SSL certificate is to ensure information security.
Illustratively, the background server sequentially extracts the domain names to be analyzed from the database according to the sequence of the combination and the message queue mode to perform the correspondence detection analysis.
And step S4, returning detection results such as the query whois information, whether the website is established, the website establishment screenshot, whether the SSL certificate is opened and the like to the database, packaging the website establishment screenshot and uploading the website establishment screenshot to a file server, and allowing a user to download the completed task attachment in a browser and check the whois information, the website screenshot, the SSL information and the like.
According to the method, whois information inquiry, detection of the site establishment condition, whether SSL certificates are started or not, website screenshot and other operations are used as a complete flow process, the domain name can be input into a browser, the system can automatically crawl all secondary domain names/tertiary domain names of domain name webpages, different forms of combination are carried out on the domain names, whois inquiry in batches is carried out, whether the domain names are established, whether the SSL certificates are started or not, screenshot is carried out on the established domain names, and a downloading screenshot function is provided.
Example two
Referring to fig. 3, a second embodiment of the present invention provides an apparatus for analyzing a website, including: a task generating module and a task analyzing module, wherein,
the task generation module is used for automatically carrying out combined expansion on related domain names according to the website domain name and the link depth input by the user to obtain a domain name task to be analyzed and storing the domain name task to the database;
the task analysis module extracts the domain name task to be analyzed from the database at regular time for analysis, and the analysis comprises the following steps: inquiring the whois information of the domain name, performing website screenshot, detecting whether to build a website or not, detecting whether to open an SSL certificate or not, and finally returning an analysis result.
For specific limitations of the analysis apparatus for the website in this embodiment, reference may be made to the above limitations on the analysis method for the website, which are not described herein again. The modules in the analysis device of the website can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
EXAMPLE III
The third embodiment of the invention provides a computer device, and the internal structure diagram of the computer device can be shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The nonvolatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with other terminals or services via a network connection. The computer program is executed by a processor to implement a method of analyzing a web site. Wherein the computer device may be a server, the server may further include a database, and the database of the server may store the pre-trained classification model. The computer equipment can also be a terminal, the terminal can also comprise a display screen and an input device, the display screen of the terminal can be a liquid crystal display screen or an electronic ink display screen, the input device of the terminal can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like, and also can be a voice recognition device or a character recognition device.
Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the method of analyzing a website as described above. Here, the steps of the analysis method of the website may be steps in the analysis method of the website of the above embodiments: automatically combining and expanding related domain names according to the website domain names and the link depths input by the user to obtain domain name tasks to be analyzed and storing the domain name tasks to a database; and regularly extracting a domain name task to be analyzed from the database for analysis, wherein the analysis comprises the following steps: inquiring whois information of the domain name, detecting whether to build a station, building a station screenshot, whether to open an SSL certificate, and finally returning an analysis result.
Example four
In a fourth embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, and when the computer program is executed by a processor, the processor is enabled to execute the steps of the analysis method for the website. Here, the steps of the analysis method of the website may be steps in the analysis method of the website of the above embodiments: automatically combining and expanding related domain names according to the website domain names and the link depths input by the user to obtain domain name tasks to be analyzed and storing the domain name tasks to a database; and regularly extracting a domain name task to be analyzed from the database for analysis, wherein the analysis comprises the following steps: inquiring whois information of the domain name, detecting whether to build a station, building a station screenshot, whether to open an SSL certificate, and finally returning an analysis result.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (9)

1. A method for analyzing a website, comprising:
automatically combining and expanding related domain names according to the website domain names and the link depths input by the user to obtain domain name tasks to be analyzed and storing the domain name tasks to a database;
and regularly extracting a domain name task to be analyzed from the database for analysis, wherein the analysis comprises the following steps: inquiring whois information of the domain name, detecting whether to build a station, building a station screenshot, whether to open an SSL certificate, and finally returning an analysis result.
2. The method of claim 1, wherein the combining extension comprises: and combining the domain name keywords and the TLD in different modes to form different domain names to be analyzed.
3. The method of claim 2, wherein the generated analysis results are returned to the database, and the user refers to the analysis results from the browser side and downloads task attachments.
4. The method of claim 1, wherein the link depth comprises a secondary link and a tertiary link.
5. The method of claim 1, wherein the background server monitors the browser in real time for new analysis tasks created by the user and automatically crawls related domain names when new tasks are available.
6. The method of claim 1 or 5, wherein a domain name address entered by a user in a browser is crawled by PhantomJS, and a screenshot is taken of a website that has been built.
7. An apparatus for analyzing a web site, comprising:
the task generating module is used for automatically carrying out combined expansion on related domain names according to the website domain name and the link depth input by the user to obtain a domain name task to be analyzed and storing the domain name task to the database;
the task analysis module extracts the domain name task to be analyzed from the database at regular time for analysis, and the analysis comprises the following steps: inquiring the whois information of the domain name, performing website screenshot, detecting whether to build a website or not, detecting whether to open an SSL certificate or not, and finally returning an analysis result.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 6 are implemented when the computer program is executed by the processor.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
CN202210125617.0A 2022-02-10 2022-02-10 Website analysis method and device Pending CN114629814A (en)

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CN111010456A (en) * 2019-11-22 2020-04-14 哈尔滨工业大学（威海） Main domain name acquisition and verification method
CN112118328A (en) * 2020-08-17 2020-12-22 互联网域名系统北京市工程研究中心有限公司 Method and system for inquiring and analyzing brand domain name registration information
CN112804370A (en) * 2020-12-29 2021-05-14 互联网域名系统北京市工程研究中心有限公司 Method and system for analyzing fraud websites

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107517193A (en) * 2016-06-17 2017-12-26 百度在线网络技术（北京）有限公司 Malicious websites recognition methods and device
CN106302440A (en) * 2016-08-11 2017-01-04 国家计算机网络与信息安全管理中心 A kind of method obtaining suspicious fishing website by all kinds of means
CN108062413A (en) * 2017-12-30 2018-05-22 平安科技（深圳）有限公司 Web data processing method, device, computer equipment and storage medium
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