Time-based SQL injection is a type of inferential injection or blind injection attack.
Inferential injection attack is a type of attack in which no data is transferred between the attacker and the database, and the attacker won’t be able to get results as easily as in an in-band injection attack.
This is why it is also called a blind injection attack. An attacker can reconstruct and make a new database structure inside the database.
In a time-based attack, an attacker sends an SQL command to the server with code to force a delay in the execution of the queries.
The response time indicates whether the result of the query is true or false. Depending on the response, the attacker will execute another query.
Because the attacker has to enumerate each character by character, this is usually a slow intrusion technique, especially for large databases.
In MySQL, the function SLEEP can be used, this function is only available since MySQL 5
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When an attacker tries to use these functions in the query and if he is successful in slowing the response, it proves SQL injection is possible and the server is using MySQL as a database.
This can lead the attacker to inject a more complex payload.
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Likewise in SQL Server, the functions WAIT FOR DELAY can be used to suspend the execution for the specified amount of time or WAIT FOR TIME can be used to suspend the execution of the query and continue it when system time is equal to the parameter.
Time-based blind SQL injection is particularly challenging to detect because it doesn’t rely on standard error messages or visible changes in the application’s behavior.
Here are some potential impacts of time-based blind SQL injection:
Attackers can use time delays to extract sensitive information from a database.
By injecting malicious queries and observing the time it takes for the application to respond, they can infer whether certain conditions are true or false, allowing them to gradually retrieve data.
Successful exploitation of Time-Based Blind SQL Injection may lead to unauthorized access to a database or other critical systems.
Attackers can manipulate the injected queries to bypass authentication mechanisms and gain unauthorized control.
In addition to extracting data, attackers can use Time-Based Blind SQL Injection to modify or delete existing data in the database.
This can have severe consequences for the integrity of the data and the proper functioning of the affected application.
Time-Based Blind SQL Injection attacks can be used to disrupt the normal operation of an application.
By injecting queries that cause time delays, an attacker can slow down or temporarily disable certain functionalities, leading to a denial of service.
Attackers can use Time-Based Blind SQL Injection as a means of reconnaissance to gather information about the structure and content of the database.
This information can be valuable for planning further attacks or identifying additional vulnerabilities.
If the application stores user credentials in a database, successful exploitation of Time-Based Blind SQL Injection can allow attackers to retrieve and compromise user login credentials.
A successful Time-Based Blind SQL Injection attack can have significant business impact, including reputational damage, financial losses, and legal consequences.
Breaches of sensitive data can lead to a loss of customer trust and legal liabilities.
Preventing and mitigating Time-Based Blind SQL Injection involves a combination of secure coding practices, input validation, and using prepared statements or parameterized queries.
Here are some strategies to help prevent or mitigate Time-Based Blind SQL Injection:
Implement strict input validation on both client and server sides. Validate and sanitize all user inputs to ensure they conform to expected formats and lengths.
This helps prevent the injection of malicious SQL code.
Instead of dynamically constructing SQL queries by concatenating user inputs, use parameterized queries or prepared statements provided by your programming language or framework.
Parameterized queries separate the SQL code from the user input, making it much harder for attackers to inject malicious code.
Ensure that database accounts used by your application have the least privilege necessary. Avoid using accounts with excessive permissions.
For example, a web application should only have permissions to execute specific stored procedures or queries required for its functionality.
Implement database firewalls or intrusion detection/prevention systems that can detect and block malicious SQL injection attempts. These systems can analyze the SQL traffic and identify patterns indicative of an attack.
Customize error messages to reveal as little information as possible to potential attackers.
Generic error messages can help prevent attackers from gaining insights into the database structure and query execution.
Set time-based execution thresholds for database queries.
If a query takes longer than the predefined threshold, consider logging the incident and taking appropriate actions, such as blocking the IP address making the request.
Conduct regular security audits and penetration testing on your application. Identify and address potential vulnerabilities before they can be exploited.
Automated tools and manual testing can be employed to check for SQL injection vulnerabilities.
Deploy a Web Application Firewall that can analyze and filter HTTP traffic between a web application and the internet. A WAF can help block SQL injection attempts and other malicious activities.
Keep your web application framework, database management system, and any third-party libraries up to date with the latest security patches. Many security vulnerabilities are addressed in updates.
Train and educate developers on secure coding practices, including the risks associated with SQL injection. Encourage the use of secure coding guidelines and conduct regular security awareness training.
By implementing a combination of these measures, you can significantly reduce the risk of Time-based Bbind SQL injection and enhance the overall security posture of your web applications.