FKIE_CVE-2014-0878
Vulnerability from fkie_nvd - Published: 2014-05-26 19:55 - Updated: 2026-06-17 00:03
Severity
Summary
The IBMSecureRandom component in the IBMJCE and IBMSecureRandom cryptographic providers in IBM SDK Java Technology Edition 5.0 before Service Refresh 16 FP6, 6 before Service Refresh 16, 6.0.1 before Service Refresh 8, 7 before Service Refresh 7, and 7R1 before Service Refresh 1 makes it easier for context-dependent attackers to defeat cryptographic protection mechanisms by predicting the random number generator's output.
References
Impacted products
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"value": "The IBMSecureRandom component in the IBMJCE and IBMSecureRandom cryptographic providers in IBM SDK Java Technology Edition 5.0 before Service Refresh 16 FP6, 6 before Service Refresh 16, 6.0.1 before Service Refresh 8, 7 before Service Refresh 7, and 7R1 before Service Refresh 1 makes it easier for context-dependent attackers to defeat cryptographic protection mechanisms by predicting the random number generator\u0027s output."
},
{
"lang": "es",
"value": "El componente IBMSecureRandom en los proveedores criptogr\u00e1ficos IBMJCE y IBMSecureRandom en IBM SDK Java Technology Edition 5.0 anterior a Service Refresh 16 FP6, 6 anterior a Service Refresh 16, 6.0.1 anterior a Service Refresh 8, 7 anterior a Service Refresh 7 y 7R1 anterior a Service Refresh 1 facilita a atacantes dependientes de contexto anular mecanismos de protecci\u00f3n criptogr\u00e1ficos mediante la predicci\u00f3n de la salida del generador de n\u00fameros aleatorias."
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"id": "CVE-2014-0878",
"lastModified": "2026-06-17T00:03:48.143",
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
"version": "2.0"
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"published": "2014-05-26T19:55:04.263",
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{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.ibm.com/support/docview.wss?uid=swg21675588"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.ibm.com/support/docview.wss?uid=swg21677387"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/bid/67601"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/91084"
}
],
"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-310"
}
],
"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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