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Top 10 2007-Injection Flaws-Finnish

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Esimerkki Haavoittuva sovellus etsii kirjautuessa käyttäjän tietokannasta seuraavalla tietokantakyselyllä:

"SELECT * FROM users WHERE username='" + username + "' AND password='" + password + "'"

Parametrit username ja password tulevat suoraan kirjautumislomakkeelta. Hyökkääjä antaa admin-käyttäjän salasanaksi: ' OR '1'='1

"SELECT * FROM users WHERE username='admin' AND password= OR '1'='1'"

Toimenpide näyttää sovellukselle onnistuneelta kirjautumiselta, vaikka oikea salasana ei ollut tiedossa.

Suositus Tarkasta kaikki syötekentät ja koodaa tietokanta- tai muissa taustajärjestelmäkyselyissä käytettävät erikoismerkit toiseen muotoon.

TODO: Käännä seuraavat

Injection flaws, particularly SQL injection, are unfortunately very common in web applications. There are many types of injections: SQL, Hibernate Query Language (HQL), LDAP, XPath, XQuery, XSLT, HTML, XML, OS command injection and many more.

Injection occurs when user-supplied data is sent to an interpreter as part of a command or query. Attackers trick the interpreter into executing unintended commands via supplying specially crafted data. Injection flaws allow attackers to create, read, update, or delete any arbitrary data available to the application. In the worst case scenario, these flaws allow an attacker to completely compromise the application and the underlying systems, even bypassing deeply nested firewalled environments.

Environments Affected

All web application frameworks that use interpreters or invoke other processes are vulnerable to injection attacks. This includes any components of the framework, that might use back-end interpreters.

Vulnerability

If user input is passed into an interpreter without validation or encoding, the application is vulnerable. Check if user input is supplied to dynamic queries, such as: 

PHP:
   $sql = "SELECT * FROM table WHERE id = '" . $_REQUEST['id'] . "'"; 

Java:
   String query = "SELECT user_id FROM user_data WHERE 
        user_name = '" + req.getParameter("userID") + "' and 
        user_password = '" + req.getParameter("pwd") +"'";

Verifying Security

The goal is to verify that user data cannot modify the meaning of commands and queries sent to any of the interpreters invoked by the application.

Automated approaches: Many vulnerability scanning tools search for injection problems, particularly SQL injection. Static analysis tools that search for uses of unsafe interpreter APIs are useful, but frequently cannot verify that appropriate validation or encoding might be in place to protect against the vulnerability. If the application catches 501 / 500 internal server errors, or detailed database errors, it can significantly hamper automated tools, but the code may still be at risk. Automated tools may be able to detect LDAP / XML injections / XPath injections.

Manual approaches: The most efficient and accurate approach is to check the code that invokes interpreters. The reviewer should verify the use of a safe API or that appropriate validation and/or encoding has occurred. Testing can be extremely time-consuming and with low coverageand spotty because the attack surface of most applications is so large.

Protection

Avoid the use of interpreters when possible. If you must invoke an interpreter, the key method to avoid injections is the use of safe APIs, such as strongly typed parameterized queries and object relational mapping (ORM) libraries that are immune to injection (be careful here - Hibernate, for example is NOT immune to injection by itself. You have to use named parameters to be safe in Hibernate). These interfaces handle all data escaping, or do not require escaping. Note that while safe interfaces solve the problem, validation is still recommended in order to detect attacks.

Using interpreters is dangerous, so it's worth it to take extra care, such as the following:

  • Input validation. Use a standard input validation mechanism to validate all input data for length, type, syntax, and business rules before accepting the data to be displayed or stored. Use an "accept known good" validation strategy. Reject invalid input rather than attempting to sanitize potentially hostile data. Do not forget that error messages might also include invalid data
  • Use strongly typed parameterized query APIs with placeholder substitution markers, even when calling stored procedures
  • Enforce least privilege when connecting to databases and other backend systems
  • Avoid detailed error messages that are useful to an attacker
  • Show care when using stored procedures since they are generally safe from SQL Injection. However, be careful as they can be injectable (such as via the use of exec() or concatenating arguments within the stored procedure)
  • Do not use dynamic query interfaces (such as mysql_query() or similar)
  • Do not use simple escaping functions, such as PHP's addslashes() or character replacement functions like str_replace("'", ""). These are weak and have been successfully exploited by attackers. For PHP, use mysql_real_escape_string() if using MySQL, or preferably use PDO which does not require escaping
  • When using simple escape mechanisms, note that simple escaping functions cannot escape table names! Table names must be legal SQL, and thus are completely unsuitable for user supplied input
  • Watch out for canonicalization errors. Inputs must be decoded and canonicalized to the application's current internal representation before being validated. Make sure that your application does not decode the same input twice. Such errors could be used to bypass whitelist schemes by introducing dangerous inputs after they have been checked

Language specific recommendations:

  • Java EE - use strongly typed PreparedStatement, or ORMs such as Spring or named parameters within Hibernate.
  • .NET - use strongly typed parameterized queries, such as SqlCommand with SqlParameter, or named parameters within Hibernate.
  • PHP - use PDO with strongly typed parameterized queries (using bindParam()).

Samples

Related Sites

References


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