FKIE_CVE-2014-0061
Vulnerability from fkie_nvd - Published: 2014-03-31 14:58 - Updated: 2026-06-17 00:02
Severity
Summary
The validator functions for the procedural languages (PLs) in PostgreSQL before 8.4.20, 9.0.x before 9.0.16, 9.1.x before 9.1.12, 9.2.x before 9.2.7, and 9.3.x before 9.3.3 allow remote authenticated users to gain privileges via a function that is (1) defined in another language or (2) not allowed to be directly called by the user due to permissions.
References
Impacted products
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"source": "secalert@redhat.com"
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],
"negate": false,
"operator": "OR"
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]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The validator functions for the procedural languages (PLs) in PostgreSQL before 8.4.20, 9.0.x before 9.0.16, 9.1.x before 9.1.12, 9.2.x before 9.2.7, and 9.3.x before 9.3.3 allow remote authenticated users to gain privileges via a function that is (1) defined in another language or (2) not allowed to be directly called by the user due to permissions."
},
{
"lang": "es",
"value": "Las funciones de validaci\u00f3n para los lenguajes procedurales (PLs) en PostgreSQL anterior a 8.4.20, 9.0.x anterior a 9.0.16, 9.1.x anterior a 9.1.12, 9.2.x anterior a 9.2.7 y 9.3.x anterior a 9.3.3 permiten a usuarios remotos autenticados ganar privilegios a trav\u00e9s de una funci\u00f3n que (1) est\u00e1 definida en otro lenguaje o (2) no est\u00e1 permitida su llamada directa por el usuario debido a permisos."
}
],
"id": "CVE-2014-0061",
"lastModified": "2026-06-17T00:02:10.890",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2014-03-31T14:58:15.383",
"references": [
{
"source": "secalert@redhat.com",
"url": "http://archives.neohapsis.com/archives/bugtraq/2014-10/0103.html"
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"source": "secalert@redhat.com",
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},
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"url": "http://support.apple.com/kb/HT6448"
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{
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{
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{
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"url": "http://rhn.redhat.com/errata/RHSA-2014-0469.html"
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{
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"url": "http://support.apple.com/kb/HT6448"
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{
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-264"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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Nomenclature
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.