A SQL injection is a serious vulnerability affecting applications that use SQL as their database language. Through cleverly constructed text inputs that modify the backend SQL query, threat actors can force the application to output private data or respond in ways that provide intel. SQL injections attacks can ultimately be used to steal information and even take complete control of a system.
SQL injections can be broken into multiple types depending on how information is retrieved: union-based, error-based, boolean-based, time-based, and out-of-band injections.
One way SQL injections can be mitigated is through input sanitization. Sanitization is the process of removing dangerous characters from user input.
Dangerous characters might include:
This is important because they allow attackers to extend SQL queries to gain more information from a database.
Careful, this method is not the perfect defense against SQL injections. Removing characters may have no effect in some queries and, if an attacker finds a way to bypass the sanitization process, they can easily inject data into your system.
SELECT username, email FROM users WHERE id = '1' AND '1' = '2';
UNION SQL keyword to take two separate
SELECT queries and combine their results. Consider the user input:
soap' UNION SELECT username,password,NULL FROM user_table;-- -
Being added to the query:
query = "SELECT product_name, product_cost, product_description FROM product_table WHERE product_name = " + USER_INPUT + "'";
SELECT product_name, product_cost, product_description FROMproduct_table WHERE product_name = 'soap' UNION SELECT username,password,NULL FROM user_table;-- -';
This resulting query would expose all the usernames and passwords of the users!
An attacker writes a malicious SQL query to force the application to return an error message with sensitive data. The inside statement of the following SQL query gets the password for the profile ID 1 but throws an error on the value type that should be returned. This error accidentally gives away the password!
SELECT user_id FROM users WHERE username='asdf' UNION select 1, exp(~(select*from(SELECT Password FROM profiles WHERE ID=1)x)); -- -
An attacker takes note of the difference in web responses after sending SQL queries that result in either TRUE or FALSE. Depending on the result, the HTTP response will change or stay the same. Even though no data is returned from the database, the attacker can gain insight into the database (figure out table names) and eventually build up for a Union-based injection.
SELECT username, email FROM users WHERE id = '1' AND '1' = '1';
Makes use of several built-in SQL functions, such as
BENCHMARK(), to cause visible delays in an application’s response time. Like boolean-based injections, this is also used by an attacker to infer information about the database.
Consider the SQL query in the code block. If there’s a 5-second delay before a response from the server, an attacker can confirm the
admin user’s password is
SELECT id FROM users WHERE username = 'a' OR IF((SELECT password FROM users WHERE username='admin')='P@ssw0rd123', SLEEP(5), NULL);-- -';
Rare and difficult injections to execute for an attacker because the attacker is unable to use the same channel to send the SQL query and gather results. Generally, these SQL injections will cause the database server to send HTTP or DNS requests containing SQL query results to an attacker-controlled server. From there, the attacker could review the log files to identify the query results.
One way SQL injections can be mitigated is through prepared statements. With prepared statements, the query we want to execute is provided to the database in advance. Any input is then treated as a parameter and will not be treated as SQL code.
This method is a nearly foolproof and reliable solution to SQL injections.
$username= $_GET['user']; // Set parameter$stmt = $conn->prepare("SELECT * FROM Users WHERE name = '?'"); // Prepare statement$stmt->bind_param("s", $username); // Bind parameter to SQL query$stmt->execute(); // Execute the SQL query
The npm package,
validator.js, is a library of string validators and sanitizers that includes functions to clean up data inputs, which helps mitigate SQL injections.
Some of the input validators include:
isEmail()- Checks if the input is a valid email address
isLength()- Checks if the input is a certain length
isCurrency()- Checks if the input is currency-formatted
isMobilePhone()- Checks is the input is a valid mobile phone number
Some of the sanitizers include:
normalizeEmail()- Removes formatting on email inputs to remove potentially dangerous characters
"characters that could be confused with HTML entities