OpenMLBB

v4.0.10 safe
3.0
Low Risk

Official Python SDK for the MLBB Public Data API

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with network, shell, obfuscation, and credential handling. While there is a low metadata risk due to a new maintainer and lack of classifiers, these factors alone do not indicate a malicious intent or supply-chain attack.

  • Low network risk
  • No shell execution
  • No obfuscation
  • No credential harvesting
  • New maintainer with low engagement
Per-check LLM notes
  • Network: The presence of network calls suggests the package interacts with an external service, which is common but requires scrutiny to ensure it's not misused.
  • Shell: No shell execution patterns detected, indicating low risk of direct system command injection.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Low risk, but new maintainer and lack of classifiers suggest low engagement or oversight.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • active_session = session or requests.Session() self._transport = _Transport( base_url
✓ 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

Repository ridwaanhall/api-mobilelegends appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "ridwaanhall" 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 OpenMLBB 
Create a Python-based mini-application that serves as a mobile game information dashboard, focusing on Mobile Legends: Bang Bang (MLBB). This application will utilize the 'OpenMLBB' package to fetch and display data from the official MLBB Public Data API. The goal is to provide users with real-time insights into various aspects of the game, such as player statistics, match results, and tournament schedules. Here are the key steps and features you should include in your application:

1. **Setup and Initialization**: Begin by setting up your Python environment and installing the necessary packages, including 'OpenMLBB'. Ensure you have an understanding of how to authenticate with the MLBB API using 'OpenMLBB'.
2. **User Interface Design**: Develop a simple yet intuitive user interface where users can input player names or IDs to retrieve specific player data. Consider using a lightweight web framework like Flask to create a basic web app.
3. **Player Profile Section**: Implement a feature that fetches and displays detailed player profiles. Use 'OpenMLBB' to pull data such as player rank, win rate, most played heroes, and recent matches.
4. **Match History Feature**: Allow users to view the history of matches played by a selected player. Include details such as match outcomes, hero used, and performance metrics like kills, deaths, assists.
5. **Tournament Schedule and Results**: Integrate a section to showcase upcoming tournaments and their schedules. Additionally, provide a feature to view past tournament results and highlight winning teams or players.
6. **Hero Information**: Offer a database of all heroes in MLBB, providing details such as hero roles, strengths, weaknesses, and recommended items. Users should be able to search for heroes by name or role.
7. **Real-Time Updates**: Ensure that the application periodically fetches updates from the MLBB API to keep all displayed data current and relevant.
8. **Error Handling and User Feedback**: Implement robust error handling to manage scenarios such as invalid inputs or API errors gracefully. Provide clear feedback messages to guide users.

By following these guidelines, you'll develop a comprehensive tool that leverages the power of 'OpenMLBB' to enhance the gaming experience for MLBB enthusiasts.

💬 Discussion Feed

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