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CWE-90 詳細資料

CWE-90

Improper Neutralization of Special Elements used in an LDAP Query
2006-07-19
00h00 +00:00
Draft
2026-10-28
00h00 +00:00
CWE Mitre.org
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名稱: Improper Neutralization of Special Elements used in an LDAP Query

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.

一般資訊

引入方式

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

適用平台

程式語言

類別： Not Language-Specific (Undetermined)

技術

名稱： Database Server (Undetermined)

常見後果

範圍 影響 可能性
Confidentiality
Integrity
Availability		Execute Unauthorized Code or Commands, Read Application Data, Modify Application Data

注意：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.

觀察到的案例

參考資料 描述

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.

潛在緩解措施

Phases : Implementation

偵測方法

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.)
有效性 : High

漏洞對應備注

理由說明 : 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.
備註 : 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.

相關攻擊模式

CAPEC ID 攻擊模式名稱
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.

備注

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

參考資料

REF-879

Web Applications and LDAP Injection
SPI Dynamics.

REF-1534

Automated Technical Debt Measure, Version 2
OMG.
https://www.omg.org/spec/ATDM2/1.0/PDF

提交

名稱 機構 日期 發布日期 Version
PLOVER 2006-07-19 +00:00 2006-07-19 +00:00 Draft 3

修改記錄

名稱 機構 日期 備註
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
CWE Content Team MITRE 2026-10-28 +00:00 updated Alternate_Terms, Name, References
cvefind.com 上呈現的資訊來自多個精心挑選的參考來源。CVE 資料由 MITRE Corporation 和 國家漏洞資料庫（NVD）提供。已知被利用漏洞（KEV）目錄來自 網路安全暨基礎設施安全局（CISA），而 EPSS 評分來自 FIRST.org。此外，軟體弱點（CWE）和常見攻擊模式（CAPEC）的資料由 MITRE Corporation 維護，硬軟體配置（CPE）資訊由 NVD 提供。