afini-twin-sdk

v0.1.0 suspicious
4.0
Medium Risk

Official Python SDK for the AfiniTwin B2B API.

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package shows low immediate risks such as network, shell, obfuscation, and credential risks. However, the high metadata risk due to unusual repository activity and the author's lack of history raises concerns about potential malicious intent.

  • High metadata risk due to unusual repository activity
  • Author has no prior history
Per-check LLM notes
  • Network: The use of httpx for making network calls is common and not inherently suspicious, but could indicate potential for data exfiltration if misused.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository's unusual activity patterns and the author's lack of history suggest potential malicious intent.

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • e: self._client = httpx.AsyncClient(timeout=self.timeout) return self async def __a
  • e: self._client = httpx.AsyncClient(timeout=self.timeout) self._owned_client = True
  • e: self._client = httpx.Client(timeout=self.timeout) return self def __exit__(
  • e: self._client = httpx.Client(timeout=self.timeout) return self._client def _
βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: afini.ai>

βœ“ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Single contributor with only 3 commit(s) β€” possibly throwaway account
  • All 3 commits happened within 24 hours
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released β€” brand new package
  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with afini-twin-sdk
Your task is to develop a mini-application that leverages the AfiniTwin B2B API through the 'afini-twin-sdk' Python package to create a streamlined inventory management system for small businesses. This application will allow users to easily manage their product inventories, including adding new products, updating stock levels, and viewing detailed product information. Here’s a breakdown of the key functionalities you need to implement:

1. **Product Management**: Users should be able to add new products, which includes specifying details like product name, description, category, price, and initial stock quantity.
2. **Stock Updates**: Implement functionality that allows users to update stock levels for any given product. This could include increasing stock due to new shipments or decreasing it due to sales.
3. **Inventory Overview**: Create a feature that provides a comprehensive overview of all products in the inventory, showing current stock levels, prices, and categories.
4. **Search Functionality**: Enable users to search for specific products either by name, category, or other relevant criteria.
5. **Reporting**: Integrate a simple reporting feature that generates summary reports of the inventory, such as total value of inventory, average stock levels, etc.

To achieve these goals, you will extensively use the 'afini-twin-sdk' package, which offers various methods for interacting with the AfiniTwin B2B API. For instance, you might use methods like `add_product`, `update_stock`, `get_inventory_overview`, `search_products`, and `generate_report` provided by the SDK to implement the above functionalities. Remember to handle exceptions gracefully and ensure user inputs are validated to maintain data integrity. Additionally, consider implementing a user-friendly interface, possibly using a simple command-line interface (CLI) or a basic web front-end if you're comfortable with frameworks like Flask or Django.