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VulnerabilityPublished Updated

CVE-2025-69662: geopandas · SQL Injection

Affects geopandasSource CVE Database V5

0

Not known to be exploited · CVSS 8.6 High : upgrade to 1.1.2 soon.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 3.1 base score
8.6High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 37% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.1.2
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 30 Jan 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Upgrade geopandas to 1.1.2.

Affected software

ProductAffectedFixed in
PyPIgeopandaspkg:pypi/geopandasOther threatsAffected
  • <1.1.2
Fixed in
  • 1.1.2

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Users should upgrade to geopandas version 1.1.2 or later once available or apply any official fixes provided by the vendor. Until a patch is confirmed, avoid using the to_postgis() function with untrusted input or implement additional input validation and query parameterization as a temporary mitigation.

Description

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.

References

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