CVE-2025-69662: n/a
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.
AI Analysis
Technical Summary
This vulnerability involves an SQL injection flaw (CWE-89) in the to_postgis() function of geopandas prior to version 1.1.2. The function's improper handling of input allows an attacker to craft malicious input that can extract sensitive data from the underlying PostgreSQL database. The CVSS v3.1 base score is 8.6, reflecting network attack vector, low attack complexity, no privileges required, no user interaction, and a confidentiality impact classified as high with no impact on integrity or availability.
Potential Impact
Successful exploitation can lead to unauthorized disclosure of sensitive information from the PostgreSQL database used by geopandas. There is no impact on data integrity or system availability. The vulnerability can be exploited remotely without authentication or user interaction.
Mitigation Recommendations
Patch status is not yet confirmed—check the vendor advisory for current remediation guidance. 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.
CVE-2025-69662: n/a
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.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability involves an SQL injection flaw (CWE-89) in the to_postgis() function of geopandas prior to version 1.1.2. The function's improper handling of input allows an attacker to craft malicious input that can extract sensitive data from the underlying PostgreSQL database. The CVSS v3.1 base score is 8.6, reflecting network attack vector, low attack complexity, no privileges required, no user interaction, and a confidentiality impact classified as high with no impact on integrity or availability.
Potential Impact
Successful exploitation can lead to unauthorized disclosure of sensitive information from the PostgreSQL database used by geopandas. There is no impact on data integrity or system availability. The vulnerability can be exploited remotely without authentication or user interaction.
Mitigation Recommendations
Patch status is not yet confirmed—check the vendor advisory for current remediation guidance. 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.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2026-01-09T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 697d02b1ac06320222725d7d
Added to database: 1/30/2026, 7:12:49 PM
Last enriched: 4/22/2026, 6:06:06 AM
Last updated: 5/10/2026, 9:09:06 AM
Views: 110
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.