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The SQL injection vulnerability in geopandas’ to_postgis() function arises due to insufficient input sanitization when constructing SQL queries for writing GeoDataFrames to a PostgreSQL/PostGIS database. In versions prior to 1.1.2, user-supplied data, such as table names or schema parameters, may be directly concatenated into SQL statements without proper escaping or parameterization. This allows an attacker to inject malicious SQL code by crafting inputs that break the intended query structure. For instance, an attacker could manipulate input fields to include UNION SELECT statements, enabling unauthorized data retrieval from other database tables. The to_postgis() function internally utilizes database connectors that may not enforce parameterized queries, leading to classical injection flaws. When a GeoDataFrame is written using this function, the generated SQL command incorporates user-controlled strings, creating an injection point. An attacker exploiting this can execute arbitrary SQL commands on the database server, potentially disclosing sensitive geospatial information, credentials, or other confidential data stored in the database. The vulnerability is exacerbated in web applications or services that dynamically use geopandas with user inputs for database operations. The flaw stems from the lack of prepared statements or adequate validation in the query-building process. Attackers can leverage this to perform data exfiltration, bypass authentication, or manipulate database contents. The issue is fixed in version 1.1.2 by implementing proper parameter binding and input validation to prevent injection attacks.
Platform: geopandas
Version: before v.1.1.2
Vulnerability: SQL Injection
Severity: High
date: Jan 30, 2026
Prediction: Patch v.1.1.2
What Undercode Say:
Analytics
Vulnerability prevalence high
Common in data pipelines
Update dependencies immediately
Showing bash commands and codes related to the blog
pip show geopandas
python -c “import geopandas; print(geopandas.__version__)”
SELECT FROM pg_tables;
CREATE TABLE test (geog geometry);
how Exploit:
Craft malicious table names
Inject UNION SELECT statements
Bypass input validation
Protection from this CVE
Upgrade to v1.1.2
Use parameterized queries
Sanitize user inputs
Impact:
Information disclosure
Data integrity loss
Unauthorized data access
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Sources:
Reported By: github.com
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