CN110764784A - Method for identifying three-party SO file, intelligent terminal and storage medium - Google Patents
Method for identifying three-party SO file, intelligent terminal and storage medium Download PDFInfo
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- CN110764784A CN110764784A CN201911017439.4A CN201911017439A CN110764784A CN 110764784 A CN110764784 A CN 110764784A CN 201911017439 A CN201911017439 A CN 201911017439A CN 110764784 A CN110764784 A CN 110764784A
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Abstract
The invention discloses a method for identifying a three-party SO file, an intelligent terminal and a storage medium, wherein a newly-built application basic information table stores acquired application basic information, a newly-built application analysis result table stores application analysis results, and a newly-built three-party SO file dictionary table stores identified three-party SO file information; performing decompiling on the application to obtain SO files, calculating each SO file MD5, and storing the SO files into an application analysis result table; counting the occurrence times of the same files MD5 among different applications, and sequencing all the same files MD5 according to the repetition times; storing the MD5 judged as the three-party SO file into a three-party SO file dictionary table; and acquiring the reference condition of the application of different three-party SO files according to the occurrence times of the same file MD5 among different applications. According to the method, the three-party SO files quoted in the application are automatically identified by analyzing a large number of applications, the three-party SO files with high application citation frequency are collected, and the cost for collecting the three-party SO file data is effectively reduced.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a method for identifying a three-party SO file, an intelligent terminal and a storage medium.
Background
The development of the mobile application is inseparable from SO files (SO files are dynamic link libraries, binary files, namely ELF files, are mostly used in NDK development), a large number of three-party SO files can be referred while a large number of mobile applications are developed, the three-party SO files introduced in the application are identified, when the number of the collected three-party SO files reaches a certain number (the number is influenced by the number of the analyzed mobile applications, the more analysis is carried out, the more collection is carried out), the three-party SO files integrally referred by the internet mobile application can be known, the collected three-party SO files are analyzed and screened, the condition that the mobile application refers to the three-party SO files is mastered, and the method for automatically identifying the three-party SO files referred by the application is particularly necessary.
In the prior art, a large number of SO files embedded in mobile application recognition application are analyzed, and the defects exist that the accuracy of SO file recognition is reduced due to the fact that the number of times of reference of the SO files in different applications is reduced, and in the prior art, three-party SO files referenced in an application package are analyzed.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
In view of the foregoing defects in the prior art, a primary object of the present invention is to provide a method, an intelligent terminal and a storage medium for identifying a three-party SO file, and to achieve the foregoing object, the present invention provides a method for identifying a three-party SO file, including the following steps:
newly building an application basic information table for storing the acquired application basic information, newly building an application analysis result table for storing application analysis results, and newly building a three-party SO file dictionary table for storing the identified three-party SO file information;
decompiling the applications in the application basic information table through an application package decompilation tool to obtain SO files, calculating each SO file MD5, and storing the MD5 value of each SO file calculated by each application into the application analysis result table;
counting the occurrence times of the same files MD5 among different applications, and sequencing all the same files MD5 according to the repetition times;
judging the MD5 value with the occurrence frequency more than or equal to the preset frequency and the preset percentage before the occurrence frequency as the MD5 of the three-party SO file, and warehousing the MD5 as the unique identifier of the three-party SO file dictionary table into the three-party SO file dictionary table;
and acquiring the reference condition of the application of different three-party SO files according to the occurrence times of the same file MD5 among different applications.
Optionally, the method for identifying a three-party SO file, wherein the obtaining, according to the number of times that the same file MD5 appears between different applications, a case that different three-party SO files are referred to by an application, further includes:
and counting the reference proportion of each three-party SO file in the application, and acquiring the frequency of the three-party SO file used in the application.
Optionally, in the method for identifying a three-party SO file, the higher the repetition rate of the same SO file MD5 between different applications is, the more times the SO file is used is.
Optionally, in the method for identifying a three-party SO file, the application package decompiling tool is APKTool.
Optionally, the method for identifying a three-party SO file, wherein the preset number of times is 2.
Optionally, the method for identifying a three-party SO file, wherein the preset percentage is 80%.
