SQL Injection
    
     SQL injection is a technique where an attacker exploits flaws in
     application code responsible for building dynamic SQL queries.
     The attacker can gain access to privileged sections of the application,
     retrieve all information from the database, tamper with existing data,
     or even execute dangerous system-level commands on the database
     host. The vulnerability occurs when developers concatenate or
     interpolate arbitrary input in their SQL statements.
    
    
     
      Example #1 
       Splitting the result set into pages ... and making superusers
       (PostgreSQL)
      
      
       In the following example, user input is directly interpolated into the
       SQL query allowing the attacker to gain a superuser account in the database.
      
<?php
$offset = $_GET['offset']; // beware, no input validation!
$query  = "SELECT id, name FROM products ORDER BY name LIMIT 20 OFFSET $offset;";
$result = pg_query($conn, $query);
?>
       
      
      Normal users click on the 'next', 'prev' links where the 
$offset
      is encoded into the 
URL. The script expects that the incoming
      
$offset is a number. However, what if someone tries to
      break in by appending the following to the 
URL
      
      If it happened, the script would present a superuser access to the attacker.
      Note that 
0; is to supply a valid offset to the
      original query and to terminate it.
    
    
Note: 
     
      It is a common technique to force the SQL parser to ignore the rest of the
      query written by the developer with -- which is the
      comment sign in SQL.
     
    
    
     A feasible way to gain passwords is to circumvent your search result pages.
     The only thing the attacker needs to do is to see if there are any submitted variables
     used in SQL statements which are not handled properly. These filters can be set
     commonly in a preceding form to customize WHERE, ORDER BY,
     LIMIT and OFFSET clauses in SELECT
     statements. If your database supports the UNION construct,
     the attacker may try to append an entire query to the original one to list
     passwords from an arbitrary table. It is strongly recommended to store only
     secure hashes of passwords instead of the passwords themselves.
     
      Example #2 
       Listing out articles ... and some passwords (any database server)
      
      
<?php
$query  = "SELECT id, name, inserted, size FROM products
           WHERE size = '$size'";
$result = odbc_exec($conn, $query);
?>
       
      
     The static part of the query can be combined with another
     
SELECT statement which reveals all passwords:
     
    
    
     UPDATE and INSERT statements are also
     susceptible to such attacks.
     
     Example #3 
      From resetting a password ... to gaining more privileges (any database server)
     
      
<?php
$query = "UPDATE usertable SET pwd='$pwd' WHERE uid='$uid';";
?>
       
      
     If a malicious user submits the value
     
' or uid like'%admin% to 
$uid to
     change the admin's password, or simply sets 
$pwd to
     
hehehe', trusted=100, admin='yes to gain more 
     privileges, then the query will be twisted:
     
    
    
     While it remains obvious that an attacker must possess at least some
     knowledge of the database architecture to conduct a successful
     attack, obtaining this information is often very simple. For example,
     the code may be part of an open-source software and be publicly available.
     This information may also be divulged
     by closed-source code - even if it's encoded, obfuscated, or compiled -
     and even by your own code through the display of error messages.
     Other methods include the use of typical table and column names.  For
     example, a login form that uses a 'users' table with column names
     'id', 'username', and 'password'.
    
    
     
     Example #4 Attacking the database host operating system (MSSQL Server)
      
       A frightening example of how operating system-level commands can be
       accessed on some database hosts.
      
<?php
$query  = "SELECT * FROM products WHERE id LIKE '%$prod%'";
$result = mssql_query($query);
?>
       
      
     If attacker submits the value
     
a%' exec master..xp_cmdshell 'net user test testpass /ADD' --
     to 
$prod, then the 
$query will be:
     
     MSSQL Server executes the SQL statements in the batch including a command
     to add a new user to the local accounts database. If this application
     were running as 
sa and the MSSQLSERVER service was
     running with sufficient privileges, the attacker would now have an
     account with which to access this machine.
    
    
Note: 
     
      Some examples above are tied to a specific database server, but it
      does not mean that a similar attack is impossible against other products.
      Your database server may be similarly vulnerable in another manner.
     
    
    
     
    
    
     Avoidance Techniques
     
      The recommended way to avoid SQL injection is by binding all data via
      prepared statements. Using parameterized queries isn't enough to entirely
      avoid SQL injection, but it is the easiest and safest way to provide input
      to SQL statements. All dynamic data literals in WHERE,
      SET, and VALUES clauses must be
      replaced with placeholders. The actual data will be bound during the
      execution and sent separately from the SQL command.
     
     
      Parameter binding can only be used for data. Other dynamic parts of the
      SQL query must be filtered against a known list of allowed values.
     
     
      
      Example #5 Avoiding SQL injection by using PDO prepared statements
       
<?php
// The dynamic SQL part is validated against expected values
$sortingOrder = $_GET['sortingOrder'] === 'DESC' ? 'DESC' : 'ASC';
$productId = $_GET['productId'];
// The SQL is prepared with a placeholder
$stmt = $pdo->prepare("SELECT * FROM products WHERE id LIKE ? ORDER BY price {$sortingOrder}");
// The value is provided with LIKE wildcards
$stmt->execute(["%{$productId}%"]);
?>
        
       
     
     
      Prepared statements are provided
      by PDO,
      by MySQLi,
      and by other database libraries.
     
     
      SQL injection attacks are mainly based on exploiting the code not being written
      with security in mind. Never trust any input, especially
      from the client side, even though it comes from a select box,
      a hidden input field, or a cookie. The first example shows that such a
      simple query can cause disasters.
     
     
      A defense-in-depth strategy involves several good coding practices:
      
       - 
        
         Never connect to the database as a superuser or as the database owner.
         Use always customized users with minimal privileges.
        
       
- 
        
         Check if the given input has the expected data type. PHP has
         a wide range of input validating functions, from the simplest ones
         found in Variable Functions and
         in Character Type Functions
         (e.g. is_numeric(), ctype_digit()
         respectively) and onwards to the
         Perl Compatible Regular Expressions
         support.
        
       
- 
        
         If the application expects numerical input, consider verifying data
         with ctype_digit(), silently change its type
         using settype(), or use its numeric representation
         by sprintf().
        
       
- 
        
         If the database layer doesn't support binding variables then
         quote each non-numeric user-supplied value that is passed to the
         database with the database-specific string escape function (e.g.
         mysql_real_escape_string(),
         sqlite_escape_string(), etc.).
         Generic functions like addslashes() are useful only
         in a very specific environment (e.g. MySQL in a single-byte character
         set with disabled NO_BACKSLASH_ESCAPES), so it is
         better to avoid them.
        
       
- 
        
         Do not print out any database-specific information, especially
         about the schema, by fair means or foul. See also Error Reporting and Error Handling and Logging Functions.
        
       
      Besides these, you benefit from logging queries either within your script
      or by the database itself, if it supports logging. Obviously, the logging is unable
      to prevent any harmful attempt, but it can be helpful to trace back which
      application has been circumvented. The log is not useful by itself but
      through the information it contains. More detail is generally better than less.