CVE-2026-39113 (GCVE-0-2026-39113)
Vulnerability from cvelistv5 – Published: 2026-08-25 00:00 – Updated: 2026-08-25 21:07
VLAI
EPSS
VEX
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
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
{
"containers": {
"cna": {
"affected": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"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"
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "n/a",
"lang": "en",
"type": "text"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-25T21:07:43.564Z",
"orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"shortName": "mitre"
},
"references": [
{
"url": "https://www.sqlite.org/"
},
{
"url": "https://github.com/sqlite/sqlite/commit/169f68ed88b34cb68f720191c64c058f2ccec508"
},
{
"url": "https://github.com/sqlite/sqlite/blob/169f68ed88b34cb68f720191c64c058f2ccec508/ext/misc/sqlar.c"
},
{
"url": "https://www.sqlite.org/sqlar.html"
},
{
"url": "https://github.com/20000419/CVE-2026-39113"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"assignerShortName": "mitre",
"cveId": "CVE-2026-39113",
"datePublished": "2026-08-25T00:00:00.000Z",
"dateReserved": "2026-04-06T00:00:00.000Z",
"dateUpdated": "2026-08-25T21:07:43.564Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-39113",
"date": "2026-08-26",
"epss": "0.0028",
"percentile": "0.19988"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-39113\",\"sourceIdentifier\":\"cve@mitre.org\",\"published\":\"2026-08-25T21:17:00.080\",\"lastModified\":\"2026-08-25T21:17:00.080\",\"vulnStatus\":\"Received\",\"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\"}],\"affected\":[{\"source\":\"cve@mitre.org\",\"affectedData\":[{\"vendor\":\"n/a\",\"product\":\"n/a\",\"versions\":[{\"version\":\"n/a\",\"status\":\"affected\"}]}]}],\"metrics\":{},\"references\":[{\"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\",\"source\":\"cve@mitre.org\"}]}}"
}
}
Loading…
Loading…
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.
Loading…
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.
Loading…
Loading…