aiopayme

v1.0.0 safe
4.0
Medium Risk

Async Python library for Payme integration

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of malicious activity, with only slight concerns about metadata and obfuscation techniques.

  • Low network and shell risks
  • No clear signs of credential harvesting
  • Suspicion due to incomplete maintainer information
Per-check LLM notes
  • Network: The use of HTTP POST requests is common for sending data to a server and does not inherently indicate malicious activity.
  • Shell: No shell execution patterns detected, indicating low risk for direct system command execution.
  • Obfuscation: The use of base64 decoding is common for handling encoded authentication strings and does not inherently indicate malicious activity.
  • Credentials: No clear signs of credential harvesting are present based on the provided information.
  • Metadata: The maintainer has a new or inactive account and lacks detailed author information, which raises some suspicion but not enough to conclusively indicate malice.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://aiopayme.github.io
  • Detailed PyPI description (10764 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 37 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 18 commits in aiopayme/aiopayme
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • } async with httpx.AsyncClient() as client: response = await client.post(
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • try: decoded = base64.b64decode(auth.replace("Basic ", "")).decode() login, key
✓ 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: list.ru>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aiopayme/aiopayme 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 aiopayme 
Your task is to create a simple yet functional asynchronous web application using Python and the 'aiopayme' library. This application will serve as a payment gateway interface, allowing users to make payments via Payme. The app should have a clean user interface and provide real-time feedback on transaction statuses.

**Core Features:**
1. User Registration and Login: Allow users to register and log in to their accounts securely.
2. Payment Processing: Implement a feature where users can initiate a payment request through Payme. Ensure the payment process is handled asynchronously to maintain responsiveness.
3. Transaction Status Updates: Provide a mechanism for users to check the status of their transactions in real-time.
4. Admin Dashboard: Create an admin dashboard where administrators can monitor all transactions, including successful payments, failed attempts, and pending statuses.

**How to Utilize 'aiopayme':**
- Use 'aiopayme' to integrate Payme into your application. Focus on utilizing its asynchronous capabilities to ensure smooth and efficient transaction handling without blocking the main thread.
- For initiating payments, use 'aiopayme' methods to generate payment requests and handle callbacks for transaction updates.
- Leverage 'aiopayme' to fetch transaction details and statuses, which will be displayed on the user and admin interfaces.

**Additional Features (Optional):**
- Email Notifications: Send email notifications to users after a payment has been successfully processed or if there is any issue during the transaction.
- Mobile App Support: Extend the functionality to support mobile devices, ensuring a responsive design.
- Integration with Other Services: Consider integrating other services such as logging errors, sending SMS notifications, or integrating with other payment gateways.

This project aims to showcase your ability to work with asynchronous libraries in Python while providing practical experience in integrating third-party APIs and handling user interactions.

💬 Discussion Feed

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