CN111193714B - Automatic tracking method and system for verification code printing platform - Google Patents
Automatic tracking method and system for verification code printing platform Download PDFInfo
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- CN111193714B CN111193714B CN201911244642.5A CN201911244642A CN111193714B CN 111193714 B CN111193714 B CN 111193714B CN 201911244642 A CN201911244642 A CN 201911244642A CN 111193714 B CN111193714 B CN 111193714B
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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
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0876—Network architectures or network communication protocols for network security for authentication of entities based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
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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
- H04L63/20—Network architectures or network communication protocols for network security for managing network security; network security policies in general
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2463/00—Additional details relating to network architectures or network communication protocols for network security covered by H04L63/00
- H04L2463/146—Tracing the source of attacks
Abstract
The invention provides an automatic tracking method and system for a verification code printing platform, wherein for each known code printing platform, a customized interface is used for tracking the change condition of an attack mode of the known code printing platform in real time; when the code printing platform changes the device fingerprint to cause that the device fingerprint cannot be further tracked, extracting the device fingerprint with high doubtful degree, and comparing the doubtful device fingerprint with the old fingerprint in the existing abnormal fingerprint library by adopting a KL distance evaluation algorithm; and if the calculated KL divergence difference value is lower than the threshold value, the code printing platform corresponding to the fingerprint of the suspicious device is considered as a tracked new code printing platform. The invention has the beneficial effects that: the distribution of resources such as internet protocol addresses, equipment information and the like used by the coding platform in the network request is extracted as the characteristics of the coding platform, and the attack characteristics of the coding platform are more accurately described; and introducing KL divergence as a measurement standard, and automatically and unsupervised extracting the most similar coding platform from a large batch of coding platforms.
Description
Technical Field
The invention relates to the technical field of internet verification safety, in particular to an automatic tracking method and system for a verification code printing platform.
Background
The existing coding platform tracking method mainly relies on manual data analysis, generally, when a coding platform changes an attack mode, the whole network data is extracted, a new coding platform similar to the new coding platform is found out through manual analysis, and the purpose of tracking the coding platform is further achieved.
According to the code printing platform tracking method depending on manual data analysis, the change of the data volume of the code printing platform needs to be counted and observed every day manually, time and labor are wasted, the code printing platform does not change every day, workers are easy to have a lacked mind, and an uncontrollable safety risk is generated; on the other hand, the method based on manual data analysis cannot track the change of the coding platform in time, so that the coping scheme cannot be updated in time, and usually, the change of the coding platform is known after the customer feeds back, which is more exclusive to the verification code service industry.
Disclosure of Invention
In view of this, the invention provides an automatic tracking method and system for a verification code coding platform, when the coding platform is found to change the device fingerprint thereof, so that further tracking cannot be performed, the device fingerprint with high suspiciousness is extracted, and KL (Kullback-Leibler) distance evaluation algorithm is adopted to compare the suspicious device fingerprint with the old fingerprint in the existing abnormal fingerprint library; and if the calculated KL divergence difference value is lower than the threshold value, the code printing platform corresponding to the fingerprint of the suspicious device is considered as a tracked new code printing platform.
The invention provides an automatic tracking method for a verification code printing platform, which comprises the following steps:
s1, for each known coding platform, a customized interface is used for tracking the change condition of the attack mode of the known coding platform in real time;
s2, when the code printing platform changes the fingerprint of the equipment to cause that the equipment cannot be tracked further, the front end collects behavior data of the user in the website on the same day, compresses and encrypts the behavior data and then sends the behavior data to the back end server, and the back end server analyzes and converts the received data into analysis data;
s3, primarily screening abnormal fingerprints according to the analysis data to obtain target fingerprints;
s4, comparing the target fingerprint with an existing abnormal fingerprint library;
s5, for finding out a target fingerprint corresponding to an old fingerprint in an existing abnormal fingerprint library, establishing a link relation between the target fingerprint and the old fingerprint, and recording relevant characteristics of a coding platform corresponding to the target fingerprint for next tracking; for a target fingerprint for which no corresponding old fingerprint is found in an existing abnormal fingerprint library, the target fingerprint is added to the existing abnormal fingerprint library for monitoring.
Further, in step S1, a device fingerprint is defined according to the device information of the coding platform in the network request, and the device fingerprint of the known coding platform is filed in the existing abnormal fingerprint library.
