FKIE_CVE-2019-0192
Vulnerability from fkie_nvd - Published: 2019-03-07 21:29 - Updated: 2026-06-17 02:07
Severity
Summary
In Apache Solr versions 5.0.0 to 5.5.5 and 6.0.0 to 6.6.5, the Config API allows to configure the JMX server via an HTTP POST request. By pointing it to a malicious RMI server, an attacker could take advantage of Solr's unsafe deserialization to trigger remote code execution on the Solr side.
References
{
"affected": [
{
"affectedData": [
{
"product": "Apache Solr",
"vendor": "Apache Software Foundation",
"versions": [
{
"status": "affected",
"version": "Apache Solr 5.0.0 to 5.5.5 and 6.0.0 to 6.6.5"
}
]
}
],
"source": "security@apache.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:apache:solr:*:*:*:*:*:*:*:*",
"matchCriteriaId": "50F420BE-F670-4C2E-BC9E-7198EC88E165",
"versionEndIncluding": "5.5.5",
"versionStartIncluding": "5.0.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:apache:solr:*:*:*:*:*:*:*:*",
"matchCriteriaId": "4015560B-9475-4F31-994B-5BA3E7D8B2AB",
"versionEndIncluding": "6.6.5",
"versionStartIncluding": "6.0.0",
"vulnerable": true
}
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"negate": false,
"operator": "OR"
}
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In Apache Solr versions 5.0.0 to 5.5.5 and 6.0.0 to 6.6.5, the Config API allows to configure the JMX server via an HTTP POST request. By pointing it to a malicious RMI server, an attacker could take advantage of Solr\u0027s unsafe deserialization to trigger remote code execution on the Solr side."
},
{
"lang": "es",
"value": "En Apache Solr, desde la versi\u00f3n 5.0.0 hasta la 6.0.0 y desde la 6.0.0 hasta la 6.6.5, el API Config permite la configuraci\u00f3n del servidor JMX con una petici\u00f3n HTTP POST. Al redirigirlo a un servidor RMI malicioso, un atacante podr\u00eda aprovecharse de la deserializaci\u00f3n insegura de Solr para desencadenar una ejecuci\u00f3n remota de c\u00f3digo en el lado de Solr.."
}
],
"id": "CVE-2019-0192",
"lastModified": "2026-06-17T02:07:55.243",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
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"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2019-03-07T21:29:00.203",
"references": [
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"url": "https://access.redhat.com/errata/RHSA-2019:2413"
},
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"url": "https://lists.apache.org/thread.html/42c5682f4acd1d03bd963e4f47ae448d7cff66c16b19142773818892%40%3Cdev.lucene.apache.org%3E"
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"url": "https://www.oracle.com/security-alerts/cpuoct2020.html"
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"url": "https://www.oracle.com/technetwork/security-advisory/cpujul2019-5072835.html"
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"url": "https://access.redhat.com/errata/RHSA-2019:2413"
},
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{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://www.oracle.com/security-alerts/cpuoct2020.html"
},
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"url": "https://www.oracle.com/technetwork/security-advisory/cpujul2019-5072835.html"
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],
"sourceIdentifier": "security@apache.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
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"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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