


Is `mysqli_real_escape_string()` Enough to Prevent SQL Injection Attacks?
Is MySQLi's "mysqli_real_escape_string" Sufficient Against SQL Attacks?
Your code attempts to protect against SQL injections using "mysqli_real_escape_string()". However, as indicated by uri2x, this measure is inadequate.
Vulnerability to SQL Injection
"mysqli_real_escape_string()" only escapes certain characters, leaving your query vulnerable to SQL injection attacks. For example, the following code could still be vulnerable:
$email = mysqli_real_escape_string($db_con, $_POST['email']); $query = "SELECT * FROM users WHERE email = '" . $email . "'";
An attacker could input an email address like "email'@example.com" to exploit the query, adding additional SQL statements after the escaped input.
Use of Prepared Statements
Instead of "mysqli_real_escape_string()", the most effective way to prevent SQL injections is to employ prepared statements. Prepared statements separate data from the query string, preventing data contamination.
$stmt = $db_con->prepare("INSERT INTO users (email, psw) VALUES (?, ?)"); $stmt->bind_param('ss', $email, $psw); $email = mysqli_real_escape_string($db_con, $_POST['email']); $psw = mysqli_real_escape_string($db_con, $_POST['psw']); $stmt->execute();
Strict Character Whitelisting
In situations where prepared statements are not feasible, implementing a strict character whitelist can guarantee security. This involves filtering input to ensure it only contains allowed characters.
Conclusion
"mysqli_real_escape_string()" alone is insufficient to protect against SQL injections. Prepared statements and strict whitelisting provide more robust safeguards against these attacks.
The above is the detailed content of Is `mysqli_real_escape_string()` Enough to Prevent SQL Injection Attacks?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

Article discusses using foreign keys to represent relationships in databases, focusing on best practices, data integrity, and common pitfalls to avoid.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.
