FKIE_CVE-2015-1117
Vulnerability from fkie_nvd - Published: 2015-04-10 14:59 - Updated: 2026-06-17 00:21
Severity
Summary
The (1) setreuid and (2) setregid system-call implementations in the kernel in Apple iOS before 8.3, Apple OS X before 10.10.3, and Apple TV before 7.2 do not properly perform privilege drops, which makes it easier for attackers to execute code with unintended user or group privileges via a crafted app.
References
{
"affected": [
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"versions": [
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"value": "The (1) setreuid and (2) setregid system-call implementations in the kernel in Apple iOS before 8.3, Apple OS X before 10.10.3, and Apple TV before 7.2 do not properly perform privilege drops, which makes it easier for attackers to execute code with unintended user or group privileges via a crafted app."
},
{
"lang": "es",
"value": "Las implementaciones de llamadas a sistemas (1) setreuid y (2) setregid en el kernel en Apple iOS anterior a 8.3, Apple OS X anterior a 10.10.3, y Apple TV anterior a 7.2 no realizan correctamente la eliminaci\u00f3n de privilegios, lo que facilita a atacantes ejecutar c\u00f3digo con privilegios de usuario o grupo no intencionados a trav\u00e9s de una aplicaci\u00f3n manipulada."
}
],
"id": "CVE-2015-1117",
"lastModified": "2026-06-17T00:21:48.493",
"metrics": {
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"baseSeverity": "MEDIUM",
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"accessVector": "LOCAL",
"authentication": "NONE",
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"vectorString": "AV:L/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
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"obtainAllPrivilege": false,
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"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
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"published": "2015-04-10T14:59:31.747",
"references": [
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"sourceIdentifier": "product-security@apple.com",
"vulnStatus": "Modified",
"weaknesses": [
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"value": "CWE-264"
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"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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