apb-cx-oracle-spatial

v1.1.1 suspicious
4.0
Medium Risk

cx_Oracle with spatial capabilities (SDO_GEOM and OGC)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows potential credential risk due to credential retrieval from environment variables and has a low metadata score due to the maintainer's limited presence on PyPI.

  • Credential risk due to use of environment variables for database credentials
  • Maintainer has only one package on PyPI
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected.
  • Credentials: The code appears to be retrieving database credentials from environment variables which could pose a risk if not properly secured.
  • Metadata: The maintainer has only one package on PyPI, which could indicate a new or less active account.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. test_gestor_oracle.py)
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (694 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Separate author ("Ernesto Arredondo Martínez") and maintainer ("Port de Barcelona") listed
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 4 type-annotated function signatures (partial)
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in portdebarcelona/PLANOL-generic_python_packages
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • ORA', "GIS"), os.getenv('PASSWORD_DB_ORA', "GIS123"), self.dsn_ora) r
  • os.getenv("USER_DB_ORA"), os.getenv("PASSWORD_DB_ORA"), self.dsn_ora, a_logger=get_base_logge
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository portdebarcelona/PLANOL-generic_python_packages appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Ernesto Arredondo Martínez" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with apb-cx-oracle-spatial 
Develop a location-based social media application called 'GeoConnect' using Python, which leverages the 'apb-cx-oracle-spatial' package for handling geospatial data. This application will allow users to post updates at specific locations and find other users nearby. Here’s a step-by-step guide on how to create this application:

1. **Setup Oracle Database**: Set up an Oracle database with spatial capabilities enabled, ensuring you have access to SDO_GEOMETRY and OGC functions.
2. **Install Required Packages**: Install necessary Python packages including 'apb-cx-oracle-spatial', 'flask' for web framework, and 'geopy' for geocoding services.
3. **Database Schema Creation**: Design and create a database schema that includes tables for Users, Posts, and Locations. Use 'apb-cx-oracle-spatial' to define spatial columns in these tables.
4. **User Authentication**: Implement user registration and login functionalities. Store user information in the Users table, ensuring their location data is stored as spatial data types using 'apb-cx-oracle-spatial'.
5. **Post Management**: Allow users to post messages along with their current location. Ensure the location data is stored as spatial data in the database using 'apb-cx-oracle-spatial'.
6. **Location-Based Queries**: Develop queries that use 'apb-cx-oracle-spatial' to find all posts within a certain radius of a given location. This could be based on the user's current location or any specified location.
7. **Nearby User Search**: Implement functionality to find other users who are within a defined distance from the logged-in user. Utilize 'apb-cx-oracle-spatial' for proximity searches.
8. **Visualization**: Integrate a map service (like Leaflet.js) into your Flask application to visualize posts and users on a map. Display markers for each post and user, indicating their locations.
9. **Testing & Deployment**: Thoroughly test all functionalities of GeoConnect, then deploy it to a cloud platform like AWS or Heroku.

**Suggested Features**:
- Support for real-time location updates.
- Ability to filter posts by location type (e.g., parks, restaurants).
- Integration with social media platforms for sharing posts.
- Advanced search options using keywords and location filters.

This project aims to demonstrate the power of integrating geospatial capabilities with web applications, making it easier to develop location-aware services.

💬 Discussion Feed

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