FKIE_CVE-2026-39113
Vulnerability from fkie_nvd - Published: 2026-08-25 21:17 - Updated: 2026-08-31 16:17
Severity
Summary
Buffer Overflow vulnerability in SQLite affected version source snapshots/builds containing Fossil check-in 8bdc0d485e3ad0c7a1e818da66f106951d496b05cbe61d12c2c448f2f24b6d5d (Git mirror 169f68ed88b34cb68f720191c64c058f2ccec508, 2026-03-11) and later snapshots/builds allows an attacker to cause a denial of service via the ext/misc/sqlar.c, sqlarUncompressFunc(), sqlar_uncompress(), sqlite3_value_int64(), sqlite3_malloc(int), uncompress() components
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Buffer Overflow vulnerability in SQLite affected version source snapshots/builds containing Fossil check-in 8bdc0d485e3ad0c7a1e818da66f106951d496b05cbe61d12c2c448f2f24b6d5d (Git mirror 169f68ed88b34cb68f720191c64c058f2ccec508, 2026-03-11) and later snapshots/builds allows an attacker to cause a denial of service via the ext/misc/sqlar.c, sqlarUncompressFunc(), sqlar_uncompress(), sqlite3_value_int64(), sqlite3_malloc(int), uncompress() components"
}
],
"id": "CVE-2026-39113",
"lastModified": "2026-08-31T16:17:59.350",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "LOW",
"baseScore": 4.0,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 2.5,
"impactScore": 1.4,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-39113",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-31T15:11:24.751518Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-25T21:17:00.080",
"references": [
{
"source": "cve@mitre.org",
"url": "https://github.com/20000419/CVE-2026-39113"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/sqlite/sqlite/blob/169f68ed88b34cb68f720191c64c058f2ccec508/ext/misc/sqlar.c"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/sqlite/sqlite/commit/169f68ed88b34cb68f720191c64c058f2ccec508"
},
{
"source": "cve@mitre.org",
"url": "https://www.sqlite.org/"
},
{
"source": "cve@mitre.org",
"url": "https://www.sqlite.org/sqlar.html"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-122"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
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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.
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.
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