CN112929458B - Method and device for determining address of server of APP (application) and storage medium - Google Patents
Method and device for determining address of server of APP (application) and storage medium Download PDFInfo
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- CN112929458B CN112929458B CN201911237754.8A CN201911237754A CN112929458B CN 112929458 B CN112929458 B CN 112929458B CN 201911237754 A CN201911237754 A CN 201911237754A CN 112929458 B CN112929458 B CN 112929458B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/45—Network directories; Name-to-address mapping
- H04L61/4505—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols
- H04L61/4511—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols using domain name system [DNS]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- 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
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1416—Event detection, e.g. attack signature detection
Abstract
The disclosure provides a method, a device and a storage medium for determining a server address of an APP application, wherein the method comprises the following steps: acquiring address information corresponding to the APP; the address information includes: IP address information or domain name resolution information; classifying the address information according to the address type feature library and the address type model, and determining the address type corresponding to the address information; setting address information of which the address type cannot be determined as a candidate server address corresponding to the APP; and detecting the candidate server address, and determining whether the candidate server is the server address corresponding to the APP based on the detection processing result. The method, the device and the storage medium improve the accuracy and the efficiency of background address determination, can quickly locate the server corresponding to the APP, can integrally evaluate the safety of the APP service, and are also beneficial to quick tracing and handling when a safety event occurs.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for determining a server address of an APP application, and a storage medium.
Background
At present, the safety problems caused by APP application, namely mobile phone APP application, are more and more prominent in main forms of mobile internet, industrial internet and the like, and safety detection needs to be provided for the APP. A common security detection technology adopts a static detection mode, and potential bugs or malicious behaviors in codes are discovered through code reversal and white box detection. However, many malicious behaviors are often dynamically loaded after software runs or sent after interaction with a server, and the content rules depend on the server more. Through positioning the APP server, malicious behaviors of the APP server can be found more truly, and the accuracy of the APP server is improved. Because malicious software often has a lot of noises such as a lot of advertisements, a plurality of main control terminals and the like, a real server terminal cannot be accurately positioned.
Disclosure of Invention
In view of this, a technical problem to be solved by the present invention is to provide a method, an apparatus and a storage medium for determining a server address of an APP application.
According to one aspect of the disclosure, a method for determining a server address of an APP application is provided, which includes: acquiring address information corresponding to the APP; wherein the address information includes: IP address information or domain name resolution information; classifying the address information according to an address type feature library and an address type model, and determining an address type corresponding to the address information; setting address information of which the address type cannot be determined as a candidate server address corresponding to the APP application; and detecting the candidate server address, and determining whether the candidate server is the server address corresponding to the APP based on the detection processing result.
Optionally, the classifying the address information according to an address type feature library and an address type model, and determining an address type corresponding to the address information includes: acquiring address type characteristics in the address type characteristic library, and performing matching processing on the address information by using the address type characteristics; if the matching is successful, determining the address type corresponding to the address information; if the matching is unsuccessful, inputting the address information into the address type model, and identifying the address information to determine the address type corresponding to the address information; wherein the address types include: advertisement service address type, domain name service address type, malicious address type.
Optionally, the setting address information for which the address type cannot be determined as a candidate server address corresponding to the APP application includes: and if the address type model cannot identify the address information, setting the address information as the candidate server address.
Optionally, if the address type model can identify the address information, determining an address type corresponding to the address information, and storing the address information and the corresponding address type in the address type feature library.
Optionally, generating a training sample based on address type features in the address type feature library and/or address type features collected in advance; and training a preset deep learning model by using a deep learning method based on the training sample to obtain the address type model.
Optionally, the performing detection processing on the candidate server address, and determining whether the candidate server is a server address corresponding to the APP application based on a detection processing result includes: carrying out address validity detection and address reachability detection on the candidate server address; and if the candidate server address passes the address validity detection and the address reachability detection, determining that the candidate server address is the server address.
Optionally, the obtaining address information corresponding to the APP application includes: acquiring a source code of the APP, and acquiring the address information in the source code; and/or acquiring network flow information corresponding to the APP application, and acquiring the address information based on the network flow information.
According to another aspect of the present disclosure, there is provided a server address determining apparatus for an APP application, including: the address information acquisition module is used for acquiring address information corresponding to the APP; wherein the address information includes: IP address information or domain name resolution information; the address classification module is used for classifying the address information according to an address type feature library and an address type model and determining an address type corresponding to the address information; setting address information of which the address type cannot be determined as a candidate server address corresponding to the APP application; and the address detection module is used for detecting the candidate server address and determining whether the candidate server is the server address corresponding to the APP based on the detection processing result.
