FKIE_CVE-2008-3283
Vulnerability from fkie_nvd - Published: 2008-08-29 18:41 - Updated: 2026-06-16 22:55
Severity
Summary
Multiple memory leaks in Red Hat Directory Server 7.1 before SP7, Red Hat Directory Server 8, and Fedora Directory Server 1.1.1 and earlier allow remote attackers to cause a denial of service (memory consumption) via vectors involving (1) the authentication / bind phase and (2) anonymous LDAP search requests.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| fedora | directory_server | 1.1.1 | |
| redhat | directory_server | 7.1 | |
| redhat | directory_server | 7.1 | |
| redhat | directory_server | 7.1 | |
| redhat | directory_server | 7.1 | |
| redhat | directory_server | 7.1 | |
| redhat | directory_server | 7.1 | |
| redhat | directory_server | 8.0 |
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"value": "Multiple memory leaks in Red Hat Directory Server 7.1 before SP7, Red Hat Directory Server 8, and Fedora Directory Server 1.1.1 and earlier allow remote attackers to cause a denial of service (memory consumption) via vectors involving (1) the authentication / bind phase and (2) anonymous LDAP search requests."
},
{
"lang": "es",
"value": "M\u00faltiples fugas de memoria en Red Hat Directory Server 7.1 anteriores al SP7, Red Hat Directory Server 8, y Fedora Directory Server 1.1.1 y anteriores, permiten a atacantes remotos provocar una denegaci\u00f3n de servicio (consumo de memoria) a trav\u00e9s de vectores que involucran: (1) la fase de autenticaci\u00f3n/asignaci\u00f3n y (2) peticiones de b\u00fasqueda LDAP an\u00f3nimas.\r\n\r\n"
}
],
"id": "CVE-2008-3283",
"lastModified": "2026-06-16T22:55:32.213",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.8,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.9,
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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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