CN102819723B - Method and system for detecting malicious two-dimension codes - Google Patents
Method and system for detecting malicious two-dimension codes Download PDFInfo
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- CN102819723B CN102819723B CN201110440506.0A CN201110440506A CN102819723B CN 102819723 B CN102819723 B CN 102819723B CN 201110440506 A CN201110440506 A CN 201110440506A CN 102819723 B CN102819723 B CN 102819723B
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- 238000001514 detection method Methods 0.000 claims abstract description 24
- 230000004044 response Effects 0.000 claims description 123
- 238000012512 characterization method Methods 0.000 claims description 18
- 239000000284 extract Substances 0.000 claims description 8
- 239000012634 fragment Substances 0.000 abstract 2
- 238000010586 diagram Methods 0.000 description 6
- 238000000605 extraction Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000002155 anti-virotic effect Effects 0.000 description 1
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Abstract
The invention discloses a method for detecting malicious two-dimension codes. The method comprises identifying malicious two-dimension code graphs to obtain binary data, and calculating and saving HASH values of the binary data of the malicious two-dimension codes; extracting fragment features of the malicious two-dimension codes; obtaining binary data and the length of the binary data of two-dimension code graphs to be detected; calculating complete HASH values of the binary data of the two-dimension code graphs to be detected, matching the full HASH values with the HASH values of the binary data, fragment features and contained uniform resource locators (URLs) of the malicious two-dimension codes, and determining whether the two-dimension codes to be detected are malicious two-dimension codes. The invention further provides a system for detecting malicious two-dimension codes. According to the technical scheme, the binary data are converted through the identification of the two-dimension code graphs, and the feature detection is performed on the binary data to detect the malicious two-dimension codes of the URL.
Description
Technical field
The present invention relates to this anti-virus field, particularly relate to a kind of malice Quick Response Code detection method and system.
Background technology
Current two-dimension is applied in every field fast widely, but some Quick Response Code recognizers do not have safety detection, detection at present for malice Quick Response Code does not also have disclosed method, but the Quick Response Code form of malice occurs, be mainly manifested on the left-handed URL of bag, must have the leak principle of generality of resolving the form spilling caused for data input, the Quick Response Code of resolving the malice form of the flooding in storehouse for some Quick Response Code also there will be simultaneously.
Summary of the invention
Due to the widespread use of current planar bar code technology, and the not identifiability of its naked eyes, safety inspection for Quick Response Code is necessary, mainly through being converted to binary data to two-dimension code pattern, feature detection is carried out to binary data, detect possible URL malice Quick Response Code, and the Quick Response Code of the form overflow type occurred in the future, carried out detecting before entering conventional Quick Response Code recognizer and prevent the URL of flooding and malice from carrying out further wooden horse, phishing attack behavior.
For above technical matters, the present invention proposes a kind of malice Quick Response Code detection method, comprising:
Identify that malice two-dimension code pattern obtains binary data, calculate and preserve the HASH value of described malice Quick Response Code binary data;
Extract malice Quick Response Code segment characterizations;
Obtain the binary data of two-dimension code pattern to be detected and the length of described binary data;
Calculate the full HASH value of the binary data of two-dimension code pattern to be detected, and mate with the HASH value of described malice Quick Response Code binary data,
If the match is successful, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise, the binary data of described two-dimension code pattern to be detected is mated with malice Quick Response Code segment characterizations, if the binary data of described two-dimension code pattern to be detected comprises described malice Quick Response Code segment characterizations, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise resolve the URL in the binary data of two-dimension code pattern to be detected, mate with the HASH storehouse of malice URL, if the match is successful, described Quick Response Code to be detected is malice Quick Response Code.
Described extraction malice Quick Response Code segment characterizations selects the data of 2 place's different lengths as segment feature in the binary data identifying the acquisition of malice two-dimension code pattern.
Further, in the binary data identifying the acquisition of malice two-dimension code pattern, length is selected to be not less than two place's data of 16 as segment feature.
The present invention also proposes a kind of malice Quick Response Code detection system, comprising:
Two-dimension code pattern identification module, for being converted to binary data by the figure of Quick Response Code;
Malice Quick Response Code HASH module, for calculating and preserving the HASH value of described malice Quick Response Code binary data;
Malice Quick Response Code segment characteristic module, for extracting malice Quick Response Code segment characterizations;
The segment extracting Quick Response Code identification data, as feature, is chosen the segment in data, is selected the high length of two place's information entropy to be not less than the binary data of 16.
