FKIE_CVE-2019-10173
Vulnerability from fkie_nvd - Published: 2019-07-23 13:15 - Updated: 2026-06-17 02:10
Severity
Summary
It was found that xstream API version 1.4.10 before 1.4.11 introduced a regression for a previous deserialization flaw. If the security framework has not been initialized, it may allow a remote attacker to run arbitrary shell commands when unmarshalling XML or any supported format. e.g. JSON. (regression of CVE-2013-7285)
References
Impacted products
{
"affected": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "It was found that xstream API version 1.4.10 before 1.4.11 introduced a regression for a previous deserialization flaw. If the security framework has not been initialized, it may allow a remote attacker to run arbitrary shell commands when unmarshalling XML or any supported format. e.g. JSON. (regression of CVE-2013-7285)"
},
{
"lang": "es",
"value": "Se encontr\u00f3 que la API de xstream versi\u00f3n 1.4.10 anterior a 1.4.11, introdujo una regresi\u00f3n para un fallo de deserializaci\u00f3n anterior. Si el framework security no ha sido inicializado, puede permitir a un atacante remoto ejecutar comandos de shell arbitrarios cuando se deserializa un XML o cualquier formato compatible. p.ej. JSON. (Regresi\u00f3n de CVE-2013-7285)"
}
],
"id": "CVE-2019-10173",
"lastModified": "2026-06-17T02:10:24.960",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
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"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",
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"published": "2019-07-23T13:15:13.177",
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"sourceIdentifier": "secalert@redhat.com",
"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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