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CWE-90: Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')

 
Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
Weakness ID: 90 (Weakness Base)Status: Draft
+ Description

Description Summary

The software constructs all or part of an LDAP query using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended LDAP query when it is sent to a downstream component.
+ Time of Introduction
  • Architecture and Design
  • Implementation
+ Applicable Platforms

Languages

All

Technology Classes

Database-Server

+ Common Consequences
ScopeEffect
Confidentiality
Integrity
Availability

Technical Impact: Execute unauthorized code or commands; Read application data; Modify application data

An attacker could include input that changes the LDAP query which allows unintended commands or code to be executed, allows sensitive data to be read or modified or causes other unintended behavior.

+ Demonstrative Examples

Example 1

The code below constructs an LDAP query using user input address data:

(Bad Code)
Example Language: Java 
context = new InitialDirContext(env);
String searchFilter = "StreetAddress=" + address;
NamingEnumeration answer = context.search(searchBase, searchFilter, searchCtls);

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.

+ Observed Examples
ReferenceDescription
Server does not properly escape LDAP queries, which allows remote attackers to cause a DoS and possibly conduct an LDAP injection attack.
+ Potential Mitigations

Phase: Implementation

Strategy: Input Validation

Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a whitelist of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.

When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."

Do not rely exclusively on looking for malicious or malformed inputs (i.e., do not rely on a blacklist). A blacklist is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, blacklists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.

+ Relationships
NatureTypeIDNameView(s) this relationship pertains toView(s)
ChildOfCategoryCategory713OWASP Top Ten 2007 Category A2 - Injection Flaws
Weaknesses in OWASP Top Ten (2007) (primary)629
ChildOfCategoryCategory810OWASP Top Ten 2010 Category A1 - Injection
Weaknesses in OWASP Top Ten (2010) (primary)809
ChildOfCategoryCategory929OWASP Top Ten 2013 Category A1 - Injection
Weaknesses in OWASP Top Ten (2013) (primary)928
ChildOfWeakness ClassWeakness Class943Improper Neutralization of Special Elements in Data Query Logic
Development Concepts (primary)699
Research Concepts (primary)1000
ChildOfCategoryCategory990SFP Secondary Cluster: Tainted Input to Command
Software Fault Pattern (SFP) Clusters (primary)888
MemberOfViewView884CWE Cross-section
CWE Cross-section (primary)884
+ Relationship Notes

Factors: resultant to special character mismanagement, MAID, or blacklist/whitelist problems. Can be primary to authentication and verification errors.

+ Research Gaps

Under-reported. This is likely found very frequently by third party code auditors, but there are very few publicly reported examples.

+ Taxonomy Mappings
Mapped Taxonomy NameNode IDFitMapped Node Name
PLOVERLDAP injection
OWASP Top Ten 2007A2CWE More SpecificInjection Flaws
WASC29LDAP Injection
Software Fault PatternsSFP24Tainted input to command
+ References
SPI Dynamics. "Web Applications and LDAP Injection".
+ Content History
Submissions
Submission DateSubmitterOrganizationSource
PLOVERExternally Mined
Modifications
Modification DateModifierOrganizationSource
2008-07-01Sean EidemillerCigitalExternal
added/updated demonstrative examples
2008-07-01Eric DalciCigitalExternal
updated Time_of_Introduction
2008-09-08CWE Content TeamMITREInternal
updated Applicable_Platforms, Relationships, Other_Notes, Taxonomy_Mappings
2009-05-27CWE Content TeamMITREInternal
updated Name
2009-10-29CWE Content TeamMITREInternal
updated Other_Notes, Relationship_Notes
2010-02-16CWE Content TeamMITREInternal
updated Relationships, Taxonomy_Mappings
2010-06-21CWE Content TeamMITREInternal
updated Demonstrative_Examples, Description, Name, Potential_Mitigations, Relationships
2011-06-01CWE Content TeamMITREInternal
updated Common_Consequences
2012-05-11CWE Content TeamMITREInternal
updated Common_Consequences, Observed_Examples, Related_Attack_Patterns, Relationships
2012-10-30CWE Content TeamMITREInternal
updated Demonstrative_Examples, Potential_Mitigations
2014-06-23CWE Content TeamMITREInternal
updated Relationships
2014-07-30CWE Content TeamMITREInternal
updated Relationships, Taxonomy_Mappings
Previous Entry Names
Change DatePrevious Entry Name
2008-04-11LDAP Injection
2009-05-27Failure to Sanitize Data into LDAP Queries (aka 'LDAP Injection')
2010-06-21Failure to Sanitize Data into LDAP Queries ('LDAP Injection')
Page Last Updated: July 30, 2014