FKIE_CVE-2019-19959
Vulnerability from fkie_nvd - Published: 2020-01-03 22:15 - Updated: 2026-06-17 02:27
Severity
Summary
ext/misc/zipfile.c in SQLite 3.30.1 mishandles certain uses of INSERT INTO in situations involving embedded '\0' characters in filenames, leading to a memory-management error that can be detected by (for example) valgrind.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| sqlite | sqlite | 3.30.1 | |
| canonical | ubuntu_linux | 16.04 | |
| canonical | ubuntu_linux | 18.04 | |
| canonical | ubuntu_linux | 19.10 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "ext/misc/zipfile.c in SQLite 3.30.1 mishandles certain uses of INSERT INTO in situations involving embedded \u0027\\0\u0027 characters in filenames, leading to a memory-management error that can be detected by (for example) valgrind."
},
{
"lang": "es",
"value": "El archivo ext/misc/zipfile.c en SQLite versi\u00f3n 3.30.1, maneja inapropiadamente ciertos usos de INSERT INTO en situaciones que involucran caracteres \"\\0\" insertados en los nombres de archivo, conllevando a un error de administraci\u00f3n de memoria que puede ser detectado por valgrind (por ejemplo)."
}
],
"id": "CVE-2019-19959",
"lastModified": "2026-06-17T02:27:31.177",
"metrics": {
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{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 2.9,
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"source": "nvd@nist.gov",
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"cvssMetricV31": [
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
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"source": "nvd@nist.gov",
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},
"published": "2020-01-03T22:15:12.550",
"references": [
{
"source": "cve@mitre.org",
"tags": [
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"url": "https://github.com/sqlite/sqlite/commit/1e490c4ca6b43a9cf8637d695907888349f69bec"
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"url": "https://usn.ubuntu.com/4298-1/"
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"url": "https://www.oracle.com/security-alerts/cpuapr2020.html"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"lang": "en",
"value": "NVD-CWE-Other"
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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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