ubuntu-cve-2025-69662
Vulnerability from osv_ubuntu
Published
2026-01-30 19:16
Modified
2026-03-13 15:34
Summary
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)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
N/A (UNKNOWN)
medium
References
To clipboard 

{
  "affected": [
    {
      "ecosystem_specific": {
        "availability": "No subscription required",
        "binaries": [
          {
            "binary_name": "python3-geopandas",
            "binary_version": "0.10.2-1ubuntu0.1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:22.04:LTS",
        "name": "python-geopandas",
        "purl": "pkg:deb/ubuntu/python-geopandas@0.10.2-1ubuntu0.1?arch=source\u0026distro=jammy"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.10.2-1ubuntu0.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.8.2-1",
        "0.10.2-1"
      ]
    },
    {
      "ecosystem_specific": {
        "availability": "No subscription required",
        "binaries": [
          {
            "binary_name": "python3-geopandas",
            "binary_version": "0.14.3-2ubuntu0.1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:24.04:LTS",
        "name": "python-geopandas",
        "purl": "pkg:deb/ubuntu/python-geopandas@0.14.3-2ubuntu0.1?arch=source\u0026distro=noble"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.14.3-2ubuntu0.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.13.2-3",
        "0.14.0-1",
        "0.14.1-1",
        "0.14.2-1",
        "0.14.3-1",
        "0.14.3-2"
      ]
    },
    {
      "ecosystem_specific": {
        "availability": "No subscription required",
        "binaries": [
          {
            "binary_name": "python3-geopandas",
            "binary_version": "1.0.1-2ubuntu0.1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:25.10",
        "name": "python-geopandas",
        "purl": "pkg:deb/ubuntu/python-geopandas@1.0.1-2ubuntu0.1?arch=source\u0026distro=questing"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.0.1-2ubuntu0.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.0.1-1",
        "1.0.1-2"
      ]
    }
  ],
  "aliases": [],
  "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": "UBUNTU-CVE-2025-69662",
  "modified": "2026-03-13T15:34:11Z",
  "published": "2026-01-30T19:16:00Z",
  "references": [
    {
      "type": "REPORT",
      "url": "https://ubuntu.com/security/CVE-2025-69662"
    },
    {
      "type": "REPORT",
      "url": "https://www.cve.org/CVERecord?id=CVE-2025-69662"
    },
    {
      "type": "REPORT",
      "url": "https://aydinnyunus.github.io/2025/12/27/sql-injection-geopandas/"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/geopandas/geopandas/pull/3681"
    },
    {
      "type": "ADVISORY",
      "url": "https://ubuntu.com/security/notices/USN-8083-1"
    }
  ],
  "related": [
    "USN-8083-1"
  ],
  "schema_version": "1.7.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "medium",
      "type": "Ubuntu"
    }
  ],
  "upstream": [
    "CVE-2025-69662"
  ]
}



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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

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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.


Detection rules are retrieved from Rulezet.