FKIE_CVE-2019-16942
Vulnerability from fkie_nvd - Published: 2019-10-01 17:15 - Updated: 2026-06-17 02:23
Severity
Summary
A Polymorphic Typing issue was discovered in FasterXML jackson-databind 2.0.0 through 2.9.10. When Default Typing is enabled (either globally or for a specific property) for an externally exposed JSON endpoint and the service has the commons-dbcp (1.4) jar in the classpath, and an attacker can find an RMI service endpoint to access, it is possible to make the service execute a malicious payload. This issue exists because of org.apache.commons.dbcp.datasources.SharedPoolDataSource and org.apache.commons.dbcp.datasources.PerUserPoolDataSource mishandling.
References
Impacted products
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A Polymorphic Typing issue was discovered in FasterXML jackson-databind 2.0.0 through 2.9.10. When Default Typing is enabled (either globally or for a specific property) for an externally exposed JSON endpoint and the service has the commons-dbcp (1.4) jar in the classpath, and an attacker can find an RMI service endpoint to access, it is possible to make the service execute a malicious payload. This issue exists because of org.apache.commons.dbcp.datasources.SharedPoolDataSource and org.apache.commons.dbcp.datasources.PerUserPoolDataSource mishandling."
},
{
"lang": "es",
"value": "Se descubri\u00f3 un problema de escritura polim\u00f3rfica en FasterXML jackson-databind versi\u00f3n 2.0.0 hasta 2.9.10. Cuando la Escritura Predeterminada est\u00e1 habilitada (tanto globalmente o para una propiedad espec\u00edfica) para un end point JSON expuesto externamente y el servicio posee el jar commons-dbcp (versi\u00f3n 1.4) en el classpath, y un atacante puede encontrar un end point de servicio RMI para acceder, es posible lograr que el servicio ejecute una carga maliciosa. Este problema se presenta debido a un manejo inapropiado de org.apache.commons.dbcp.datasources.SharedPoolDataSource y org.apache.commons.dbcp.datasources.PerUserPoolDataSource"
}
],
"id": "CVE-2019-16942",
"lastModified": "2026-06-17T02:23:00.187",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "HIGH",
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"authentication": "NONE",
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"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
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"obtainAllPrivilege": false,
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"source": "nvd@nist.gov",
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"source": "nvd@nist.gov",
"type": "Primary"
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},
"published": "2019-10-01T17:15:10.323",
"references": [
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
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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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