CWE-90
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.
CVE-2025-27686 (GCVE-0-2025-27686)
Vulnerability from cvelistv5 – Published: 2025-04-07 13:23 – Updated: 2025-04-07 13:58- CWE-90 - Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
| URL | Tags |
|---|---|
| https://www.dell.com/support/kbdoc/en-ao/00030222… | vendor-advisory |
| Vendor | Product | Version | |
|---|---|---|---|
| Dell | Unisphere for PowerMax |
Affected:
N/A , < 9.2.4.15
(semver)
Affected: N/A , < 10.2.0.9 (semver) |
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CVE-2025-35431 (GCVE-0-2025-35431)
Vulnerability from cvelistv5 – Published: 2025-09-17 16:52 – Updated: 2025-09-30 15:27- CWE-90 - Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
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CVE-2025-4573 (GCVE-0-2025-4573)
Vulnerability from cvelistv5 – Published: 2025-06-11 10:22 – Updated: 2025-06-11 13:13- CWE-90 - Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
| Vendor | Product | Version | |
|---|---|---|---|
| Mattermost | Mattermost |
Affected:
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CVE-2025-48208 (GCVE-0-2025-48208)
Vulnerability from cvelistv5 – Published: 2025-09-09 09:31 – Updated: 2025-11-04 21:10- CWE-90 - Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
| URL | Tags |
|---|---|
| https://lists.apache.org/thread/3zrr3oo67pxxx7wgz… | vendor-advisory |
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache HertzBeat (incubating) |
Affected:
0 , ≤ 1.7.2
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CVE-2025-52575 (GCVE-0-2025-52575)
Vulnerability from cvelistv5 – Published: 2025-07-21 17:48 – Updated: 2025-07-21 18:09- CWE-90 - Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
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CVE-2025-67493 (GCVE-0-2025-67493)
Vulnerability from cvelistv5 – Published: 2025-12-17 21:09 – Updated: 2026-05-22 20:41| URL | Tags |
|---|---|
| https://github.com/homarr-labs/homarr/security/ad… | x_refsource_CONFIRM |
| Vendor | Product | Version | |
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| homarr-labs | homarr |
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< 1.45.3
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CVE-2026-0636 (GCVE-0-2026-0636)
Vulnerability from cvelistv5 – Published: 2026-04-15 08:59 – Updated: 2026-05-18 23:20- CWE-90 - Improper neutralization of special elements used in an LDAP query ('LDAP injection')
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|---|---|---|---|
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CVE-2026-1498 (GCVE-0-2026-1498)
Vulnerability from cvelistv5 – Published: 2026-01-30 13:02 – Updated: 2026-02-02 16:32- CWE-90 - Improper Neutralization of Special Elements used in an LDAP Query ('LDAP Injection')
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|---|---|---|---|
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12.0 , ≤ 12.11.6
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CVE-2026-21880 (GCVE-0-2026-21880)
Vulnerability from cvelistv5 – Published: 2026-01-08 00:59 – Updated: 2026-01-08 18:29| URL | Tags |
|---|---|
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"name": "https://github.com/kanboard/kanboard/releases/tag/v1.2.49",
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"advisory": "GHSA-v66r-m28r-wmq7",
"discovery": "UNKNOWN"
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"title": "Kanboard LDAP Injection Vulnerability can Lead to User Enumeration and Information Disclosure"
}
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"datePublished": "2026-01-08T00:59:20.338Z",
"dateReserved": "2026-01-05T17:24:36.928Z",
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CVE-2026-24130 (GCVE-0-2026-24130)
Vulnerability from cvelistv5 – Published: 2026-01-22 22:53 – Updated: 2026-01-23 20:03| URL | Tags |
|---|---|
| https://github.com/Arksine/moonraker/security/adv… | x_refsource_CONFIRM |
| https://github.com/Arksine/moonraker/commit/74c5d… | x_refsource_MISC |
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"vendor": "Arksine",
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"value": "Moonraker is a Python web server providing API access to Klipper 3D printing firmware. In versions 0.9.3 and below, instances configured with the \"ldap\" component enabled are vulnerable to LDAP search filter injection techniques via the login endpoint. The 401 error response message can be used to determine whether or not a search was successful, allowing for brute force methods to discover LDAP entries on the server such as user IDs and user attributes. This issue has been fixed in version 0.10.0."
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"title": "Moonraker with LDAP Enabled Allows Malicious Search Filter Injection"
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Mitigation ID: MIT-5
Phase: Implementation
Strategy: Input Validation
Description:
- Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list 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. This 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, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
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.