FKIE_CVE-2026-103880
Vulnerability from fkie_nvd - Published: 2026-10-02 10:17 - Updated: 2026-10-02 22:16
Severity
Summary
Asymmetric Resource Consumption vulnerability in Apache Directory LDAP API.
Storing a password using the bcrypt algorithm with a high force like 30 in a LDAP server that supports this algorithm will cause the server CPU to run for hours checking the credentials. A bounded cost should be enforced to avoid a server DOS.
This issue affects Apache Directory LDAP API: from 2.1.0 before 2.1.9.
Users are recommended to upgrade to version 2.1.9, which fixes the issue.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://repo.maven.apache.org/maven2",
"defaultStatus": "unaffected",
"packageName": "org.apache.directory.api:api-ldap-model",
"packageURL": "pkg:maven/org.apache.directory.api/api-ldap-model",
"product": "Apache Directory LDAP API",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThan": "2.1.9",
"status": "affected",
"version": "2.1.0",
"versionType": "semver"
}
]
}
],
"source": "security@apache.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Asymmetric Resource Consumption\u00a0vulnerability in Apache Directory LDAP API.\n\n\n\nStoring a password using the bcrypt algorithm with a high force like 30 in a LDAP server that supports this algorithm will cause the server CPU to\u00a0 run for hours checking the credentials. A bounded cost should be enforced to avoid a server DOS.\n\n\n\nThis issue affects Apache Directory LDAP API: from 2.1.0 before 2.1.9.\n\n\n\nUsers are recommended to upgrade to version 2.1.9, which fixes the issue."
}
],
"id": "CVE-2026-103880",
"lastModified": "2026-10-02T22:16:53.777",
"metrics": {},
"published": "2026-10-02T10:17:06.700",
"references": [
{
"source": "security@apache.org",
"url": "https://lists.apache.org/thread.html/39q63m54v9go6xj7pqj7q18c3szn9go4"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.openwall.com/lists/oss-security/2026/10/02/7"
}
],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-405"
}
],
"source": "security@apache.org",
"type": "Secondary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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