FKIE_CVE-2019-16892
Vulnerability from fkie_nvd - Published: 2019-09-25 22:15 - Updated: 2026-06-17 02:22
Severity
Summary
In Rubyzip before 1.3.0, a crafted ZIP file can bypass application checks on ZIP entry sizes because data about the uncompressed size can be spoofed. This allows attackers to cause a denial of service (disk consumption).
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| rubyzip_project | rubyzip | * | |
| fedoraproject | fedora | 29 | |
| fedoraproject | fedora | 30 | |
| fedoraproject | fedora | 31 | |
| redhat | cloudforms | 4.7 | |
| redhat | cloudforms | 5.11 |
{
"affected": [
{
"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
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"cveTags": [],
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"value": "In Rubyzip before 1.3.0, a crafted ZIP file can bypass application checks on ZIP entry sizes because data about the uncompressed size can be spoofed. This allows attackers to cause a denial of service (disk consumption)."
},
{
"lang": "es",
"value": "En Rubyzip versiones anteriores a 1.3.0, un archivo ZIP dise\u00f1ado puede omitir las comprobaciones de la aplicaci\u00f3n en los tama\u00f1os de entrada ZIP porque los datos sobre el tama\u00f1o sin comprimir pueden ser falsificados. Esto permite a atacantes causar una denegaci\u00f3n de servicio (consumo de disco)."
}
],
"id": "CVE-2019-16892",
"lastModified": "2026-06-17T02:22:54.730",
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"accessVector": "NETWORK",
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"baseScore": 7.1,
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"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:C",
"version": "2.0"
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"exploitabilityScore": 8.6,
"impactScore": 6.9,
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"source": "nvd@nist.gov",
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"baseScore": 5.5,
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"published": "2019-09-25T22:15:10.023",
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"tags": [
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"lang": "en",
"value": "NVD-CWE-noinfo"
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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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