Further, the primary screening process in step S3 is: and performing frequency sequencing on all the device fingerprints of the same day recorded in the analysis data, and taking the first fingerprints as target fingerprints.
Further, the specific process of step S4 is: for the coding platform corresponding to each target fingerprint, extracting the distribution characteristics of the Internet protocol address and the equipment information used by the coding platform in the network request by using the analysis data, and calculating the KL divergence of the distribution characteristics; judging whether the KL divergence difference value of the coding platform corresponding to the target fingerprint and the KL divergence difference value of the coding platform corresponding to the old fingerprint in the existing abnormal fingerprint library is smaller than a threshold value, if so, determining that the corresponding old fingerprint is found in the existing abnormal fingerprint library; otherwise, the corresponding old fingerprint is not considered to be found in the existing abnormal fingerprint database.
Further, the first 200 fingerprints are taken as the target fingerprints in step S3.
The invention also provides an automatic tracking system of the verification code printing platform, which comprises a data acquisition and processing module, a data analysis module and a result judgment module, wherein the data acquisition and processing module is used for acquiring the user behavior data, processing the user behavior data into analysis data and providing the analysis data to the data analysis module; the data analysis module defines the equipment information of the coding platform in the network request as an equipment fingerprint, obtains a target fingerprint by using the analysis data, and analyzes the tracking condition of the coding platform; and the result judging module judges the tracking condition of the code printing platform.
Furthermore, the data acquisition and processing module further comprises a data compression encryption module and a data analysis module, the front end acquires behavior data of a user, the behavior data are processed by the data compression encryption module and then are sent to the back end server, and the back end server converts the received data into analysis data by the data analysis module.
Furthermore, the data analysis module comprises an abnormal fingerprint primary screening module, a comparison module and a relation filing module, wherein the abnormal fingerprint primary screening module is used for carrying out frequency sequencing on the device fingerprints acquired in the same day and obtaining a target fingerprint according to a sequencing result; the comparison module is used for comparing the target fingerprint with the existing abnormal fingerprint library and comprises a judgment sub-module which is used for judging whether the KL divergence difference value of the coding platform corresponding to the target fingerprint and the coding platform corresponding to the old fingerprint in the existing abnormal fingerprint library is smaller than a threshold value or not; and the relation filing module is used for establishing a link relation between the target fingerprint and the old fingerprint when the judgment result of the judgment submodule is yes, and recording relevant characteristics of the coding platform corresponding to the target fingerprint for next tracking.
Further, the result determination module comprises a first determination module and a second determination module, wherein the first determination module is configured to determine that the target fingerprint and the old fingerprint have an affinity when the determination result of the determination sub-module is yes, determine that the coding platform corresponding to the target fingerprint is successfully tracked, and use the relationship filing module for filing and then use the relationship filing module for continuing to track the next time; and the second judging module is used for determining that the target fingerprint is a new abnormal fingerprint when the judging result of the judging sub-module is negative, judging that the tracking of the coding platform corresponding to the target fingerprint fails, and adding the target fingerprint into an existing abnormal fingerprint library for continuous monitoring.
The technical scheme provided by the invention has the following beneficial effects: (1) The change information of the coding platform is automatically tracked, manual participation is not needed, time and labor are saved, and labor cost is saved; (2) When the coding platform changes, the method can respond in time, automatically track the most similar coding platform and update the corresponding scheme in time; (3) The Kullback-Leibler Divergence is used as the measurement standard of characteristic distribution, so that the tracking accuracy is ensured; (4) The invention is not limited to the field of verification code safety service, and is also suitable for automatic tracking of other black and gray industries.
