AI Analysis
Final verdict: SUSPICIOUS
The package shows moderate risk due to potential credential harvesting and obfuscation techniques that may be used to hide malicious content.
- credential risk of 7/10
- obfuscation risk of 5/10
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function properly.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands, reducing potential risks.
- Obfuscation: The use of base64 encoding and decoding along with JSON operations suggests an attempt to obfuscate data, which could be benign but also indicates potential for hiding malicious content.
- Credentials: The detection of environment variable retrieval for 'AWS_DEFAULT_REGION' and the presence of incomplete code related to asynchronous tasks hints at possible credential harvesting activities.
- Metadata: The author has only one package, suggesting a potentially new or less active account, but no other red flags are present.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 4.0
Found 2 obfuscation pattern(s)
message = json.loads( base64.b64decode(encoded_body.encode('utf-8')).decode() ) body_json =dy_json = json.loads( base64.b64decode(message['body'].encode('utf-8')).decode() ) assert
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
score 2.5
Found 1 credential access pattern(s)
ame__) AWS_DEFAULT_REGION = os.getenv('AWS_DEFAULT_REGION', '') BACKGROUND_TASKS = set() async def r
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: cuenca.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository cuenca-mx/agave appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Cuenca" 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 agave
Create a mini-application that acts as a RESTful API server using the 'agave' package. This application will allow users to manage a simple inventory system where items can be added, updated, deleted, and queried based on various criteria. The 'agave' package is primarily designed to work with REST APIs, making it ideal for this project. ### Project Requirements: 1. **Setup**: Start by installing the 'agave' package and setting up your development environment. Ensure you have Python 3.x installed. 2. **API Endpoints**: - `/items`: GET request to retrieve all items in the inventory. - `/items/<item_id>`: GET request to retrieve a specific item by its ID. - `/items`: POST request to add a new item to the inventory. - `/items/<item_id>`: PUT request to update an existing item in the inventory. - `/items/<item_id>`: DELETE request to remove an item from the inventory. 3. **Database Integration**: Use SQLite as the database to store the inventory data. Each item should have fields like `id`, `name`, `description`, `quantity`, and `price`. 4. **Error Handling**: Implement proper error handling for cases such as non-existent item IDs, missing required fields during POST/PUT requests, etc. 5. **Documentation**: Write comprehensive documentation for your API endpoints including example usage and expected responses. 6. **Security**: Although not mandatory, consider adding basic authentication to protect sensitive operations like deletion of items. ### Utilizing 'agave': - The 'agave' package simplifies the creation of RESTful APIs in Python. It allows for easy definition of routes and handling of HTTP methods. You'll use 'agave' to define the structure of your API endpoints, handle incoming requests, and return appropriate responses. - For each endpoint defined above, utilize 'agave' to map HTTP methods to corresponding functions that interact with your SQLite database. For instance, a POST request to `/items` would trigger a function that adds a new record to the database. - Leverage 'agave's built-in middleware and decorators to streamline processes such as input validation and response formatting. ### Additional Features (Optional): - Implement a search feature where users can query items based on name or description. - Add support for filtering items by price range or quantity. - Integrate logging to track API activity and errors. ### Deliverables: - A fully functional REST API server running locally. - Source code with clear comments and structure. - Comprehensive documentation covering all API endpoints and their usage. - A README file detailing setup instructions, dependencies, and how to run the application.