Malice URL library module, for calculating the HASH of malice URL and being saved in the HASH storehouse of malice URL; Specifically, extract the URL in Quick Response Code, filter out white list URL, adopt Bloom-filter algorithm, the URL of malice is saved in malice URL storehouse.
Characteristic matching module, for calculating the full HASH value of the binary data of two-dimension code pattern to be detected, and mates with the HASH value of described malice Quick Response Code binary data,
If the match is successful, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise, the binary data of described two-dimension code pattern to be detected is mated with malice Quick Response Code segment characterizations, if the binary data of described two-dimension code pattern to be detected comprises described malice Quick Response Code segment characterizations, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise resolve the URL in the binary data of two-dimension code pattern to be detected, mate with the HASH storehouse of malice URL, if the match is successful, described Quick Response Code to be detected is malice Quick Response Code.
Described malice Quick Response Code segment characteristic module specifically for selecting the data of 2 place's different lengths as segment feature in the binary data identifying the acquisition of malice two-dimension code pattern.
Described malice Quick Response Code segment characteristic module is concrete also for selecting length to be not less than two place's data of 16 as segment feature in the binary data identifying the acquisition of malice two-dimension code pattern.
The invention has the beneficial effects as follows:
Because current two-dimension is applied in every field fast widely, but some Quick Response Code recognizers do not have safety detection, and the not identifiability of Quick Response Code naked eyes, safety inspection for Quick Response Code is necessary, technical solution of the present invention is mainly through being converted to binary data to two-dimension code pattern, feature detection is carried out to binary data, detect possible URL malice Quick Response Code, and the Quick Response Code of the form overflow type occurred in the future, carried out detecting before entering conventional Quick Response Code recognizer and prevent the URL of flooding and malice from carrying out further wooden horse, phishing attack behavior.
Accompanying drawing explanation
In order to be illustrated more clearly in the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, the accompanying drawing that the following describes is only some embodiments recorded in the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the present invention's malice Quick Response Code detection method feature extraction process flow diagram;
Fig. 2 is the present invention's malice Quick Response Code detection method process flow diagram;
Fig. 3 is the simulating two-dimensional code of the embodiment of the present invention;
Fig. 4 is the hexadecimal data after the conversion of embodiment of the present invention simulating two-dimensional code;
Fig. 5 is the present invention's malice Quick Response Code detection system schematic diagram.
Embodiment
In order to make those skilled in the art person understand technical scheme in the embodiment of the present invention better, and enable above-mentioned purpose of the present invention, feature and advantage become apparent more, below in conjunction with accompanying drawing, technical scheme in the present invention is described in further detail.
As shown in Figure 1, be malice Quick Response Code detection method feature extraction process flow diagram provided by the invention, concrete steps comprise:
S101, identification two-dimension code pattern;
The data of S102, acquisition binary format;
The full HASH feature of S103, calculating binary data is preserved;
S104, extraction malice Quick Response Code segment feature, select the data of 2 place's different lengths as segment feature, have and relatively uniquely represent this section of binary data in the binary data identifying Quick Response Code acquisition;
S105, judge whether there is URL in Quick Response Code; If carry out step S106;
S106, filter out white list URL;
S107, employing Bloom-filter algorithm, be saved in the URL of malice in malice URL storehouse.
As shown in Figure 2, be malice Quick Response Code detection method process flow diagram provided by the invention, concrete steps comprise:
S201, two-dimension code pattern identification;
The binary data that S202, the length obtaining the binary data of the Quick Response Code identified and Quick Response Code represent;
S203, HASH calculating is carried out to binary data entirety, the HASH value obtained and malice HASH value are compared, if the match is successful, go to step S206 and differentiate that this Quick Response Code is for maliciously Quick Response Code.Otherwise go to step S204;
S204, to identifying that the binary data that parses carries out segment characteristic matching, if comprise segment feature in binary data, then go to step S206.Otherwise go to step S205;
S205, parsing binary data obtain the URL of Quick Response Code kind, and the HASH value calculating URL is mated with the hash storehouse of malice URL, if the match is successful, goes to step S206.Otherwise terminate;
S206, differentiation Quick Response Code are malice Quick Response Code.
Fig. 3 is the simulating two-dimensional code of the embodiment of the present invention, to the flow process of its application drawing 1, first carries out two-dimension code pattern identification, obtains the binary data of Fig. 3 Quick Response Code as Fig. 4, calculates the full HASH value extracting data.
