accelbyte-py-sdk-service-csm

v0.14.0 suspicious
4.0
Medium Risk

AccelByte Python SDK - Custom Service Manager

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low individual risk factors such as no network calls, shell execution, or obfuscation, but it exhibits signs of low maintainer activity and poor metadata quality, raising suspicion about its authenticity and reliability.

  • Low maintainer activity
  • Poor metadata quality
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 likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, which could indicate potential risks but does not conclusively suggest malicious intent.

🔬 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

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with accelbyte-py-sdk-service-csm 
Develop a fully-functional mini-application that integrates the AccelByte Python SDK - Custom Service Manager (accelbyte-py-sdk-service-csm) to manage custom services within an online gaming platform. Your application will serve as a backend tool for administrators to easily create, update, delete, and retrieve information about custom services. Here’s a detailed breakdown of what your application should do and how it should utilize the package:

1. **Application Overview**: Create an application named 'CustomServiceManager' that allows game administrators to manage custom services such as leaderboards, matchmaking systems, and more.
2. **Features**:
   - **User Authentication**: Implement a secure login system where only authorized users can access the service management functionalities.
   - **Service Management**: Enable CRUD operations (Create, Read, Update, Delete) on custom services through a RESTful API interface.
   - **Monitoring & Alerts**: Provide real-time monitoring of custom services and send alerts when certain thresholds are met (e.g., high traffic).
   - **Reporting**: Generate reports on service performance, user engagement, and other relevant metrics.
3. **Utilizing accelbyte-py-sdk-service-csm**:
   - **Initialization**: Use the SDK to initialize connections and authenticate requests to the AccelByte platform.
   - **CRUD Operations**: Leverage the SDK’s functions to perform CRUD operations on custom services efficiently.
   - **Event Handling**: Implement event listeners using the SDK to handle real-time events and trigger alerts accordingly.
4. **Implementation Steps**:
   - Step 1: Set up the development environment with Python and install the required dependencies including 'accelbyte-py-sdk-service-csm'.
   - Step 2: Configure the SDK with your AccelByte credentials and initialize the connection.
   - Step 3: Design and implement the user authentication system.
   - Step 4: Develop the RESTful API endpoints for managing custom services.
   - Step 5: Integrate real-time event handling and alerting mechanisms.
   - Step 6: Build reporting capabilities to provide insights into service performance.
5. **Testing & Deployment**:
   - Thoroughly test each feature of the application to ensure reliability and security.
   - Deploy the application to a cloud platform like AWS or Azure, ensuring scalability and availability.