FKIE_CVE-2017-12174
Vulnerability from fkie_nvd - Published: 2018-03-07 22:29 - Updated: 2026-06-17 01:02
Severity
Summary
It was found that when Artemis and HornetQ before 2.4.0 are configured with UDP discovery and JGroups discovery a huge byte array is created when receiving an unexpected multicast message. This may result in a heap memory exhaustion, full GC, or OutOfMemoryError.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| apache | artemis | * | |
| redhat | hornetq | * | |
| redhat | jboss_enterprise_application_platform | 6.4.0 | |
| redhat | jboss_enterprise_application_platform | 7.1.0 | |
| redhat | enterprise_linux | 7.0 | |
| redhat | jboss_enterprise_application_platform | 7.1.0 | |
| redhat | enterprise_linux | 6.0 | |
| redhat | enterprise_linux | 7.0 | |
| redhat | jboss_enterprise_application_platform | 6.0.0 | |
| redhat | jboss_enterprise_application_platform | 6.4.0 | |
| redhat | enterprise_linux | 5.0 | |
| redhat | enterprise_linux | 6.0 |
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"vendor": "Red Hat, Inc.",
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"source": "secalert@redhat.com"
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"value": "It was found that when Artemis and HornetQ before 2.4.0 are configured with UDP discovery and JGroups discovery a huge byte array is created when receiving an unexpected multicast message. This may result in a heap memory exhaustion, full GC, or OutOfMemoryError."
},
{
"lang": "es",
"value": "Se ha descubierto que cuando Artemis y HornetQ, en versiones anteriores a la 2.4.0, se configuran con detecci\u00f3n UDP y detecci\u00f3n JGroups, se crea un array con muchos bytes al recibir un mensaje multicast inesperado. Esto podr\u00eda resultar en un agotamiento de la memoria din\u00e1mica (heap), GC completo o OutOfMemoryError."
}
],
"id": "CVE-2017-12174",
"lastModified": "2026-06-17T01:02:50.413",
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 7.8,
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"version": "2.0"
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"scope": "UNCHANGED",
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"published": "2018-03-07T22:29:00.243",
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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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