GHSA-G4FP-96FC-XC72
Vulnerability from github – Published: 2026-08-25 21:31 – Updated: 2026-08-25 21:31
VLAI
Details
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
{
"affected": [],
"aliases": [
"CVE-2026-39113"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-25T21:17:00Z",
"severity": null
},
"details": "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": "GHSA-g4fp-96fc-xc72",
"modified": "2026-08-25T21:31:30Z",
"published": "2026-08-25T21:31:30Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-39113"
},
{
"type": "WEB",
"url": "https://github.com/sqlite/sqlite/commit/169f68ed88b34cb68f720191c64c058f2ccec508"
},
{
"type": "WEB",
"url": "https://github.com/20000419/CVE-2026-39113"
},
{
"type": "WEB",
"url": "https://github.com/sqlite/sqlite/blob/169f68ed88b34cb68f720191c64c058f2ccec508/ext/misc/sqlar.c"
},
{
"type": "WEB",
"url": "https://www.sqlite.org"
},
{
"type": "WEB",
"url": "https://www.sqlite.org/sqlar.html"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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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