PYSEC-2026-62
Vulnerability from pysec - Published: 2026-01-30 19:16 - Updated: 2026-05-20 09:19
VLAI
Details
SQL injection vulnerability in geopandas before v.1.1.2 allows an attacker to obtain sensitive information via the to_postgis()` function being used to write GeoDataFrames to a PostgreSQL database.
Severity
8.6 (High)
Impacted products
| Name | purl | geopandas | pkg:pypi/geopandas |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "geopandas",
"purl": "pkg:pypi/geopandas"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.1.2"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.1.0",
"0.1.0.dev-120828c",
"0.1.0.dev-120d5ee",
"0.1.0.dev-189a35c",
"0.1.0.dev-1edddad",
"0.1.0.dev-2be7de8",
"0.1.0.dev-2d642e0",
"0.1.0.dev-3ebcae0",
"0.1.0.dev-40ec104",
"0.1.0.dev-53f669a",
"0.1.0.dev-6c816f0",
"0.1.0.dev-7788a17",
"0.1.0.dev-8144a45",
"0.1.0.dev-a7b594e",
"0.1.0.dev-a91e8ab",
"0.1.0.dev-abb4137",
"0.1.0.dev-c770a5c",
"0.1.0.dev-fea5c40",
"0.1.1",
"0.10.0",
"0.10.1",
"0.10.2",
"0.11.0",
"0.11.1",
"0.12.0",
"0.12.1",
"0.12.2",
"0.13.0",
"0.13.1",
"0.13.2",
"0.14.0",
"0.14.1",
"0.14.2",
"0.14.3",
"0.14.4",
"0.1dev",
"0.2",
"0.2.1",
"0.3.0",
"0.4.0",
"0.4.1",
"0.5.0",
"0.5.1",
"0.6.0",
"0.6.0rc1",
"0.6.1",
"0.6.2",
"0.6.3",
"0.7.0",
"0.8.0",
"0.8.1",
"0.8.2",
"0.9.0",
"1.0.0",
"1.0.0a1",
"1.0.0rc1",
"1.0.1",
"1.1.0",
"1.1.1"
]
}
],
"aliases": [
"CVE-2025-69662"
],
"details": "SQL injection vulnerability in geopandas before v.1.1.2 allows an attacker to obtain sensitive information via the to_postgis()` function being used to write GeoDataFrames to a PostgreSQL database.",
"id": "PYSEC-2026-62",
"modified": "2026-05-20T09:19:01.303850Z",
"published": "2026-01-30T19:16:11.967Z",
"references": [
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2026/04/msg00025.html"
},
{
"type": "FIX",
"url": "https://github.com/geopandas/geopandas/pull/3681"
},
{
"type": "EVIDENCE",
"url": "https://aydinnyunus.github.io/2025/12/27/sql-injection-geopandas/"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
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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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