🤖 AI Analysis

Final verdict: SAFE

The package shows low risks in terms of network, shell, obfuscation, and credential activities. However, the metadata risk is elevated due to low repository engagement and recent activity, which may indicate potential supply-chain concerns.

Low risks in network, shell, obfuscation, and credential activities.
Elevated metadata risk due to low repository engagement and recent activity.

Per-check LLM notes

Network: The observed network calls are typical for an API interaction and do not suggest malicious behavior.
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 recent activity and low engagement raise suspicion.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

try: res = requests.post(f"{self.BASE_URL}/getUpdates", json=params, timeout=15)
""" response = requests.get(file_url, timeout=timeout) if response.status_code
ame = 'getMe' response = requests.post(f"{API_BASE_URL}/{token}/{method_name}") data: dict = r
d } res = requests.post(f"{API_BASE_URL}/{token}/getChat", json=data, timeout=timeou
out: int=15): response = requests.post(upload_url, files=files, timeout=timeout) if _check_res

✓ 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

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks
All 10 commits happened within 24 hours

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Alireza Sadeghian" 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 PyRubikaBotAPI

Your task is to create a fully functional mini-application called 'ChatMonitorBot' using the Python package 'PyRubikaBotAPI'. This application will serve as a powerful tool for monitoring and managing chat activities within the Rubika platform. Your goal is to build a bot that can perform several key functions, such as greeting new users who join a specific chat group, tracking message activity, and providing automated responses based on certain keywords or phrases.

### Key Features:
1. **User Greeting**: When a new user joins a designated chat group, the bot should automatically send a welcoming message to the user, introducing them to the community and providing useful information about the group.
2. **Message Tracking**: The bot should be able to track all messages sent in the chat and log them into a database for future reference. This feature will help in maintaining a record of discussions and ensuring accountability.
3. **Keyword Response System**: Implement a system where the bot responds to specific keywords or phrases with predefined messages. For example, if a user types 'help', the bot should reply with instructions on how to use the chat group effectively.
4. **Admin Alerts**: If any user sends a message containing inappropriate content, the bot should alert the group admins via private message. This ensures quick action against unwanted behavior.
5. **Statistics Generation**: At regular intervals (e.g., daily), the bot should generate statistics about chat activity, such as the number of messages sent, most active users, etc., and post these stats back into the chat.

### How to Utilize 'PyRubikaBotAPI':
- Use the 'connect' method to establish a connection with the Rubika server and authenticate your bot.
- Leverage the 'listen' function to monitor real-time chat events like user joins, messages sent, etc.
- Employ the 'send_message' function to send greetings or automated responses.
- Integrate the 'get_chat_info' and 'get_user_info' methods to gather necessary details about chats and users.
- Make use of the 'post_message' method to share generated statistics in the chat.
- Utilize the 'alert_admins' function (or similar) to notify admins about potential issues.

Your application should be designed with scalability in mind, allowing for easy addition of more features or integration with other services in the future.