🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across various categories with no signs of malicious activities. The incomplete metadata and obfuscation through base64 encoding slightly elevate the risk but do not indicate a supply-chain attack.

Incomplete maintainer's author information
Use of base64 decoding

Per-check LLM notes

Network: Network calls via requests.Session() are common for packages needing to interact with web services or APIs, like Odoo's REST API.
Shell: No shell execution patterns detected.
Obfuscation: The use of base64 decoding is common for data storage and transmission, indicating potential legitimate use rather than malicious intent.
Credentials: No patterns indicative of credential harvesting were detected.
Metadata: The maintainer's author information is incomplete and they may have a new or inactive account.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

C: self.session = requests.Session() def authenticate(self ) -> int:

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

content results = base64.b64decode(s=results['file']) else: results = None

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: muflone.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://www.muflone.com/pyodoo/

✓ Git Repository History

Repository muflone/pyodoo appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 PyOdoo

Create a Python-based inventory management system using the PyOdoo package. This system will allow users to interact with an Odoo database to manage product inventories, including adding new products, updating stock levels, and tracking product movements. The application should have the following features:

1. **Product Management**: Users should be able to add new products, update existing ones, and delete products from the inventory.
2. **Stock Level Updates**: Provide functionality to adjust stock levels based on sales, purchases, or other transactions.
3. **Search Functionality**: Implement a search feature that allows users to find products by name, category, or barcode.
4. **Report Generation**: Develop a feature that generates reports showing product details such as total stock, last updated date, and recent movements.
5. **User Authentication**: Ensure that only authenticated users can access the inventory management functionalities.

To achieve these objectives, you will need to utilize PyOdoo's capabilities to connect to an Odoo server, authenticate users, and perform CRUD operations on the product and stock models. The application should be designed with a simple and intuitive user interface, possibly using a web framework like Flask or Django for front-end interaction. Additionally, include documentation detailing how to set up the environment, install dependencies, and run the application.