Optionally, the address classification module is configured to obtain address type features in the address type feature library, and perform matching processing on the address information by using the address type features; if the matching is successful, determining the address type corresponding to the address information; if the address information is matched with the address type model unsuccessfully, inputting the address information into the address type model, and identifying the address information to determine the address type corresponding to the address information; wherein the address types include: advertisement service address type, domain name service address type, malicious address type.
Optionally, the address classification module is configured to set the address information as the candidate server address if the address type model cannot identify the address information.
Optionally, the address detection module is configured to determine an address type corresponding to the address information if the address type model can identify the address information, and store the address information and the corresponding address type in the address type feature library.
Optionally, the address detection module is configured to generate a training sample based on the address type feature in the address type feature library and/or a pre-acquired address type feature; and training a preset deep learning model by using a deep learning method based on the training sample to obtain the address type model.
Optionally, the address detection module is configured to perform address validity detection and address reachability detection on the candidate server address; and if the candidate server address passes the address validity detection and the address reachability detection, determining that the candidate server address is the server address.
Optionally, the address information obtaining module is configured to obtain a source code of the APP application, and obtain the address information in the source code; and/or acquiring network traffic information corresponding to the APP application, and acquiring the address information based on the network traffic information.
According to another aspect of the present disclosure, there is provided a server address determining apparatus for an APP application, including: a memory; and a processor coupled to the memory, the processor configured to perform the method as described above based on instructions stored in the memory.
According to yet another aspect of the present disclosure, a computer-readable storage medium is provided, which stores computer instructions for execution by a processor to perform the method as described above.
The server address determining method, device and storage medium for the APP application perform address validity detection on address information corresponding to the APP application, obtain the server address corresponding to the APP application, improve accuracy and efficiency of background address determination, can quickly locate the server corresponding to the APP application, can integrally evaluate safety of the APP service, and is also helpful for quick tracing and disposal when a safety event occurs.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive exercise.
Fig. 1 is a schematic flowchart of an embodiment of a method for determining a server address of an APP application according to the present disclosure;
fig. 2 is a schematic flowchart of classification processing in an embodiment of a method for determining a server address of an APP application according to the present disclosure;
fig. 3 is a schematic block diagram of an embodiment of a server address determining apparatus for an APP application according to the present disclosure;
fig. 4 is a block diagram illustrating another embodiment of a server address determining apparatus for APP according to the present disclosure.
Detailed Description
The present disclosure now will be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the disclosure are shown. The technical solutions in the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the embodiments described are only some embodiments of the present disclosure, rather than all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Fig. 1 is a schematic flowchart of an embodiment of a method for determining a server address of an APP application according to the present disclosure, as shown in fig. 1:
And 102, classifying the address information according to the address type feature library and the address type model, and determining the address type corresponding to the address information. The address type model can be a plurality of address classification models, and the address type model can classify the addresses through an artificial intelligence AI technology.
And 103, setting the address information of which the address type cannot be determined as a candidate server address corresponding to the APP application.
And step 104, detecting the candidate server address, and determining whether the candidate server is the server address corresponding to the APP based on the detection result.
The address information may be classified using various methods to determine the address type corresponding to the address information. Fig. 2 is a schematic flowchart of a classification process in an embodiment of a method for determining a server address of an APP application according to the present disclosure, as shown in fig. 2:
In one embodiment, a plurality of address type features are preset in an address type feature library, and intelligent analysis is performed according to existing address type features (address classification features). The address type characteristics may be various, such as a particular domain name suffix, a particular host domain name, a super-regular domain name, a malicious address, and so forth. Matching processing is carried out according to various existing configuration rules, and various address types (classifications) corresponding to the address information are obtained, wherein the address types comprise: an advertisement service address type, a domain name service address type, a malicious address type, and other specific service address types (e.g., an access analysis component, a customer profile, a diversion service, etc.).
If the address type model cannot identify the address information, setting the address information as a candidate server address. If the address type model can identify the address information, determining the address type corresponding to the address information, and storing the address information and the corresponding address type in an address type feature library.
An address classification feature library is established in advance and can be used as a feature library of the address type model, the result after the address type model is analyzed can be supplemented into the address classification feature library, and classified address information and type information of the address type model are supplemented into the address classification feature library. The address type model can not identify that the address type of the address information is not an advertisement service address type, a domain name service address type, a malicious address type, other specific service address types and the like, and then the address type is used as a candidate server address. The address classification feature library is established, the analysis efficiency can be improved, the address classification feature library and the AI technology are mutually fused and continuously strengthened, and forward circulation is formed.