In addition, to achieve the above object, the present invention further provides an intelligent terminal, wherein the intelligent terminal includes: the system comprises a memory, a processor and a program for identifying the three-party SO file, wherein the program for identifying the three-party SO file is stored on the memory and can run on the processor, and when the program for identifying the three-party SO file is executed by the processor, the steps of the method for identifying the three-party SO file are realized.
In addition, to achieve the above object, the present invention further provides a storage medium, wherein the storage medium stores a program for identifying a three-party SO file, and the program for identifying a three-party SO file realizes the steps of the method for identifying a three-party SO file as described above when being executed by a processor.
The method comprises the steps of establishing an application basic information table for storing acquired application basic information, establishing an application analysis result table for storing application analysis results, and establishing a three-party SO file dictionary table for storing identified three-party SO file information; decompiling the applications in the application basic information table through an application package decompilation tool to obtain SO files, calculating each SO file MD5, and storing the MD5 value of each SO file calculated by each application into the application analysis result; counting the occurrence times of the same files MD5 among different applications, and sequencing all the same files MD5 according to the repetition times; judging the MD5 value with the occurrence frequency more than or equal to the preset frequency and the preset percentage before the occurrence frequency as the MD5 of the three-party SO file, and warehousing the MD5 as the unique identifier of the three-party SO file dictionary table into the three-party SO file dictionary table; and acquiring the reference condition of the application of different three-party SO files according to the occurrence times of the same file MD5 among different applications. The method achieves the purpose of automatically identifying the three-party SO files quoted in the application by analyzing a large number of mobile applications, collects the three-party SO files with high Internet application citation frequency, and effectively reduces the cost for collecting the three-party SO file data.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of a method of identifying three-party SO documents in accordance with the present invention;
fig. 2 is a schematic operating environment diagram of an intelligent terminal according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the method for identifying a three-party SO file according to the preferred embodiment of the present invention includes the following steps:
step S10, an application basic information table is newly built for storing the acquired application basic information, an application analysis result table is newly built for storing the application analysis result, and a three-party SO file dictionary table is newly built for storing the identified three-party SO file information;
step S20, performing decompiling on the application in the application basic information table through an application package decompiling tool, acquiring SO files, calculating each SO file MD5, and storing the MD5 value of each SO file calculated by each application into the application analysis result table;
s30, counting the occurrence times of the same files MD5 among different applications, and sequencing all the same files MD5 according to the repetition times;
step S40, judging the MD5 value of the three-party SO file with the occurrence frequency more than or equal to the preset frequency and the preset percentage before the occurrence frequency as the MD5 of the three-party SO file, and storing the MD5 value as the unique identifier of the three-party SO file dictionary table into the three-party SO file dictionary table;
and step S50, acquiring the application reference condition of different three-party SO files according to the occurrence times of the same file MD5 among different applications.
The SO file is a Linux shared library file, the file format of the file is called an ELF file format, the Android operating system is based on the Linux system at the bottom layer, SO the SO file can run on an Android platform, the Android system also opens a C/C + + interface for developers to develop Native programs, and since the Java based on a virtual machine is easier to be decompiled by people, more and more applications use C/C + + as a programming language for the core codes and use SO files for calling upper JAVA codes to ensure safety.
Specifically, the method for identifying the three-party SO file comprises the following steps: analyzing SO files appearing in different applications to obtain an MD5 value of the SO file of each application, wherein if an SO file MD5 with a high repetition rate appears in the analysis results of a plurality of different applications, the possibility that the file is a three-party SO file is high; analysis of multiple different applications if one SO file MD5 appears only once, it cannot be concluded that this SO file is a three-party SO file; the higher the repetition rate of the same SO file MD5 between different applications (the more times the SO file is used), the higher the recognition rate.
Firstly, a database is created, specifically: and newly creating an application basic information table for storing the acquired application basic information. And newly building an application analysis result table for storing the application analysis result. And newly establishing a three-party SO file dictionary table for storing the identified three-party SO file information. The method mainly achieves the purposes of automatically identifying the three-party SO file information, establishing a relatively complete three-party SO file dictionary library and reducing the labor cost by analyzing a large number of mobile applications.
