Szczegóły CWE-90

CWE-90

Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
Draft
2006-07-19
00h00 +00:00
2025-12-11
00h00 +00:00
CWE Mitre.org
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Nazwa: Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')

The product 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.

Informacje ogólne

Sposoby wprowadzenia

Implementation : REALIZATION: This weakness is caused during implementation of an architectural security tactic.

Odpowiednie platformy

Język

Class: Not Language-Specific (Undetermined)

Technologie

Name: Database Server (Undetermined)

Typowe konsekwencje

Zakres Wpływ Prawdopodobieństwo
Confidentiality
Integrity
Availability		Execute Unauthorized Code or Commands, Read Application Data, Modify Application Data

Note: 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.

Zaobserwowane przykłady

Odniesienia Opis

CVE-2021-41232

Chain: authentication routine in Go-based agile development product does not escape user name (CWE-116), allowing LDAP injection (CWE-90)

CVE-2005-2301

Server does not properly escape LDAP queries, which allows remote attackers to cause a DoS and possibly conduct an LDAP injection attack.

Potencjalne środki zaradcze

Phases : Implementation

Metody wykrywania

Automated Static Analysis

Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.)
Skuteczność : High

Uwagi dotyczące mapowania podatności

Uzasadnienie : This CWE entry is at the Base level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities.
Komentarz : Carefully read both the name and description to ensure that this mapping is an appropriate fit. Do not try to 'force' a mapping to a lower-level Base/Variant simply to comply with this preferred level of abstraction.

Powiązane wzorce ataków

CAPEC-ID Nazwa wzorca ataku
CAPEC-136 LDAP Injection
An attacker manipulates or crafts an LDAP query for the purpose of undermining the security of the target. Some applications use user input to create LDAP queries that are processed by an LDAP server. For example, a user might provide their username during authentication and the username might be inserted in an LDAP query during the authentication process. An attacker could use this input to inject additional commands into an LDAP query that could disclose sensitive information. For example, entering a * in the aforementioned query might return information about all users on the system. This attack is very similar to an SQL injection attack in that it manipulates a query to gather additional information or coerce a particular return value.

Notatki

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

Odniesienia

REF-879

Web Applications and LDAP Injection
SPI Dynamics.

Zgłoszenie

Nazwa Organizacja Data Data wydania Version
PLOVER 2006-07-19 +00:00 2006-07-19 +00:00 Draft 3

Modyfikacje

Nazwa Organizacja Data Komentarz
Sean Eidemiller Cigital 2008-07-01 +00:00 added/updated demonstrative examples
Eric Dalci Cigital 2008-07-01 +00:00 updated Time_of_Introduction
CWE Content Team MITRE 2008-09-08 +00:00 updated Applicable_Platforms, Relationships, Other_Notes, Taxonomy_Mappings
CWE Content Team MITRE 2009-05-27 +00:00 updated Name
CWE Content Team MITRE 2009-10-29 +00:00 updated Other_Notes, Relationship_Notes
CWE Content Team MITRE 2010-02-16 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2010-06-21 +00:00 updated Demonstrative_Examples, Description, Name, Potential_Mitigations, Relationships
CWE Content Team MITRE 2011-06-01 +00:00 updated Common_Consequences
CWE Content Team MITRE 2012-05-11 +00:00 updated Common_Consequences, Observed_Examples, Related_Attack_Patterns, Relationships
CWE Content Team MITRE 2012-10-30 +00:00 updated Demonstrative_Examples, Potential_Mitigations
CWE Content Team MITRE 2014-06-23 +00:00 updated Relationships
CWE Content Team MITRE 2014-07-30 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2015-12-07 +00:00 updated Relationships
CWE Content Team MITRE 2017-11-08 +00:00 updated Applicable_Platforms, Modes_of_Introduction, Relationships
CWE Content Team MITRE 2018-03-27 +00:00 updated Relationships
CWE Content Team MITRE 2019-06-20 +00:00 updated Relationships
CWE Content Team MITRE 2020-02-24 +00:00 updated Potential_Mitigations, Relationships
CWE Content Team MITRE 2020-06-25 +00:00 updated Potential_Mitigations, Relationship_Notes
CWE Content Team MITRE 2020-08-20 +00:00 updated Relationships
CWE Content Team MITRE 2020-12-10 +00:00 updated Relationships
CWE Content Team MITRE 2021-10-28 +00:00 updated Relationships
CWE Content Team MITRE 2022-04-28 +00:00 updated Research_Gaps
CWE Content Team MITRE 2022-10-13 +00:00 updated Observed_Examples
CWE Content Team MITRE 2023-01-31 +00:00 updated Description
CWE Content Team MITRE 2023-04-27 +00:00 updated Detection_Factors, Relationships, Time_of_Introduction
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2024-02-29 +00:00 updated Demonstrative_Examples
CWE Content Team MITRE 2025-12-11 +00:00 updated Relationships, Weakness_Ordinalities
Informacje prezentowane na CVE Find pochodzą z kilku starannie wybranych źródeł referencyjnych. Dane CVE są dostarczane przez MITRE Corporation i Narodową Bazę Podatności (NVD). Katalog znanych eksploatowanych podatności (KEV) pochodzi z Agencji ds. Bezpieczeństwa Cyberprzestrzeni i Infrastruktury (CISA), natomiast wyniki EPSS pochodzą z FIRST.org. Ponadto dane dotyczące słabości oprogramowania (CWE) i typowych wzorców ataków (CAPEC) są utrzymywane przez MITRE Corporation, a informacje o konfiguracjach sprzętu i oprogramowania (CPE) są dostarczane przez NVD.