FKIE_CVE-2016-0376
Vulnerability from fkie_nvd - Published: 2016-06-03 14:59 - Updated: 2026-06-17 00:37
Severity
Summary
The com.ibm.rmi.io.SunSerializableFactory class in IBM SDK, Java Technology Edition 6 before SR16 FP25 (6.0.16.25), 6 R1 before SR8 FP25 (6.1.8.25), 7 before SR9 FP40 (7.0.9.40), 7 R1 before SR3 FP40 (7.1.3.40), and 8 before SR3 (8.0.3.0) does not properly deserialize classes in an AccessController doPrivileged block, which allows remote attackers to bypass a sandbox protection mechanism and execute arbitrary code as demonstrated by the readValue method of the com.ibm.rmi.io.ValueHandlerPool.ValueHandlerSingleton class, which implements the javax.rmi.CORBA.ValueHandler interface. NOTE: this vulnerability exists because of an incomplete fix for CVE-2013-5456.
References
Impacted products
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"value": "La clase com.ibm.rmi.io.SunSerializableFactory en IBM SDK, Java Technology Edition 6 en versiones anteriores a SR16 FP25 (6.0.16.25), 6 R1 en versiones anteriores a SR8 FP25 (6.1.8.25), 7 en versiones anteriores a SR9 FP40 (7.0.9.40), 7 R1 en versiones anteriores a SR3 FP40 (7.1.3.40) y 8 en versiones anteriores a SR3 (8.0.3.0) no deserializa correctamente las clases en un bloque AccessController doPrivileged, lo que permite a atacantes remotos eludir un mecanismo de protecci\u00f3n sandbox y ejecutar c\u00f3digo arbitrario como se demuestra mediante el m\u00e9todo readValue de la clase com.ibm.rmi.io.ValueHandlerPool.ValueHandlerSingleton, lo que implementa la interfaz javax.rmi.CORBA.ValueHandler. NOTA: esta vulnerabilidad existe debido a una soluci\u00f3n incompleta para CVE-2013-5456."
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"evaluatorComment": "\u003ca href=\"http://cwe.mitre.org/data/definitions/502.html\" rel=\"nofollow\"\u003eCWE-502: Deserialization of Untrusted Data\u003c/a\u003e",
"id": "CVE-2016-0376",
"lastModified": "2026-06-17T00:37:25.393",
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{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://access.redhat.com/errata/RHSA-2017:1216"
}
],
"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
],
"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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