FKIE_CVE-2019-0222
Vulnerability from fkie_nvd - Published: 2019-03-28 22:29 - Updated: 2026-06-17 02:08
Severity
Summary
In Apache ActiveMQ 5.0.0 - 5.15.8, unmarshalling corrupt MQTT frame can lead to broker Out of Memory exception making it unresponsive.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| apache | activemq | * | |
| netapp | e-series_santricity_web_services | - | |
| oracle | communications_diameter_signaling_router | 8.0.0 | |
| oracle | communications_diameter_signaling_router | 8.1 | |
| oracle | communications_diameter_signaling_router | 8.2 | |
| oracle | communications_diameter_signaling_router | 8.2.1 | |
| oracle | enterprise_manager_base_platform | 12.1.0.5.0 | |
| oracle | enterprise_manager_base_platform | 13.2.0.0.0 | |
| oracle | enterprise_manager_base_platform | 13.3.0.0.0 | |
| oracle | enterprise_repository | 12.1.3.0.0 | |
| oracle | goldengate_stream_analytics | * | |
| oracle | identity_manager_connector | 9.0 | |
| debian | debian_linux | 9.0 |
{
"affected": [
{
"affectedData": [
{
"product": "Apache ActiveMQ",
"vendor": "Apache",
"versions": [
{
"status": "affected",
"version": "Apache ActiveMQ 5.0.0 - 5.15.8"
}
]
}
],
"source": "security@apache.org"
}
],
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}
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In Apache ActiveMQ 5.0.0 - 5.15.8, unmarshalling corrupt MQTT frame can lead to broker Out of Memory exception making it unresponsive."
},
{
"lang": "es",
"value": "En Apache ActiveMQ, desde la versi\u00f3n 5.0.0 hasta la 5.15.8, la deserializaci\u00f3n de una trama MQTT corrupta puede conducir a una excepci\u00f3n de br\u00f3ker fuera de memoria, haciendo que no responda."
}
],
"id": "CVE-2019-0222",
"lastModified": "2026-06-17T02:08:01.337",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2019-03-28T22:29:00.433",
"references": [
{
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"tags": [
"Mitigation",
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],
"url": "http://activemq.apache.org/security-advisories.data/CVE-2019-0222-announcement.txt"
},
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"vulnStatus": "Modified",
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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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