FKIE_CVE-2020-11655
Vulnerability from fkie_nvd - Published: 2020-04-09 03:15 - Updated: 2026-06-17 02:50
Severity
Summary
SQLite through 3.31.1 allows attackers to cause a denial of service (segmentation fault) via a malformed window-function query because the AggInfo object's initialization is mishandled.
References
Impacted products
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"descriptions": [
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"lang": "en",
"value": "SQLite through 3.31.1 allows attackers to cause a denial of service (segmentation fault) via a malformed window-function query because the AggInfo object\u0027s initialization is mishandled."
},
{
"lang": "es",
"value": "SQLite versiones hasta 3.31.1, permite a atacantes causar una denegaci\u00f3n de servicio (fallo de segmentaci\u00f3n) por medio de una consulta de una funci\u00f3n de window malformada porque la inicializaci\u00f3n el objeto AggInfo es manejada inapropiadamente."
}
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"id": "CVE-2020-11655",
"lastModified": "2026-06-17T02:50:33.890",
"metrics": {
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"baseSeverity": "MEDIUM",
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
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"published": "2020-04-09T03:15:11.363",
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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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