FKIE_CVE-2012-4512
Vulnerability from fkie_nvd - Published: 2020-02-08 19:15 - Updated: 2026-06-16 23:45
Severity
Summary
The CSS parser (khtml/css/cssparser.cpp) in Konqueror in KDE 4.7.3 allows remote attackers to cause a denial of service (crash) and possibly read memory via a crafted font face source, related to "type confusion."
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| kde | kde | 4.7.3 | |
| redhat | enterprise_linux | 6.0 | |
| redhat | enterprise_linux_desktop | 6.0 | |
| redhat | enterprise_linux_server_eus | 6.3 | |
| redhat | enterprise_linux_workstation | 6.0 |
{
"affected": [
{
"affectedData": [
{
"product": "Konqueror",
"vendor": "KDE",
"versions": [
{
"status": "affected",
"version": "4.7.3"
}
]
}
],
"source": "secalert@redhat.com"
}
],
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}
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The CSS parser (khtml/css/cssparser.cpp) in Konqueror in KDE 4.7.3 allows remote attackers to cause a denial of service (crash) and possibly read memory via a crafted font face source, related to \"type confusion.\""
},
{
"lang": "es",
"value": "El analizador CSS (archivo khtml/css/cssparser.cpp) en Konqueror en KDE versi\u00f3n 4.7.3, permite a atacantes remotos causar una denegaci\u00f3n de servicio (bloqueo) y posiblemente leer la memoria por medio de una fuente font face dise\u00f1ada, relacionada con \"type confusion.\""
}
],
"id": "CVE-2012-4512",
"lastModified": "2026-06-16T23:45:14.233",
"metrics": {
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"baseSeverity": "MEDIUM",
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
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"impactScore": 6.4,
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"obtainOtherPrivilege": false,
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
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"scope": "UNCHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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},
"published": "2020-02-08T19:15:10.473",
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-843"
}
],
"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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