The principle of sql injection attack
Malicious users insert SQL statements into the request content during the process of submitting query requests, and at the same time the program itself Excessive trust in user input content without filtering SQL statements inserted by malicious users, resulting in SQL statements being directly executed by the server.
SQL injection attack classification
(1) Different classifications of injection points
Injection of numeric type Injection of string type
(2) Different classifications of submission methods
GET injection POST injection COOKIE injection HTTP injection
(3) Different classifications of methods of obtaining information
Boolean-based blind injection based on Time blind injection based on error reporting
SQL injection attack case:
1. View the injection case of the article:
View the injection case of a certain article If the url parameter is: ?id=1
, then by injecting the command: ?id=1 or 1=1, you can list all the articles in the entire data table.
If the viewing user is accessed through user_id, such as:? uid=1
By injecting the command:?id=1 or 1=1, you can display all the records of the entire user table
The SQL command is as follows:
The SQL command that passes ?id=1 is: select * from article where id=1. This statement queries 1 structure
The SQL command that passes ?id=1 and 1=1 is: select * from article where id=1 or 1=1, this statement queries the records of the entire table
2. User login injection case:
The login form has the user_name field, and the query statement is: select * from users where nickname='{user_name}'
You can fill in the user_name text box: (' or 1='1), so that the injected SQL command can be constructed: select * from users where user_name='' or 1='1', so it is easy to enter the system.
3. SQL injection table guessing:
Fill in the username field on the login page: (' or 1=(select count(0) from t_porg_document) or 1='1), The injected SQL command can be constructed: select * from users where user_name='' or 1=(select count(0) from recharge) or 1='1'
This way you can guess whether the recharge table exists. If it exists, the statement will be executed normally, otherwise an error will be reported.
After guessing the table name, you can add, delete, modify and check the data table, such as:
In the user name field of the login page, fill in: ('; delete from users), Dangerous SQL commands can be constructed: select * from users where user_name=''; delete from users;
By adding semicolons, arbitrary additions, deletions, modifications, and query SQL statements can be constructed, and the entire database can be manipulated by the attacker at will. Controlled.
PHP Chinese website has a large number of free SQL tutorials, everyone is welcome to learn!
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SQL is suitable for beginners because it is simple in syntax, powerful in function, and widely used in database systems. 1.SQL is used to manage relational databases and organize data through tables. 2. Basic operations include creating, inserting, querying, updating and deleting data. 3. Advanced usage such as JOIN, subquery and window functions enhance data analysis capabilities. 4. Common errors include syntax, logic and performance issues, which can be solved through inspection and optimization. 5. Performance optimization suggestions include using indexes, avoiding SELECT*, using EXPLAIN to analyze queries, normalizing databases, and improving code readability.

In practical applications, SQL is mainly used for data query and analysis, data integration and reporting, data cleaning and preprocessing, advanced usage and optimization, as well as handling complex queries and avoiding common errors. 1) Data query and analysis can be used to find the most sales product; 2) Data integration and reporting generate customer purchase reports through JOIN operations; 3) Data cleaning and preprocessing can delete abnormal age records; 4) Advanced usage and optimization include using window functions and creating indexes; 5) CTE and JOIN can be used to handle complex queries to avoid common errors such as SQL injection.

SQL is a standard language for managing relational databases, while MySQL is a specific database management system. SQL provides a unified syntax and is suitable for a variety of databases; MySQL is lightweight and open source, with stable performance but has bottlenecks in big data processing.

The SQL learning curve is steep, but it can be mastered through practice and understanding the core concepts. 1. Basic operations include SELECT, INSERT, UPDATE, DELETE. 2. Query execution is divided into three steps: analysis, optimization and execution. 3. Basic usage is such as querying employee information, and advanced usage is such as using JOIN connection table. 4. Common errors include not using alias and SQL injection, and parameterized query is required to prevent it. 5. Performance optimization is achieved by selecting necessary columns and maintaining code readability.

SQL commands are divided into five categories in MySQL: DQL, DDL, DML, DCL and TCL, and are used to define, operate and control database data. MySQL processes SQL commands through lexical analysis, syntax analysis, optimization and execution, and uses index and query optimizers to improve performance. Examples of usage include SELECT for data queries and JOIN for multi-table operations. Common errors include syntax, logic, and performance issues, and optimization strategies include using indexes, optimizing queries, and choosing the right storage engine.

Advanced query skills in SQL include subqueries, window functions, CTEs and complex JOINs, which can handle complex data analysis requirements. 1) Subquery is used to find the employees with the highest salary in each department. 2) Window functions and CTE are used to analyze employee salary growth trends. 3) Performance optimization strategies include index optimization, query rewriting and using partition tables.

MySQL is an open source relational database management system that provides standard SQL functions and extensions. 1) MySQL supports standard SQL operations such as CREATE, INSERT, UPDATE, DELETE, and extends the LIMIT clause. 2) It uses storage engines such as InnoDB and MyISAM, which are suitable for different scenarios. 3) Users can efficiently use MySQL through advanced functions such as creating tables, inserting data, and using stored procedures.

SQLmakesdatamanagementaccessibletoallbyprovidingasimpleyetpowerfultoolsetforqueryingandmanagingdatabases.1)Itworkswithrelationaldatabases,allowinguserstospecifywhattheywanttodowiththedata.2)SQL'sstrengthliesinfiltering,sorting,andjoiningdataacrosstab


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