Drawings
FIG. 1 is a flowchart of an automated tracking method for a verification code printing platform according to an embodiment of the present invention;
fig. 2 is a structural diagram of an automatic tracking system of a verification code coding platform according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be further described with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of the present invention provides an automatic tracking method for a verification code printing platform, including the following steps:
s1, for each known coding platform, a customized interface is used for tracking the change condition of the attack mode of the known coding platform in real time; specifically, defining device fingerprints according to device information of a coding platform in a network request, and filing the known device fingerprints of the coding platform into an existing abnormal fingerprint library;
s2, when the code printing platform changes the device fingerprint and cannot track further, the front end collects behavior data of the user in the website in the same day, compresses and encrypts the behavior data and then sends the behavior data to the back end server, and the back end server analyzes and converts the received data into analysis data;
s3, primary screening is carried out on abnormal fingerprints according to the analysis data; specifically, frequency sorting is performed on all device fingerprints of the same day recorded in the analysis data, and the first fingerprints are taken as target fingerprints, preferably, the first 200 fingerprints are taken in the implementation;
s4, comparing the target fingerprint with an existing abnormal fingerprint library; specifically, for a coding platform corresponding to each target fingerprint, resources such as internet protocol addresses and equipment information used by the coding platform in a network request are extracted by using the analysis data, and the distribution of the resources is used as the characteristics of the coding platform to calculate KL divergence; judging whether the KL divergence difference value of the coding platform corresponding to the target fingerprint and the KL divergence difference value of the coding platform corresponding to the old fingerprint in the existing abnormal fingerprint library is smaller than a threshold value, if so, determining that the target fingerprint and the existing abnormal fingerprint have an affinity relationship, and obtaining the coding platform corresponding to the target fingerprint by changing the coding platform corresponding to the old fingerprint; otherwise, the target fingerprint is considered as a new abnormal fingerprint, and the corresponding code printing platform is a new code printing platform.
It should be noted that, when the coding platform performs coding, the coding platform sends a network request, and uploads resources such as a used internet protocol address and device information, and the distribution characteristics of the resources are used as attack characteristics of the coding platform, and if the attack characteristics of the two coding platforms are closer, the corresponding KL divergence is smaller, so that the similarity is determined by calculating the difference between the KL divergences of the two coding platforms.
S5, for finding out a target fingerprint corresponding to an old fingerprint in an existing abnormal fingerprint library, establishing a link relation between the target fingerprint and the old fingerprint, and recording relevant characteristics of a coding platform corresponding to the target fingerprint for next tracking; and adding the target fingerprint to the existing abnormal fingerprint library for monitoring when the target fingerprint corresponding to the old fingerprint is not found in the existing abnormal fingerprint library.
Referring to fig. 2, the present embodiment further provides an automatic tracking system for a verification code coding platform, which includes a data collecting and processing module 1, a data analyzing module 2, and a result determining module 3, wherein:
the data acquisition and processing module 1 is used for acquiring user behavior data, processing the user behavior data into analysis data and providing the analysis data to the data analysis module 2; the data acquisition and processing module 1 further comprises a data compression encryption module 11 and a data analysis module 12, the front end acquires behavior data of a user, the behavior data are processed by the data compression encryption module 11 and then sent to the rear end server, and the rear end server converts the received data into analysis data by the data analysis module 12.
The data analysis module 2 comprises an abnormal fingerprint primary screening module 21, a comparison module 22 and a relation filing module 23, wherein the abnormal fingerprint primary screening module 21 is used for carrying out frequency sorting on the device fingerprints of the same day and obtaining target fingerprints according to sorting results; the comparison module 22 is configured to compare the target fingerprint with an existing abnormal fingerprint library, where the comparison module 22 includes a judgment sub-module, and the judgment sub-module is configured to judge whether a KL divergence difference between a coding platform corresponding to the target fingerprint and a coding platform corresponding to an old fingerprint in the existing abnormal fingerprint library is smaller than a threshold; the relationship filing module 23 is configured to, when the determination result of the determining sub-module is yes, establish a link relationship between the target fingerprint and the old fingerprint, and record relevant features of the coding platform corresponding to the target fingerprint for next tracking.
The result determining module 3 determines a tracking condition of the coding platform, where the result determining module 3 includes a first determining module 31 and a second determining module 32, where the first determining module 31 is configured to determine that the target fingerprint and the old fingerprint have an affinity when a determination result of the determining module is yes, determine that the coding platform corresponding to the target fingerprint is successfully tracked, and use the relationship filing module 23 for filing and then use the tracking module for continuing to track next time; the second determining module 32 is configured to determine that the target fingerprint is a new abnormal fingerprint when the determination result of the determining sub-module is negative, determine that the coding platform corresponding to the target fingerprint fails to be tracked, and add the target fingerprint to an existing abnormal fingerprint library for continuous monitoring.
In this document, the terms front, back, upper and lower are used to define the components in the drawings and the positions of the components relative to each other, and are used for clarity and convenience of the technical solution. It is to be understood that the use of the directional terms should not be taken to limit the scope of the claims.