In one embodiment, training samples are generated based on address type features in an address type feature library and/or address type features collected in advance; and training a preset deep learning model by using a deep learning method based on the training sample to obtain an address type model. There are various deep learning models, for example, deep learning models include CNN, DBN, RNN, RNTN, auto-encoder, GAN, and the like.
The preset deep learning model comprises a multilayer neuron model, the multilayer neuron model comprises an input layer neuron model, at least one middle layer neuron model and an output layer neuron model, the output of each layer of neuron model is used as the input of the next layer of neuron model, neurons of the input layer neuron model correspond to address information, and neurons of the output layer neuron model correspond to a plurality of address types. The multi-layer neuron model may be a sub-network structure having a plurality of neural network layers of a fully-connected structure, and the middle layer neuron model is a fully-connected layer.
The detection processing of the candidate server address may adopt various detection methods. And performing address validity detection and address reachability detection on the candidate server address, and if the candidate server address passes the address validity detection and the address reachability detection, determining that the candidate server address is a server address, namely an APP background address, wherein the number of the server addresses can be one or more. And after the address legality and reachability detection is finished, ensuring that the address of the server is an available address. The address validity detection can adopt the existing validity rule to detect the candidate server address, and the address reachability detection can adopt the existing multiple methods to determine whether the candidate server address can be accessed and reached.
There may be various methods for obtaining address information corresponding to an APP application. Acquiring a source code of an APP, and acquiring address information in the source code; and acquiring network flow information corresponding to the APP, and acquiring address information based on the network flow information. For example, the APP obtains a source code through static analysis including shell removal, reverse, and the like, obtains related IP and domain name information in a program from the source code, or obtains IP address information and domain name resolution information interacting with the APP through dynamic analysis and monitoring network traffic.
In one embodiment, the present disclosure provides a server address determining apparatus 30 for an APP application, including: an address information acquisition module 31, an address classification module 32 and an address detection module 33. The address information obtaining module 31 obtains address information corresponding to the APP application; wherein the address information includes: IP address information or domain name resolution information.
The address information obtaining module 31 obtains a source code of the APP application, and obtains address information in the source code; and/or the address information obtaining module 31 obtains network traffic information corresponding to the APP application, and obtains the address information based on the network traffic information.
In one embodiment, the address classification module 32 classifies the address information according to the address type feature library and the address type model, and determines the address type corresponding to the address information. The address classification module 32 sets address information for which the address type cannot be determined as a candidate server address corresponding to the APP application. The address detection module 33 performs detection processing on the candidate server address, and determines whether the candidate server is a server address corresponding to the APP application based on a detection processing result.
The address classification module 32 obtains the address type features in the address type feature library, and performs matching processing on the address information by using the address type features; if the match is successful, the address classification module 32 determines the address type corresponding to the address information; if the matching is not successful, the address classification module 32 inputs the address information into the address type model, and identifies the address information to determine the address type corresponding to the address information; wherein the address types include: an advertisement service address type, a domain name service address type, a malicious address type, and the like.
If the address type model cannot identify address information, the address classification module 32 sets this address information as a candidate server address. If the address type model is able to identify address information, the address classification module 32 determines the address type corresponding to the address information, stores this address information and the corresponding address type in the address type feature library.
The address classification module 32 generates training samples based on address type features in the address type feature library and/or pre-collected address type features. The address classification module 32 trains a preset deep learning model based on the training samples by using a deep learning method to obtain an address type model.
The address detection module 33 performs address validity detection and address reachability detection on the candidate server addresses; if the candidate server address passes the address validity detection and the address reachability detection, the address detection module 33 determines that the candidate server address is the server address.
Fig. 4 is a schematic block diagram of a server address determining apparatus of an APP application according to another embodiment of the present disclosure. As shown in fig. 4, the apparatus may include a memory 41, a processor 42, a communication interface 43, and a bus 44. The memory 41 is used for storing instructions, the processor 42 is coupled to the memory 41, and the processor 42 is configured to execute a server address determination method for implementing the APP application based on the instructions stored in the memory 41.
The memory 41 may be a high-speed RAM memory, a non-volatile memory (non-volatile memory), or the like, and the memory 41 may be a memory array. The storage 41 may also be partitioned, and the blocks may be combined into virtual volumes according to certain rules. The processor 42 may be a central processing unit CPU, or an APPlication Specific Integrated Circuit ASIC (APPlication Specific Integrated Circuit), or one or more Integrated circuits configured to implement the server address determination method of the APP APPlication of the present disclosure.
In one embodiment, the present disclosure provides a computer-readable storage medium having stored thereon computer instructions for execution by a processor to perform a method as above.
