AI Analysis
Final verdict: SUSPICIOUS
The package is flagged as suspicious due to its execution of shell commands that could potentially execute arbitrary code, despite showing no signs of obfuscation or credential harvesting.
- Shell risk due to detected npm and node command executions
- Lack of detailed description and metadata
Per-check LLM notes
- Network: No network calls detected, which is neutral.
- Shell: Detected shell executions to run npm and node commands, which could be legitimate for certain bot functionalities but also indicates potential risk for unauthorized actions.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some signs of low effort and potential novelty, but lacks clear indicators of malicious intent.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 6.0
Found 3 shell execution pattern(s)
ları yükleniyor...") subprocess.run("npm install mineflayer mineflayer-pathfinder mineflayer-pvptry: process = subprocess.Popen( ["node", js_path, mode_type, str(version), strr-pathfinder mineflayer-pvp", shell=True, cwd=current_dir) try: process = subprocess
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
Only one version has ever been released — brand new packageAuthor "Tencent" 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 Tencentbot
Create a Python-based mini-application that leverages the 'Tencentbot' package to manage multiple bots on Minecraft servers, focusing on PVP (Player versus Player) activities. Your application should be able to perform the following tasks: 1. **Bot Initialization**: Allow users to initialize multiple bots using the 'Tencentbot' package, specifying unique nicknames, server addresses, and any other necessary configurations. 2. **PVP Combat Simulation**: Implement a feature where bots engage in simulated PVP combat against each other. This should include basic AI logic for movement, attack patterns, and defense strategies. 3. **Stat Tracking and Reporting**: After each PVP match, your application should track and report stats such as win/loss ratio, kills/deaths ratio, and total damage dealt. 4. **Server Management**: Provide functionality to join and leave servers dynamically, based on user input or predefined schedules. 5. **Customizable Bot Behaviors**: Allow users to customize bot behaviors through configuration files or command-line arguments, including settings like aggression level, preferred weapons, and healing frequency. 6. **Real-time Feedback**: Integrate real-time feedback mechanisms so users can monitor bot actions and performance during PVP matches. 7. **Integration with External APIs**: Optionally, integrate with external APIs to fetch additional data, such as player rankings or item statistics, enhancing the depth of your application. Your task is to design and implement this mini-application, ensuring it effectively utilizes the 'Tencentbot' package's capabilities while providing a rich, interactive experience for users interested in Minecraft bot management and PVP simulation.