Improper Neutralization of Special Elements in Data Query Logic
The product generates a query intended to access or manipulate data in a data store such as a database, but it does not neutralize or incorrectly neutralizes special elements that can modify the intended logic of the query.
Description
Depending on the capabilities of the query language, an attacker could inject additional logic into the query to:
Modify the intended selection criteria, thus changing which data entities (e.g., records) are returned, modified, or otherwise manipulated
Append additional commands to the query
Return more entities than intended
Return fewer entities than intended
Cause entities to be sorted in an unexpected way
The ability to execute additional commands or change which entities are returned has obvious risks. But when the product logic depends on the order or number of entities, this can also lead to vulnerabilities. For example, if the query expects to return only one entity that specifies an administrative user, but an attacker can change which entities are returned, this could cause the logic to return information for a regular user and incorrectly assume that the user has administrative privileges.
While this weakness is most commonly associated with SQL injection, there are many other query languages that are also subject to injection attacks, including HTSQL, LDAP, DQL, XQuery, Xpath, and "NoSQL" languages.
Demonstrations
The following examples help to illustrate the nature of this weakness and describe methods or techniques which can be used to mitigate the risk.
Note that the examples here are by no means exhaustive and any given weakness may have many subtle varieties, each of which may require different detection methods or runtime controls.
Example One
The following code dynamically constructs and executes a SQL query that searches for items matching a specified name. The query restricts the items displayed to those where owner matches the user name of the currently-authenticated user.
The query that this code intends to execute follows:
However, because the query is constructed dynamically by concatenating a constant base query string and a user input string, the query only behaves correctly if itemName does not contain a single-quote character. If an attacker with the user name wiley enters the string:
for itemName, then the query becomes the following:
The addition of the:
condition causes the WHERE clause to always evaluate to true, so the query becomes logically equivalent to the much simpler query:
This simplification of the query allows the attacker to bypass the requirement that the query only return items owned by the authenticated user; the query now returns all entries stored in the items table, regardless of their specified owner.
Example Two
The code below constructs an LDAP query using user input address data:
Because the code fails to neutralize the address string used to construct the query, an attacker can supply an address that includes additional LDAP queries.
Example Three
Consider the following simple XML document that stores authentication information and a snippet of Java code that uses XPath query to retrieve authentication information:
The Java code used to retrieve the home directory based on the provided credentials is:
Assume that user "john" wishes to leverage XPath Injection and login without a valid password. By providing a username "john" and password "' or ''='" the XPath expression now becomes
This lets user "john" login without a valid password, thus bypassing authentication.
See Also
Weaknesses in this category are related to injection.
Weaknesses in this category are related to the A1 category in the OWASP Top Ten 2017.
Weaknesses in this category are related to the design and architecture of a system's input validation components. Frequently these deal with sanitizing, neutralizing a...
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