The method, the device and the storage medium for determining the address of the server side of the APP application provided in the above embodiments perform address validity detection on the address information corresponding to the APP application, obtain the address of the server side corresponding to the APP application, improve the accuracy and efficiency of background address determination, quickly locate the server side corresponding to the APP application, help to analyze the safety risk and the existing problem of the APP application more accurately, can integrally evaluate the safety of the APP service, also help to quickly trace to the source and handle when a safety event occurs, and improve the user's experience.
The method and system of the present disclosure may be implemented in a number of ways. For example, the methods and systems of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
The description of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the disclosure in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the disclosure and the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (12)
1. A method for determining a server address of an APP application comprises the following steps:
acquiring address information corresponding to the APP; wherein the address information includes: IP address information or domain name resolution information;
classifying the address information according to an address type feature library and an address type model, and determining an address type corresponding to the address information, wherein the classifying comprises the following steps:
acquiring address type characteristics in the address type characteristic library, and matching the address information by using the address type characteristics; if the matching is successful, determining the address type corresponding to the address information; if the matching is unsuccessful, inputting the address information into the address type model, and identifying the address information to determine the address type corresponding to the address information; the address types include: advertisement service address type, domain name service address type, malicious address type;
setting address information of which the address type cannot be determined as a candidate server address corresponding to the APP application, including:
if the address type model can not identify the address information, setting the address information as the candidate server address;
and detecting the candidate server address, and determining whether the candidate server is the server address corresponding to the APP based on the detection processing result.
2. The method of claim 1, further comprising:
if the address type model can identify the address information, determining the address type corresponding to the address information, and storing the address information and the corresponding address type in the address type feature library.
3. The method of claim 1, further comprising:
generating a training sample based on address type characteristics in the address type characteristic library and/or address type characteristics collected in advance;
and training a preset deep learning model by using a deep learning method based on the training sample to obtain the address type model.
4. The method of claim 1, wherein the performing the detection processing on the candidate server address, and the determining whether the candidate server is the server address corresponding to the APP application based on the detection processing result comprises:
carrying out address validity detection and address reachability detection on the candidate server address;
and if the candidate server address passes the address validity detection and the address reachability detection, determining that the candidate server address is the server address.
5. The method of claim 1, the obtaining address information corresponding to an APP application comprising:
acquiring a source code of the APP, and acquiring the address information in the source code; and/or the presence of a gas in the gas,
and acquiring network flow information corresponding to the APP application, and acquiring the address information based on the network flow information.
6. A server address determination device for an APP application comprises:
the address information acquisition module is used for acquiring address information corresponding to the APP; wherein the address information includes: IP address information or domain name resolution information;
the address classification module is used for classifying the address information according to an address type feature library and an address type model and determining an address type corresponding to the address information; setting address information of which the address type cannot be determined as a candidate server address corresponding to the APP application;
the address classification module is specifically configured to acquire address type features in the address type feature library, and perform matching processing on the address information by using the address type features; if the matching is successful, determining the address type corresponding to the address information; if the matching is unsuccessful, inputting the address information into the address type model, and identifying the address information to determine the address type corresponding to the address information; the address types include: advertisement service address type, domain name service address type, malicious address type; if the address type model can not identify the address information, setting the address information as the candidate server address;
and the address detection module is used for detecting the candidate server address and determining whether the candidate server is the server address corresponding to the APP based on the detection processing result.
7. The apparatus of claim 6, wherein,
the address detection module is configured to determine an address type corresponding to the address information if the address information can be identified by the address type model, and store the address information and the corresponding address type in the address type feature library.
8. The apparatus of claim 6, wherein,
the address detection module is used for generating a training sample based on the address type characteristics in the address type characteristic library and/or address type characteristics acquired in advance; and training a preset deep learning model by using a deep learning method based on the training sample to obtain the address type model.
9. The apparatus of claim 6, wherein,
the address detection module is used for carrying out address validity detection and address reachability detection on the candidate server address; and if the candidate server address passes the address validity detection and the address reachability detection, determining that the candidate server address is the server address.
10. The apparatus of claim 6, wherein,
the address information acquisition module is used for acquiring a source code of the APP and acquiring the address information from the source code; and/or acquiring network traffic information corresponding to the APP application, and acquiring the address information based on the network traffic information.
11. A server address determination device for an APP application comprises:
a memory; and a processor coupled to the memory, the processor configured to perform the method of any of claims 1-5 based on instructions stored in the memory.
12. A computer-readable storage medium having stored thereon computer instructions for execution by a processor of the method of any one of claims 1 to 5.
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