FKIE_CVE-2022-32744
Vulnerability from fkie_nvd - Published: 2022-08-25 18:15 - Updated: 2026-06-17 04:47
Severity
Summary
A flaw was found in Samba. The KDC accepts kpasswd requests encrypted with any key known to it. By encrypting forged kpasswd requests with its own key, a user can change other users' passwords, enabling full domain takeover.
References
{
"affected": [
{
"affectedData": [
{
"product": "samba",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Versions prior to samba 4.16.4, samba 4.15.9, samba 4.14.14"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:samba:samba:*:*:*:*:*:*:*:*",
"matchCriteriaId": "22161FC4-92E0-4340-A844-BA2DF50C94E7",
"versionEndExcluding": "4.14.14",
"versionStartIncluding": "4.3.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:samba:samba:*:*:*:*:*:*:*:*",
"matchCriteriaId": "1B0E54A3-23C1-497D-864D-EDF15D85FB81",
"versionEndExcluding": "4.15.9",
"versionStartIncluding": "4.15.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:samba:samba:*:*:*:*:*:*:*:*",
"matchCriteriaId": "8479455F-FFCD-46F1-B0E3-EBC082F89C16",
"versionEndExcluding": "4.16.4",
"versionStartIncluding": "4.16.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in Samba. The KDC accepts kpasswd requests encrypted with any key known to it. By encrypting forged kpasswd requests with its own key, a user can change other users\u0027 passwords, enabling full domain takeover."
},
{
"lang": "es",
"value": "Se ha encontrado un fallo en Samba. El KDC acepta solicitudes kpasswd cifradas con cualquier clave que conozca. Al cifrar las solicitudes kpasswd falsificadas con su propia clave, un usuario puede cambiar las contrase\u00f1as de otros usuarios, permitiendo una toma de control total del dominio."
}
],
"id": "CVE-2022-32744",
"lastModified": "2026-06-17T04:47:50.553",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-08-25T18:15:10.497",
"references": [
{
"source": "secalert@redhat.com",
"url": "https://security.gentoo.org/glsa/202309-06"
},
{
"source": "secalert@redhat.com",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://www.samba.org/samba/security/CVE-2022-32744.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://security.gentoo.org/glsa/202309-06"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://www.samba.org/samba/security/CVE-2022-32744.html"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-290"
}
],
"source": "secalert@redhat.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-290"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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Nomenclature
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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.
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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.
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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.