CVE-2020-11655 (GCVE-0-2020-11655)
Vulnerability from cvelistv5 – Published: 2020-04-09 02:49 – Updated: 2024-08-04 11:35
VLAI
EPSS
VEX
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.
Severity
7.5 (High)
CWE
- n/a
Assigner
References
14 references
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Advisory\"]},{\"url\":\"https://www.oracle.com/security-alerts/cpuApr2021.html\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://www.oracle.com/security-alerts/cpujan2021.html\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://www.oracle.com/security-alerts/cpujul2020.html\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://www.oracle.com/security-alerts/cpuoct2020.html\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"https://www.tenable.com/security/tns-2021-14\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Release Notes\",\"Third Party Advisory\"]},{\"url\":\"https://www3.sqlite.org/cgi/src/info/4a302b42c7bf5e11\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Patch\",\"Vendor Advisory\"]},{\"url\":\"https://www3.sqlite.org/cgi/src/tktview?name=af4556bb5c\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Vendor Advisory\"]}]}}",
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2025-12-23T08:58:42+00:00",
"cve": "CVE-2020-11655",
"id": "CVE-2020-11655",
"initial_release_date": "2020-04-03T00:00:00+00:00",
"product_status:fixed": "78",
"product_status:known_not_affected": "32",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "sqlite: malformed window-function query leads to DoS",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-11655.json",
"version": "3"
}
}
}
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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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