FKIE_CVE-2008-2932
Vulnerability from fkie_nvd - Published: 2008-09-12 16:56 - Updated: 2026-06-16 22:54
Severity
Summary
Heap-based buffer overflow in Red Hat adminutil 1.1.6 allows remote attackers to cause a denial of service (daemon crash) or possibly execute arbitrary code via % (percent) encoded HTTP input to unspecified CGI scripts in Fedora Directory Server. NOTE: this vulnerability exists because of an incorrect fix for CVE-2008-2929.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:redhat:adminutil:1.1.6:*:*:*:*:*:*:*",
"matchCriteriaId": "285B1605-4657-4400-B68E-B30722AD6D8C",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Heap-based buffer overflow in Red Hat adminutil 1.1.6 allows remote attackers to cause a denial of service (daemon crash) or possibly execute arbitrary code via % (percent) encoded HTTP input to unspecified CGI scripts in Fedora Directory Server. NOTE: this vulnerability exists because of an incorrect fix for CVE-2008-2929."
},
{
"lang": "es",
"value": "Desbordamiento de b\u00fafer basado en pila en la utilidad adminutil versi\u00f3n 1.1.6 de Red Hat permite a atacantes remotos provocar una denegaci\u00f3n de servicio (parada inesperada del demonio) o la posibilidad de ejecutar c\u00f3digo de su elecci\u00f3n al utilizar caracteres % (tanto por ciento) en las entradas HTTP codificadas de m\u00f3dulos CGI no especificados en Fedora Directory Server. NOTA: esta vulnerabilidad es debida a una err\u00f3nea correcci\u00f3n de CVE-2008-2929."
}
],
"id": "CVE-2008-2932",
"lastModified": "2026-06-16T22:54:45.600",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": true,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2008-09-12T16:56:20.447",
"references": [
{
"source": "secalert@redhat.com",
"tags": [
"Vendor Advisory"
],
"url": "http://secunia.com/advisories/31777"
},
{
"source": "secalert@redhat.com",
"url": "http://www.securityfocus.com/bid/31106"
},
{
"source": "secalert@redhat.com",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=454662"
},
{
"source": "secalert@redhat.com",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/45203"
},
{
"source": "secalert@redhat.com",
"url": "https://www.redhat.com/archives/fedora-package-announce/2008-September/msg00218.html"
},
{
"source": "secalert@redhat.com",
"url": "https://www.redhat.com/archives/fedora-package-announce/2008-September/msg00449.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "http://secunia.com/advisories/31777"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/bid/31106"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=454662"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/45203"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://www.redhat.com/archives/fedora-package-announce/2008-September/msg00218.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://www.redhat.com/archives/fedora-package-announce/2008-September/msg00449.html"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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