I also would prefer not to manually strip-out SQL specials like % or _. AleksandrPanarin pushed a commit that referenced this issue on Apr 23, 2019. vbezruchkin assigned AleksandrPanarin on Apr 22, 2019.
#PDO SQL INJECTION PORTABLE#
Note: I must remain portable and use PDO function, so mysql_escape_string() is not a solution. There is a time-based sql injection if use PDO 817. Could you please confirm that this is the correct way to do it? If not, please provide a failing example. This looks better to me, but, still, I'm not 100% sure that this would be sql-injection free. $arrParam = array(":user_input_placeholder" => $user_input) The short answer is NO, PDO prepares will not defend you from all possible SQL-Injection attacks. SELECT fields FROM table WHERE field1 LIKE CONCAT('%', :user_input_placeholder, '%') Someone over at SO seems to agree and proposes to do this: Thus, it will delete all rows from the users table. Suppose a hacker is trying to inject an SQL injection through the ‘firstname’ HTTP query parameter using the POST method: POSTfirstname ' DELETE FROM users /' If the injection escapes, it will be added in the query as it is. īut this string concatenation doesn't feel safe at all to me: if the user provides 'user_%_input' that percent won't be escaped and will be parsed as a SQL special char. Both PDO and MySQLi provide SQL injection security. $arrParam = array(":user_input_placeholder" => '%'. SELECT fields FROM table WHERE field1 LIKE :user_input_placeholder So my first thought is using PDO as I'm doing everywhere else: I must make this happen in a sql-injection safe way. SELECT fields FROM table WHERE field1 LIKE %user_input% After that, the app must do something conceptually like this against a MySQL db
This information may include any number of items, including sensitive company data, user lists or private customer details.
#PDO SQL INJECTION CODE#
I'm developing a user-facing, public-accessible website where the user can input an arbitrary, hostile search term. SQL injection, also known as SQLI, is a common attack vector that uses malicious SQL code for backend database manipulation to access information that was not intended to be displayed.
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