Extract segment feature, the position with relative unique nature can be selected, such as select 16 byte length 2E 71 71 32 30 31 31 73 61 2E 74 6B 2F 6A 69 6D as feature segment, for segment feature detection.
Extract and wherein comprise URL:http: whether //www.qq2011sa.tk/jimm.apk, judges whether in URL white list storehouse, Bloom-filter algorithm can be selected to search in white list storehouse this URL.If not in white list storehouse, this URL is placed in malice Quick Response Code URL storehouse.
According to Fig. 2, detect for any one two-dimension code image, binary data is obtained by figure identification, full HASH calculating is carried out to binary data, the malice Quick Response Code HASH value extracted before coupling, if coupling, is judged as malice Quick Response Code, if do not mated, carries out the detection of segment characterizations, detect in whole binary data and whether comprise malice binary segments, if comprised, be determined as malice Quick Response Code.Proceed to judge whether comprise URL in binary data if do not detected, extract URL, judge this URL whether in malice URL storehouse, if, be judged as malice Quick Response Code, if do not existed, terminate.
As shown in Figure 5, be the present invention's malice Quick Response Code detection system schematic diagram, comprise:
Two-dimension code pattern identification module 501, for being converted to binary data by the figure of Quick Response Code;
Malice Quick Response Code HASH module 502, for calculating and preserving the HASH value of described malice Quick Response Code binary data;
Malice Quick Response Code segment characteristic module 503, for extracting malice Quick Response Code segment characterizations;
The segment extracting Quick Response Code identification data, as feature, is chosen the segment in data, is selected the high length of two place's information entropy to be not less than the binary data of 16.
Malice URL library module 504, for calculating the HASH of malice URL and being saved in the HASH storehouse of malice URL; Specifically, extract the URL in Quick Response Code, filter out white list URL, adopt Bloom-filter algorithm, the URL of malice is saved in malice URL storehouse.
Characteristic matching module 505, for calculating the full HASH value of the binary data of two-dimension code pattern to be detected, and mates with the HASH value of described malice Quick Response Code binary data,
If the match is successful, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise, the binary data of described two-dimension code pattern to be detected is mated with malice Quick Response Code segment characterizations, if the binary data of described two-dimension code pattern to be detected comprises described malice Quick Response Code segment characterizations, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise resolve the URL in the binary data of two-dimension code pattern to be detected, mate with the HASH storehouse of malice URL, if the match is successful, described Quick Response Code to be detected is malice Quick Response Code.
Described malice Quick Response Code segment characteristic module 503 specifically for selecting the data of 2 place's different lengths as segment feature in the binary data identifying the acquisition of malice two-dimension code pattern.
Described malice Quick Response Code segment characteristic module 503 is concrete also for selecting length to be not less than two place's data of 16 as segment feature in the binary data identifying the acquisition of malice two-dimension code pattern.
In this instructions, the embodiment of method adopts the mode of going forward one by one to describe, and for the embodiment of system, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
Although depict the present invention by embodiment, those of ordinary skill in the art know, the present invention has many distortion and change and do not depart from spirit of the present invention, and the claim appended by wishing comprises these distortion and change and do not depart from spirit of the present invention.
Claims (6)
1. a malice Quick Response Code detection method, is characterized in that, comprising:
Identify that malice two-dimension code pattern obtains binary data, calculate and preserve the HASH value of described malice Quick Response Code binary data;
Extract malice Quick Response Code segment characterizations;
Obtain the binary data of two-dimension code pattern to be detected and the length of described binary data;
Calculate the full HASH value of the binary data of two-dimension code pattern to be detected, and mate with the HASH value of described malice Quick Response Code binary data,
If the match is successful, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise, the binary data of described two-dimension code pattern to be detected is mated with malice Quick Response Code segment characterizations, if the binary data of described two-dimension code pattern to be detected comprises described malice Quick Response Code segment characterizations, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise resolve the URL in the binary data of two-dimension code pattern to be detected, mate with the HASH storehouse of malice URL, if the match is successful, described Quick Response Code to be detected is malice Quick Response Code.
2. maliciously Quick Response Code detection method as claimed in claim 1, is characterized in that, extracts malice Quick Response Code segment characterizations, is select the data of 2 place's different lengths as segment feature in the binary data identifying the acquisition of malice two-dimension code pattern.