Then, decompiling the application in the application basic information table by an application package decompiling tool (for example, APKTool, which is an APK compiling tool provided by GOOGLE, can decompile and decompile the APK, and simultaneously, install a frame-res frame required by the decompiling system APK, clear the previous decompiling folder and other functions), SO as to obtain SO files, and calculate a file MD5 of each file; and storing the calculated value of the SO file MD5 in the application analysis result.
Finally, counting the occurrence times of the same files MD5 among different applications, and sequencing all the same files MD5 according to the repetition times; the number of occurrences is more than or equal to 2 (the same SO file MD 52 times appears in different applications, the file can be regarded as a three-party SO file, the specific judgment basis is that the file can be configured by a user in real-time application), and the MD5 value of 80% of the number of occurrences is judged as the MD5 of the three-party SO file (namely, the number of occurrences is more than or equal to 2, the repetition times of all the same SO files MD5 are subjected to several sequences, and the data of 80% of the top ranks are taken as the three-party SO to be stored in a three-party SO file dictionary table and are stored in the three-party SO file dictionary table as the unique identifier of the three-party SO file dictionary; according to the number of times of the same file MD5 appearing among different applications, the number of applications to which different three-party SO files are referred can be known.
Furthermore, the reference proportion of each three-party SO file in the mobile application is counted, SO that the three-party SO files which are heavily used in the mobile application are known. The embedding number proportion of each three-party SO in the mobile application is counted, the use proportion of various references is counted similarly, for example, the use proportion of the short-term video application is the first, then the embedding proportion statistics of the three-party SO may know that the embedding proportion of the three-party SO related to the streaming video processing may be the first, and the statistics of the embedding proportion is to know the use condition of different three-party SO.
The method achieves the purpose of automatically identifying the three-party SO files quoted in the application by analyzing a large number of mobile applications, collects the three-party SO files with high Internet application citation frequency, and effectively reduces the cost for collecting the three-party SO file data.
Further, as shown in fig. 2, based on the method for identifying a three-party SO file, the present invention also provides an intelligent terminal, which includes a processor 10, a memory 20 and a display 30. Fig. 2 shows only some of the components of the smart terminal, but it is to be understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead.
The memory 20 may be an internal storage unit of the intelligent terminal in some embodiments, such as a hard disk or a memory of the intelligent terminal. The memory 20 may also be an external storage device of the Smart terminal in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the Smart terminal. Further, the memory 20 may also include both an internal storage unit and an external storage device of the smart terminal. The memory 20 is used for storing application software installed in the intelligent terminal and various data, such as program codes of the installed intelligent terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 20 stores a program 40 for identifying a three-party SO file, and the program 40 for identifying a three-party SO file can be executed by the processor 10, SO as to implement the method for identifying a three-party SO file in the present application.
The processor 10 may be, in some embodiments, a Central Processing Unit (CPU), a microprocessor or other data Processing chip, and is configured to run program codes stored in the memory 20 or process data, such as executing the method for identifying a three-party SO file.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch panel, or the like in some embodiments. The display 30 is used for displaying information at the intelligent terminal and for displaying a visual user interface. The components 10-30 of the intelligent terminal communicate with each other via a system bus.
In one embodiment, the following steps are implemented when the processor 10 executes the program 40 identifying the three-way SO file in the memory 20:
newly building an application basic information table for storing the acquired application basic information, newly building an application analysis result table for storing application analysis results, and newly building a three-party SO file dictionary table for storing the identified three-party SO file information;
decompiling the applications in the application basic information table through an application package decompilation tool to obtain SO files, calculating each SO file MD5, and storing the MD5 value of each SO file calculated by each application into the application analysis result table;
counting the occurrence times of the same files MD5 among different applications, and sequencing all the same files MD5 according to the repetition times;
judging the MD5 value with the occurrence frequency more than or equal to the preset frequency and the preset percentage before the occurrence frequency as the MD5 of the three-party SO file, and warehousing the MD5 as the unique identifier of the three-party SO file dictionary table into the three-party SO file dictionary table;
and acquiring the reference condition of the application of different three-party SO files according to the occurrence times of the same file MD5 among different applications.
