FKIE_CVE-2014-8147
Vulnerability from fkie_nvd - Published: 2015-05-25 22:59 - Updated: 2026-06-17 00:16
Severity
Summary
The resolveImplicitLevels function in common/ubidi.c in the Unicode Bidirectional Algorithm implementation in ICU4C in International Components for Unicode (ICU) before 55.1 uses an integer data type that is inconsistent with a header file, which allows remote attackers to cause a denial of service (incorrect malloc followed by invalid free) or possibly execute arbitrary code via crafted text.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| apple | mac_os_x | * | |
| apple | watchos | * | |
| icu-project | international_components_for_unicode | * |
{
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"vendor": "n/a",
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],
"source": "secalert@redhat.com"
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "The resolveImplicitLevels function in common/ubidi.c in the Unicode Bidirectional Algorithm implementation in ICU4C in International Components for Unicode (ICU) before 55.1 uses an integer data type that is inconsistent with a header file, which allows remote attackers to cause a denial of service (incorrect malloc followed by invalid free) or possibly execute arbitrary code via crafted text."
},
{
"lang": "es",
"value": "La funci\u00f3n resolveImplicitLevels en common/ubidi.c en la implementaci\u00f3n Unicode Bidirectional Algorithm en ICU4C en International Components for Unicode (ICU) anterior a 55.1 utiliza un tipo de datos de enteros que es inconsistente con un fichero de cabeceras, lo que permite a atacantes remotos causar una denegaci\u00f3n de servicio (malloc incorrecto seguido por liberaci\u00f3n inv\u00e1lida) o posiblemente ejecutar c\u00f3digo arbitrario a trav\u00e9s de texto manipulado."
}
],
"id": "CVE-2014-8147",
"lastModified": "2026-06-17T00:16:22.690",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
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"accessVector": "NETWORK",
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"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"source": "nvd@nist.gov",
"type": "Primary",
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}
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},
"published": "2015-05-25T22:59:01.927",
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{
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"url": "http://www.kb.cert.org/vuls/id/602540"
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"url": "https://www.oracle.com/technetwork/security-advisory/cpuapr2019-5072813.html"
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
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"lang": "en",
"value": "CWE-189"
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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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