OPENSUSE-SU-2019:1372-1
Vulnerability from csaf_opensuse - Published: 2019-05-10 11:28 - Updated: 2026-09-20 18:50Summary
Security update for sqlite3
Severity
Moderate
Notes
Title of the patch: Security update for sqlite3
Description of the patch: This update for sqlite3 to version 3.28.0 fixes the following issues:
Security issues fixed:
- CVE-2019-9936: Fixed a heap-based buffer over-read, when running fts5 prefix
queries inside transaction (bsc#1130326).
- CVE-2019-9937: Fixed a denial of service related to interleaving reads and writes in
a single transaction with an fts5 virtual table (bsc#1130325).
This update was imported from the SUSE:SLE-15:Update update project.
Patchnames: openSUSE-2019-1372
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Recommended
8 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Leap 15.0:libsqlite3-0-0:3.28.0-lp150.2.6.1.i586 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.0:libsqlite3-0-0:3.28.0-lp150.2.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.0:libsqlite3-0-32bit-0:3.28.0-lp150.2.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.0:sqlite3-0:3.28.0-lp150.2.6.1.i586 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.0:sqlite3-0:3.28.0-lp150.2.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.0:sqlite3-devel-0:3.28.0-lp150.2.6.1.i586 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.0:sqlite3-devel-0:3.28.0-lp150.2.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.0:sqlite3-doc-0:3.28.0-lp150.2.6.1.noarch | — |
Vendor Fix
|
Threats
Impact
low
Affected products
Recommended
8 products, the same list as for
CVE-2019-9936
Threats
Impact
low
References
14 references
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"category": "vendor_fix",
"details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n",
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"scores": [
{
"cvss_v3": {
"baseScore": 3.3,
"baseSeverity": "LOW",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
"version": "3.0"
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"threats": [
{
"category": "impact",
"date": "2019-05-10T11:28:27Z",
"details": "low"
}
],
"title": "CVE-2019-9937"
}
]
}
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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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