The features of the embodiments and embodiments described herein above may be combined with each other without conflict.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (2)
1. An automatic tracking method for a verification code printing platform is characterized by comprising the following steps:
s1, for each known coding platform, a customized interface is used for tracking the change condition of the attack mode of the known coding platform in real time;
s2, when the code printing platform changes the fingerprint of the equipment to cause that the equipment cannot be tracked further, the front end collects behavior data of the user in the website on the same day, compresses and encrypts the behavior data and then sends the behavior data to the back end server, and the back end server analyzes and converts the received data into analysis data;
s3, performing primary screening on the abnormal fingerprints according to the analysis data to obtain target fingerprints;
s4, comparing the target fingerprint with an existing abnormal fingerprint library;
s5, for finding out a target fingerprint corresponding to an old fingerprint in an existing abnormal fingerprint library, establishing a link relation between the target fingerprint and the old fingerprint, and recording relevant characteristics of a coding platform corresponding to the target fingerprint for next tracking; for a target fingerprint corresponding to an old fingerprint is not found in an existing abnormal fingerprint database, adding the target fingerprint into the existing abnormal fingerprint database for monitoring;
in the step S1, the device fingerprint is defined according to the device information of the coding platform in the network request, and the known device fingerprint of the coding platform is filed in the existing abnormal fingerprint database;
the primary screening process in the step S3 comprises the following steps: frequency sorting is carried out on all the device fingerprints of the day recorded in the analysis data, and the first fingerprints are taken as target fingerprints;
the specific process of the step S4 is as follows: for the coding platform corresponding to each target fingerprint, extracting the distribution characteristics of the Internet protocol address and the equipment information used by the coding platform in the network request by using the analysis data, and calculating the KL divergence of the distribution characteristics; judging whether the KL divergence difference value of the coding platform corresponding to the target fingerprint and the KL divergence difference value of the coding platform corresponding to the old fingerprint in the existing abnormal fingerprint library is smaller than a threshold value, if so, determining that the corresponding old fingerprint is found in the existing abnormal fingerprint library; otherwise, the corresponding old fingerprint is not found in the existing abnormal fingerprint database;
the first 200 fingerprints are taken as target fingerprints.
2. An automatic tracking system of a verification code printing platform is characterized by comprising a data acquisition and processing module, a data analysis module and a result judgment module, wherein the data acquisition and processing module is used for acquiring user behavior data, processing the user behavior data into analysis data and providing the analysis data to the data analysis module; the data analysis module defines the equipment information of the coding platform in the network request as an equipment fingerprint, obtains a target fingerprint by using the analysis data, and analyzes the tracking condition of the coding platform; the result judging module judges the tracking condition of the code printing platform;
the data acquisition and processing module also comprises a data compression encryption module and a data analysis module, the front end acquires behavior data of a user, the behavior data is processed by the data compression encryption module and then is sent to the back end server, and the back end server converts the received data into analysis data by the data analysis module;
the data analysis module comprises an abnormal fingerprint primary screening module, a comparison module and a relation filing module, wherein the abnormal fingerprint primary screening module is used for carrying out frequency sorting on the device fingerprints acquired in the same day and obtaining a target fingerprint according to a sorting result; the comparison module is used for comparing the target fingerprint with the existing abnormal fingerprint library and comprises a judgment sub-module which is used for judging whether the KL divergence difference value of the coding platform corresponding to the target fingerprint and the coding platform corresponding to the old fingerprint in the existing abnormal fingerprint library is smaller than a threshold value or not; the relation filing module is used for establishing a link relation between the target fingerprint and the old fingerprint when the judgment result of the judgment submodule is yes, and recording relevant characteristics of a coding platform corresponding to the target fingerprint for next tracking;
the result judging module comprises a first judging module and a second judging module, wherein the first judging module is used for determining that the target fingerprint and the old fingerprint have an affinity when the judging result of the judging sub-module is yes, judging that the coding platform corresponding to the target fingerprint is successfully tracked, and filing by using the relation filing module for continuously tracking next time; and the second judging module is used for determining that the target fingerprint is a new abnormal fingerprint when the judging result of the judging sub-module is negative, judging that the tracking of the coding platform corresponding to the target fingerprint fails, and adding the target fingerprint into an existing abnormal fingerprint library for continuous monitoring.
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