FKIE_CVE-2011-1010
Vulnerability from fkie_nvd - Published: 2011-03-01 23:00 - Updated: 2026-06-16 23:28
Severity
Summary
Buffer overflow in the mac_partition function in fs/partitions/mac.c in the Linux kernel before 2.6.37.2 allows local users to cause a denial of service (panic) or possibly have unspecified other impact via a malformed Mac OS partition table.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| linux | linux_kernel | * |
{
"affected": [
{
"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
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"versionEndExcluding": "2.6.37.2",
"vulnerable": true
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Buffer overflow in the mac_partition function in fs/partitions/mac.c in the Linux kernel before 2.6.37.2 allows local users to cause a denial of service (panic) or possibly have unspecified other impact via a malformed Mac OS partition table."
},
{
"lang": "es",
"value": "Desbordamiento de b\u00fafer en la funci\u00f3n mac_partition en fs/partitions/mac.c en el kernel de Linux anteriores a v2.6.37.2, permite a usuarios locales causar una denegaci\u00f3n de servicio (p\u00e1nico) o posiblemente tener un impacto no especificado a trav\u00e9s de una tabla de particiones con formato incorrecto de Mac OS."
}
],
"id": "CVE-2011-1010",
"lastModified": "2026-06-16T23:28:33.010",
"metrics": {
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{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 4.9,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
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}
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},
"published": "2011-03-01T23:00:03.067",
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{
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
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]
}
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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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