CVE-2025-69662
📋 TL;DR
CVE-2025-69662 is an SQL injection vulnerability in geopandas' to_postgis() function that allows attackers to execute arbitrary SQL commands when writing GeoDataFrames to PostgreSQL databases. This can lead to data theft, modification, or database compromise. Users of geopandas applications that export geographic data to PostgreSQL are affected.
💻 Affected Systems
- geopandas
📦 What is this software?
Geopandas by Geopandas
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise including data exfiltration, data destruction, privilege escalation to database server, and potential lateral movement to connected systems.
Likely Case
Data theft of sensitive geographic information, modification of spatial data integrity, and potential exposure of database credentials.
If Mitigated
Limited impact with proper input validation, parameterized queries, and database user privilege restrictions in place.
🎯 Exploit Status
Exploitation requires user input to reach the vulnerable to_postgis() function parameters. Public proof-of-concept demonstrates injection via schema and table name parameters.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: 1.1.2
Vendor Advisory: https://github.com/geopandas/geopandas/pull/3681
Restart Required: No
Instructions:
1. Update geopandas: pip install --upgrade geopandas>=1.1.2
2. Verify installation: python -c "import geopandas; print(geopandas.__version__)"
3. Test to_postgis() functionality with your application.
🔧 Temporary Workarounds
Input validation and sanitization
allValidate and sanitize all user inputs passed to to_postgis() parameters before function execution.
Use parameterized queries manually
allBypass vulnerable to_postgis() by implementing custom parameterized SQL queries for PostgreSQL writes.
🧯 If You Can't Patch
- Implement strict input validation for all parameters passed to to_postgis() function
- Restrict database user permissions to minimum required privileges (read-only if possible)
🔍 How to Verify
Check if Vulnerable:
Check if application uses geopandas.to_postgis() with any user-controlled parameters like table names or schema names.Check Version:
python -c "import geopandas; print(geopandas.__version__)"Verify Fix Applied:
Verify geopandas version is 1.1.2 or higher and test to_postgis() with attempted SQL injection payloads.📡 Detection & Monitoring
Log Indicators:
- Unusual SQL queries from application to PostgreSQL
- Multiple failed login attempts to database
- Unexpected schema or table creation/modification
Network Indicators:
- SQL injection patterns in application-to-database traffic
- Unusual database query volume from application server
SIEM Query:
source="postgresql" AND (query="DROP" OR query="UNION" OR query="SELECT * FROM") AND src_ip="[application_server]"