Strategies for Protecting Against SQL Injection Vulnerabilities in Web Applications

Authors

  • Akshay Chandrachood Irving, Texas, USA Author

DOI:

https://doi.org/10.47363/037z7645

Keywords:

SQL injection (SQLi), web applications, data, System vulnerabilities

Abstract

SQL injection (SQLi) is a fundamental web applications security challenge that can greatly affect internet sites which use databases. A malicious actor can potentially manipulate an insecure application script to insert harmful SQL statements which can then allow hackers to violate their rights, manipulate the data and even unknowingly catenate the execution of the commands. This paper is about the efficient methods to suppress SQLi flaws. It goes beyond bound checks and polishing user input data by introducing input validation methods such as whitelist validation and sanitization techniques. For the secure mode, the process of encoding the queries with placeholders, the separation of code from user data during data insertion, and the use of stored procedures are all discussed. Maintaining the principle of least privilege by limiting the permissions of database account prevents the attack boasted by SQL injection attacks from having a wider damage scope. The secure coding practices addressed include the code review process that should be regular, the security testing techniques e.g. static analysis and dynamic application security testing (DAST), and the training of developers. Code examples illustrate the way in which these strategies are being applied to different languages and programming safely. Implementing a multi-layered defense through effective and multiple mitigation techniques significantly increases the security level of web applications from SQLi threats, preventing data breaches and system compromise while securing trust between users and the system. 

Author Biography

  • Akshay Chandrachood, Irving, Texas, USA

    Akshay Chandrachood, Irving, Texas, USA

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Published

2022-08-30

How to Cite

Strategies for Protecting Against SQL Injection Vulnerabilities in Web Applications. (2022). Journal of Artificial Intelligence & Cloud Computing, 1(3), 1-3. https://doi.org/10.47363/037z7645

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