The obtaining of the application reference condition of different three-party SO files according to the occurrence times of the same file MD5 among different applications further comprises:
and counting the reference proportion of each three-party SO file in the application, and acquiring the frequency of the three-party SO file used in the application.
The higher the repetition rate of the same SO file MD5 between different applications, the more times the SO file is used.
The application package decompiling tool is APKTool.
The preset times are 2 times.
The preset percentage is 80%.
The invention also provides a storage medium, wherein the storage medium stores a program for identifying the three-party SO file, and the program for identifying the three-party SO file realizes the steps of the method for identifying the three-party SO file when being executed by a processor.
In summary, the present invention provides a method, an intelligent terminal and a storage medium for identifying a three-party SO file, where the method includes: newly building an application basic information table for storing the acquired application basic information, newly building an application analysis result table for storing application analysis results, and newly building a three-party SO file dictionary table for storing the identified three-party SO file information; decompiling the applications in the application basic information table through an application package decompilation tool to obtain SO files, calculating each SO file MD5, and storing the MD5 value of each SO file calculated by each application into the application analysis result; counting the occurrence times of the same files MD5 among different applications, and sequencing all the same files MD5 according to the repetition times; judging the MD5 value with the occurrence frequency more than or equal to the preset frequency and the preset percentage before the occurrence frequency as the MD5 of the three-party SO file, and warehousing the MD5 as the unique identifier of the three-party SO file dictionary table into the three-party SO file dictionary table; and acquiring the reference condition of the application of different three-party SO files according to the occurrence times of the same file MD5 among different applications. The method achieves the purpose of automatically identifying the three-party SO files quoted in the application by analyzing a large number of mobile applications, collects the three-party SO files with high Internet application citation frequency, and effectively reduces the cost for collecting the three-party SO file data.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program instructing relevant hardware (such as a processor, a controller, etc.), and the program may be stored in a computer readable storage medium, and when executed, the program may include the processes of the above method embodiments. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (8)
1. A method for identifying a three-party SO file is characterized by comprising the following steps:
newly building an application basic information table for storing the acquired application basic information, newly building an application analysis result table for storing application analysis results, and newly building a three-party SO file dictionary table for storing the identified three-party SO file information;
decompiling the applications in the application basic information table through an application package decompilation tool to obtain SO files, calculating each SO file MD5, and storing the MD5 value of each SO file calculated by each application into the application analysis result table;
counting the occurrence times of the same files MD5 among different applications, and sequencing all the same files MD5 according to the repetition times;
judging the MD5 value with the occurrence frequency more than or equal to the preset frequency and the preset percentage before the occurrence frequency as the MD5 of the three-party SO file, and warehousing the MD5 as the unique identifier of the three-party SO file dictionary table into the three-party SO file dictionary table;
and acquiring the reference condition of the application of different three-party SO files according to the occurrence times of the same file MD5 among different applications.
2. The method according to claim 1, wherein the obtaining of the reference of the application to the different three-party SO files according to the number of occurrences of the same file MD5 between different applications further comprises:
and counting the reference proportion of each three-party SO file in the application, and acquiring the frequency of the three-party SO file used in the application.
3. The method for identifying three-party SO files according to claim 1, wherein the higher the repetition rate of the same SO file MD5 between different applications, the more times the SO file is used.
4. The method of identifying three-party SO files of claim 1, wherein the application package decompilation tool is APKTool.
5. The method for identifying a three-party SO file according to claim 1, wherein the predetermined number of times is 2.
6. The method for identifying three-party SO files according to claim 1, wherein the preset percentage is 80%.
7. An intelligent terminal, characterized in that, intelligent terminal includes: a memory, a processor and a program for identifying a three-party SO file stored on the memory and executable on the processor, the program for identifying a three-party SO file implementing the steps of the method for identifying a three-party SO file as claimed in any one of claims 1 to 6 when executed by the processor.
8. A storage medium storing a program for identifying a three-party SO file, which when executed by a processor implements the steps of the method for identifying a three-party SO file according to any one of claims 1 to 6.
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