3. malice Quick Response Code detection method as claimed in claim 2, is characterized in that, in the binary data identifying the acquisition of malice two-dimension code pattern, select length to be not less than two place's data of 16 as segment feature.
4. a malice Quick Response Code detection system, is characterized in that, comprising:
Two-dimension code pattern identification module, for being converted to binary data by the figure of Quick Response Code;
Malice Quick Response Code HASH module, for calculating and preserving the HASH value of described malice Quick Response Code binary data;
Malice Quick Response Code segment characteristic module, for extracting malice Quick Response Code segment characterizations;
Malice URL library module, for calculating the HASH of malice URL and being saved in the HASH storehouse of malice URL;
Characteristic matching module, for calculating the full HASH value of the binary data of two-dimension code pattern to be detected, and mates with the HASH value of described malice Quick Response Code binary data,
If the match is successful, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise, the binary data of described two-dimension code pattern to be detected is mated with malice Quick Response Code segment characterizations, if the binary data of described two-dimension code pattern to be detected comprises described malice Quick Response Code segment characterizations, then described Quick Response Code to be detected is malice Quick Response Code;
Otherwise resolve the URL in the binary data of two-dimension code pattern to be detected, mate with the HASH storehouse of malice URL, if the match is successful, described Quick Response Code to be detected is malice Quick Response Code.
5. malice Quick Response Code detection system as claimed in claim 4, is characterized in that, malice Quick Response Code segment characteristic module specifically for selecting the data of 2 place's different lengths as segment feature in the identification binary data that maliciously two-dimension code pattern obtains.
6. maliciously Quick Response Code detection system as claimed in claim 5, is characterized in that, malice Quick Response Code segment characteristic module is concrete also for selecting length to be not less than two place's data of 16 as segment feature in the binary data identifying the acquisition of malice two-dimension code pattern.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103226688B (en) * | 2013-02-28 | 2015-12-23 | 中国地质大学（武汉） | The authentication method of the anti-tamper and anti-counterfeiting of a kind of Quick Response Code |
| CN103268328B (en) * | 2013-05-02 | 2016-05-25 | 百度在线网络技术（北京）有限公司 | The verification method of Quick Response Code and search engine server |
| CN104239792A (en) * | 2013-06-21 | 2014-12-24 | 广州杰赛科技股份有限公司 | Cloud-based two-dimension code safety protecting method and device |
| CN103647779A (en) * | 2013-12-16 | 2014-03-19 | 北京奇虎科技有限公司 | Method and device for detecting fishing fraud information through two-dimensional code |
| CN103984697A (en) * | 2014-04-08 | 2014-08-13 | 百度在线网络技术（北京）有限公司 | Barcode information processing method, device and system |
| CN105704100A (en) * | 2014-11-26 | 2016-06-22 | 阿里巴巴集团控股有限公司 | File identification method and file identification device |
| CN105718792A (en) * | 2015-08-13 | 2016-06-29 | 哈尔滨安天科技股份有限公司 | Sandbox based two-dimensional code detection method and system |
| CN105162603A (en) * | 2015-09-15 | 2015-12-16 | 重庆智韬信息技术中心 | Method for realizing distribution of two-dimensional codes to users and commenting and security detection on two-dimensional codes |
| CN106055693B (en) * | 2016-06-12 | 2020-01-10 | 深圳市金立通信设备有限公司 | Information processing method and terminal |
| CN111967609B (en) * | 2020-08-14 | 2021-08-06 | 深圳前海微众银行股份有限公司 | Model parameter verification method, device and readable storage medium |
| CN113630414A (en) * | 2021-08-09 | 2021-11-09 | 中国电信股份有限公司 | Identification code verification method, system, gateway device and storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102243699A (en) * | 2011-06-09 | 2011-11-16 | 深圳市安之天信息技术有限公司 | Malicious code detection method and system |
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2011
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102243699A (en) * | 2011-06-09 | 2011-11-16 | 深圳市安之天信息技术有限公司 | Malicious code detection method and system |
Non-Patent Citations (2)
| Title |
|---|
| 基于4级受信机制的可疑终端的恶意代码取证与分析;苗得雨等;《电信科学》;20110115(第1期);第105-109页 * |
| 基于Bloom Filter的大规模网页去重策略研究;丁振国等;《现代图书情报技术》;20080325(第3期);第45-50页 * |
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