FKIE_CVE-2016-6793
Vulnerability from fkie_nvd - Published: 2017-07-17 13:18 - Updated: 2026-06-17 00:51
Severity
Summary
The DiskFileItem class in Apache Wicket 6.x before 6.25.0 and 1.5.x before 1.5.17 allows remote attackers to cause a denial of service (infinite loop) and write to, move, and delete files with the permissions of DiskFileItem, and if running on a Java VM before 1.3.1, execute arbitrary code via a crafted serialized Java object.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"versionEndExcluding": "1.5.17",
"versionStartIncluding": "1.5.0",
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "The DiskFileItem class in Apache Wicket 6.x before 6.25.0 and 1.5.x before 1.5.17 allows remote attackers to cause a denial of service (infinite loop) and write to, move, and delete files with the permissions of DiskFileItem, and if running on a Java VM before 1.3.1, execute arbitrary code via a crafted serialized Java object."
},
{
"lang": "es",
"value": "La clase de DiskFileItem en Apache Wicket versi\u00f3n 6.x anterior a 6.25.0 y versi\u00f3n 1.5.x anterior a 1.5.17 permite a los atacantes remotos causar una denegaci\u00f3n de servicio (infinite loop) escribir, mover y eliminar archivos con los permisos de DiskFileItem, y Si se ejecuta en una m\u00e1quina virtual Java versi\u00f3n anterior a la 1.3.1, ejecute un c\u00f3digo arbitrario por medio de un objeto Java serializado creado."
}
],
"id": "CVE-2016-6793",
"lastModified": "2026-06-17T00:51:46.323",
"metrics": {
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"baseSeverity": "MEDIUM",
"cvssData": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.4,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
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"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
"version": "3.0"
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"published": "2017-07-17T13:18:06.500",
"references": [
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"url": "https://www.tenable.com/security/research/tra-2016-23"
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"url": "http://www.securityfocus.com/bid/95168"
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{
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
{
"lang": "en",
"value": "CWE-502"
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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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