FKIE_CVE-2014-0368
Vulnerability from fkie_nvd - Published: 2014-01-15 16:08 - Updated: 2026-06-17 00:02
Severity
Summary
Unspecified vulnerability in Oracle Java SE 5.0u55, 6u65, and 7u45, and Java SE Embedded 7u45, allows remote attackers to affect confidentiality via unknown vectors related to Networking. NOTE: the previous information is from the January 2014 CPU. Oracle has not commented on third-party claims that the issue is related to incorrect permission checks when listening on a socket, which allows attackers to escape the sandbox.
References
{
"affected": [
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"affectedData": [
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"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert_us@oracle.com"
}
],
"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Unspecified vulnerability in Oracle Java SE 5.0u55, 6u65, and 7u45, and Java SE Embedded 7u45, allows remote attackers to affect confidentiality via unknown vectors related to Networking. NOTE: the previous information is from the January 2014 CPU. Oracle has not commented on third-party claims that the issue is related to incorrect permission checks when listening on a socket, which allows attackers to escape the sandbox."
},
{
"lang": "es",
"value": "Vulnerabilidad no especificada en Oracle Java SE 5.0u55, 6u65 y 7u45, y Java SE Embedded 7u45, permite a atacantes remotos afectar a la confidencialidad a trav\u00e9s de vectores desconocidos relacionados con Networking."
}
],
"evaluatorComment": "Per: http://www.oracle.com/technetwork/topics/security/cpujan2014-1972949.html\n\n\"Applies to client deployment of Java only. This vulnerability can be exploited only through sandboxed Java Web Start applications and sandboxed Java applets.\"",
"id": "CVE-2014-0368",
"lastModified": "2026-06-17T00:02:52.610",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
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"published": "2014-01-15T16:08:06.687",
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"url": "http://secunia.com/advisories/56485"
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],
"source": "nvd@nist.gov",
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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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